diff --git a/unravel/docs/_build/doctrees/environment.pickle b/unravel/docs/_build/doctrees/environment.pickle index 945eb36c..ede868a6 100644 Binary files a/unravel/docs/_build/doctrees/environment.pickle and b/unravel/docs/_build/doctrees/environment.pickle differ diff --git a/unravel/docs/_build/doctrees/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.doctree b/unravel/docs/_build/doctrees/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.doctree index 1225674f..edb03f7c 100644 Binary files a/unravel/docs/_build/doctrees/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.doctree and b/unravel/docs/_build/doctrees/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.doctree differ diff --git a/unravel/docs/_build/doctrees/unravel/register/reg_prep.doctree b/unravel/docs/_build/doctrees/unravel/register/reg_prep.doctree index 6d6706e8..0af1bec1 100644 Binary files a/unravel/docs/_build/doctrees/unravel/register/reg_prep.doctree and b/unravel/docs/_build/doctrees/unravel/register/reg_prep.doctree differ diff --git a/unravel/docs/_build/doctrees/unravel/voxel_stats/mirror.doctree b/unravel/docs/_build/doctrees/unravel/voxel_stats/mirror.doctree index 6f97566c..fdf7e544 100644 Binary files a/unravel/docs/_build/doctrees/unravel/voxel_stats/mirror.doctree and b/unravel/docs/_build/doctrees/unravel/voxel_stats/mirror.doctree differ diff --git a/unravel/docs/_build/html/_modules/unravel/cluster_stats/brain_model.html b/unravel/docs/_build/html/_modules/unravel/cluster_stats/brain_model.html index d929fda2..226d5836 100644 --- a/unravel/docs/_build/html/_modules/unravel/cluster_stats/brain_model.html +++ b/unravel/docs/_build/html/_modules/unravel/cluster_stats/brain_model.html @@ -372,7 +372,7 @@

Source code for unravel.cluster_stats.brain_model

from rich import print from rich.traceback import install -from unravel.core.argparse_utils import SuppressMetavar, SM +from unravel.core.argparse_utils import SuppressMetavar, SM from unravel.core.config import Configuration from unravel.core.utils import log_command, verbose_start_msg, verbose_end_msg from unravel.voxel_stats.mirror import mirror @@ -392,6 +392,8 @@

Source code for unravel.cluster_stats.brain_model

return parser.parse_args()
+# TODO: Consider consolidating regional_summary.csv (regional_summary_CCFv3-2017.csv) and regional_summary_CCFv3-2020.csv and ideally add logic to match usage automatic (i.e., no extra arg needed) +
[docs] diff --git a/unravel/docs/_build/html/_modules/unravel/cluster_stats/org_data.html b/unravel/docs/_build/html/_modules/unravel/cluster_stats/org_data.html index 63a83e71..9f924970 100644 --- a/unravel/docs/_build/html/_modules/unravel/cluster_stats/org_data.html +++ b/unravel/docs/_build/html/_modules/unravel/cluster_stats/org_data.html @@ -443,11 +443,11 @@

Source code for unravel.cluster_stats.org_data

cluster_correction_dir = validation_dir_name # Regular expression to match the part before and after 'q*' to remove any suffix added to the rev_cluster_index<suffix>.nii.gz - pattern = r'(.*q\d+\.\d+)(_.*)' + pattern = r'(.*q\d+\.\d+)(_.+)?' # This also works when there is no "suffix" match = re.match(pattern, cluster_correction_dir) if match: cluster_correction_dir = match.group(1) - suffix = match.group(2)[1:] # Remove the leading underscore + suffix = match.group(2)[1:] if match.group(2) else '' # This gets the string after the q value if there is one else: print("\n [red1]No match found in cluster_org_data\n") diff --git a/unravel/docs/_build/html/_modules/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.html b/unravel/docs/_build/html/_modules/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.html index 7ee81b73..d0ece924 100644 --- a/unravel/docs/_build/html/_modules/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.html +++ b/unravel/docs/_build/html/_modules/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.html @@ -359,6 +359,10 @@

Source code for unravel.cluster_stats.recursively_mirror_rev_cluster_indices cluster_mirror_indices -m RH -v Use this command after ``cluster_fdr`` to mirror the cluster indices for the other side of the brain before running ``cluster_validation``. + +Note: + - Use -ax 2 and -s 0 for the CCFv3 2020 atlas. + - Use -ax 0 and -s 2 for the 25 um Gubra atlas """ import argparse @@ -380,15 +384,13 @@

Source code for unravel.cluster_stats.recursively_mirror_rev_cluster_indices parser = argparse.ArgumentParser(formatter_class=SuppressMetavar) parser.add_argument('-m', '--mas_side', help='Side of the brain corresponding to the mask used for ``vstats`` and ``cluster_fdr`` (RH or LH)', choices=['RH', 'LH'], required=True, action=SM) parser.add_argument('-p', '--pattern', help='Glob pattern to match files. Default: **/*rev_cluster_index.nii.gz', default='**/*rev_cluster_index.nii.gz', action=SM) - parser.add_argument('-ax', '--axis', help='Axis to flip the image along. Default: 0', default=0, type=int, action=SM) - parser.add_argument('-s', '--shift', help='Number of voxels to shift content after flipping. Default: 2', default=2, type=int, action=SM) + parser.add_argument('-ax', '--axis', help='Axis to flip the image along. Default: 2', default=2, type=int, action=SM) + parser.add_argument('-s', '--shift', help='Number of voxels to shift content after flipping. Default: 0', default=0, type=int, action=SM) parser.add_argument('-v', '--verbose', help='Increase verbosity. Default: False', action='store_true', default=False) parser.epilog = __doc__ return parser.parse_args()

-# TODO: adapt to work with CCFv3 images if needed -
[docs] diff --git a/unravel/docs/_build/html/_modules/unravel/core/img_io.html b/unravel/docs/_build/html/_modules/unravel/core/img_io.html index 82a1b824..c9797032 100644 --- a/unravel/docs/_build/html/_modules/unravel/core/img_io.html +++ b/unravel/docs/_build/html/_modules/unravel/core/img_io.html @@ -597,6 +597,8 @@

Source code for unravel.core.img_io

     def load_single_tif(tif_file):
         """Load a single .tif file using OpenCV and return the ndarray."""
         img = cv2.imread(str(tif_file), cv2.IMREAD_UNCHANGED)
+        if img is None:
+            raise ValueError(f"Failed to load image: {tif_file}")
         return img
     tif_files = sorted(Path(tif_path).parent.glob("*.tif"))
     if parallel_loading:
diff --git a/unravel/docs/_build/html/_modules/unravel/register/reg_prep.html b/unravel/docs/_build/html/_modules/unravel/register/reg_prep.html
index bed89196..15cd290d 100644
--- a/unravel/docs/_build/html/_modules/unravel/register/reg_prep.html
+++ b/unravel/docs/_build/html/_modules/unravel/register/reg_prep.html
@@ -356,7 +356,7 @@ 

Source code for unravel.register.reg_prep

 
 Usage:
 ------
-    reg_prep -i <asterisk>.czi [-e <list of paths to exp dirs>] [-v]
+    reg_prep -i <asterisk>.czi -x <x/y voxel size in microns> -z <z voxel size> [-e <list of paths to exp dirs>] [-v]
 
 Run command from the experiment directory w/ sample?? folder(s), a sample?? folder, or provide -e or -d arguments.
 
@@ -383,7 +383,6 @@ 

Source code for unravel.register.reg_prep

 from unravel.core.img_io import load_3D_img, resolve_path, save_as_tifs, save_as_nii
 from unravel.core.img_tools import resample, reorient_for_raw_to_nii_conv
 from unravel.core.utils import log_command, verbose_start_msg, verbose_end_msg, initialize_progress_bar, get_samples, print_func_name_args_times
-from unravel.segment.copy_tifs import copy_specific_slices
 
 
 
@@ -394,21 +393,19 @@

Source code for unravel.register.reg_prep

     parser.add_argument('-p', '--pattern', help='Pattern for sample?? dirs. Use cwd if no matches.', default='sample??', action=SM)
     parser.add_argument('-d', '--dirs', help='List of sample?? dir names or paths to dirs to process', nargs='*', default=None, action=SM)
     parser.add_argument('-i', '--input', help='Full res image input path relative (rel_path) to ./sample??', required=True, action=SM)
+    parser.add_argument('-x', '--xy_res', help='x/y voxel size in microns of the input image.', required=True, type=float, action=SM)  # Set up   Default: get via ``io_metadata``
+    parser.add_argument('-z', '--z_res', help='z voxel size in microns of the input image.', required=True, type=float, action=SM)  # Set up   Default: get via ``io_metadata``
     parser.add_argument('-c', '--channel', help='.czi channel number. Default: 0 for autofluo', default=0, type=int, action=SM)
     parser.add_argument('-o', '--output', help='Output path. Default: reg_inputs/autofl_50um.nii.gz', default="reg_inputs/autofl_50um.nii.gz", action=SM)
-    parser.add_argument('-x', '--xy_res', help='x/y voxel size in microns of the input image. Default: get via metadata', default=None, type=float, action=SM)
-    parser.add_argument('-z', '--z_res', help='z voxel size in microns of the input image. Default: get via metadata', default=None, type=float, action=SM)
     parser.add_argument('-r', '--reg_res', help='Resample input to this res in um for reg. Default: 50', default=50, type=int, action=SM)
     parser.add_argument('-zo', '--zoom_order', help='Order for resampling (scipy.ndimage.zoom). Default: 1', default=1, type=int, action=SM)
-    parser.add_argument('-td', '--target_dir', help='path/target_dir name to copy specific slices for seg_brain_mask (see usage)', default=None, action=SM)
-    parser.add_argument('-s', '--slices', help='List of slice numbers to copy, e.g., 0000 0400 0800', nargs='*', type=str, default=[])
     parser.add_argument('-mi', '--miracl', help="Include reorientation step to mimic MIRACL's tif to .nii.gz conversion", action='store_true', default=False)
     parser.add_argument('-v', '--verbose', help='Increase verbosity. Default: False', action='store_true', default=False)
     parser.epilog = __doc__
     return parser.parse_args()
-# TODO: Remove args.target_dir since this can be done with ``seg_copy_tifs`` +# TODO: The script works if -x and -z are provided. Fix it so that it works if they are not provided (i.e., get res via ``io_metadata`` output: sample??/parameters/metadata.txt)
@@ -448,11 +445,6 @@

Source code for unravel.register.reg_prep

     Configuration.verbose = args.verbose
     verbose_start_msg()
 
-    if args.target_dir is not None:
-        # Create the target directory for copying the selected slices for ``seg_brain_mask``
-        target_dir = Path(args.target_dir)
-        target_dir.mkdir(exist_ok=True, parents=True)
-
     samples = get_samples(args.dirs, args.pattern, args.exp_paths)
     
     progress, task_id = initialize_progress_bar(len(samples), "[red]Processing samples...")
@@ -485,11 +477,6 @@ 

Source code for unravel.register.reg_prep

             # Save the prepped autofl image (for ``reg`` if skipping ``seg_brain_mask`` and for applying the brain mask)
             save_as_nii(img_resampled, output, args.reg_res, args.reg_res, np.uint16)
 
-            if args.target_dir is not None:
-                # Copy specific slices to the target directory
-                tif_dir = str(output).replace('.nii.gz', '_tifs')
-                copy_specific_slices(sample_path, tif_dir, target_dir, args.slices)
-
             progress.update(task_id, advance=1)
 
     verbose_end_msg()
diff --git a/unravel/docs/_build/html/_modules/unravel/segment/copy_tifs.html b/unravel/docs/_build/html/_modules/unravel/segment/copy_tifs.html index ff0c160c..51c31eb1 100644 --- a/unravel/docs/_build/html/_modules/unravel/segment/copy_tifs.html +++ b/unravel/docs/_build/html/_modules/unravel/segment/copy_tifs.html @@ -408,10 +408,7 @@

Source code for unravel.segment.copy_tifs

             dest_file = target_dir / f'{sample_path.name}_{file_path.name}'
             shutil.copy(file_path, dest_file)
             if verbose:
-                print(f"Copied {file_path} to {dest_file}")
-        else:
-            if verbose:
-                print(f"File {file_path.name} does not match specified slices and was not copied.")
+ print(f"Copied {file_path} to {dest_file}")
diff --git a/unravel/docs/_build/html/_modules/unravel/voxel_stats/mirror.html b/unravel/docs/_build/html/_modules/unravel/voxel_stats/mirror.html index 7cfe3534..fb2774f6 100644 --- a/unravel/docs/_build/html/_modules/unravel/voxel_stats/mirror.html +++ b/unravel/docs/_build/html/_modules/unravel/voxel_stats/mirror.html @@ -359,8 +359,9 @@

Source code for unravel.voxel_stats.mirror

 ------
     vstats_mirror -v
 
-Note: 
-    The current defaults are specific to our version of the Gubra atlas and may need to be adjusted for other atlases.
+Note:
+    - Use -ax 2 and -s 0 for the CCFv3 2020 atlas.
+    - Use -ax 0 and -s 2 for the 25 um Gubra atlas
 """
 
 import argparse
@@ -379,20 +380,18 @@ 

Source code for unravel.voxel_stats.mirror

 def parse_args():
     parser = argparse.ArgumentParser(formatter_class=SuppressMetavar)
     parser.add_argument('-p', '--pattern', help='Pattern to match files. Default: *.nii.gz', default='*.nii.gz', action=SM)
-    parser.add_argument('-ax', '--axis', help='Axis to flip the image along. Default: 0', default=0, type=int, action=SM)
-    parser.add_argument('-s', '--shift', help='Number of voxels to shift content after flipping. Default: 2', default=2, type=int, action=SM)
+    parser.add_argument('-ax', '--axis', help='Axis to flip the image along. Default: 2', default=2, type=int, action=SM)
+    parser.add_argument('-s', '--shift', help='Number of voxels to shift content after flipping. Default: 0', default=0, type=int, action=SM)
     parser.add_argument('-v', '--verbose', help='Increase verbosity', default=False, action='store_true')
     parser.epilog = __doc__
     return parser.parse_args()
-# TODO: adapt to work with CCFv3 images if needed -
[docs] @print_func_name_args_times() -def mirror(img, axis=0, shift=2): +def mirror(img, axis=2, shift=0): """Mirror an image along the specified axis and shift the content by the specified number of voxels. Args: @@ -402,13 +401,20 @@

Source code for unravel.voxel_stats.mirror

     # Flip the image data along the specified axis
     flipped_img = np.flip(img, axis=axis)
 
-    # Shift the image data by padding with zeros on the left and cropping on the right
-    # This adds 2 voxels of zeros on the left side (beginning) and removes 2 voxels from the right side (end)
-    mirrored_img = np.pad(flipped_img, ((shift, 0), (0, 0), (0, 0)), mode='constant', constant_values=0)[:-shift, :, :]
-
-    return mirrored_img
+ if shift == 0: + return flipped_img + else: + # Shift the image data by padding with zeros on the left and cropping on the right + # This adds 2 voxels of zeros on the left side (beginning) and removes 2 voxels from the right side (end) + if axis == 0: + mirrored_img = np.pad(flipped_img, ((shift, 0), (0, 0), (0, 0)), mode='constant', constant_values=0)[:-shift, :, :] + return mirrored_img + else: + print('[red1]Logic for shifting content in axeses other than 0 has not been added. Please request this if needed.') + return
+
[docs] @log_command diff --git a/unravel/docs/_build/html/_modules/unravel/voxel_stats/whole_to_LR_avg.html b/unravel/docs/_build/html/_modules/unravel/voxel_stats/whole_to_LR_avg.html index c901d40d..2a38a6fb 100644 --- a/unravel/docs/_build/html/_modules/unravel/voxel_stats/whole_to_LR_avg.html +++ b/unravel/docs/_build/html/_modules/unravel/voxel_stats/whole_to_LR_avg.html @@ -391,9 +391,9 @@

Source code for unravel.voxel_stats.whole_to_LR_avg

def parse_args(): parser = argparse.ArgumentParser(formatter_class=SuppressMetavar) parser.add_argument('-p', '--pattern', help='Pattern to match atlas space input images in the working dir. Default: *.nii.gz', default='*.nii.gz', action=SM) - parser.add_argument('-k', '--kernel', help='Smoothing kernel radius in mm if > 0. Default: 0 ', default=0, type=float, action=SM) - parser.add_argument('-ax', '--axis', help='Axis to flip the image along. Default: 0', default=0, type=int, action=SM) - parser.add_argument('-s', '--shift', help='Number of voxels to shift content after flipping. Default: 2', default=2, type=int, action=SM) + parser.add_argument('-k', '--kernel', help='Smoothing kernel radius in mm if > 0. Default: 0', default=0, type=float, action=SM) + parser.add_argument('-ax', '--axis', help='Axis to flip the image along. Default: 2', default=2, type=int, action=SM) + parser.add_argument('-s', '--shift', help='Number of voxels to shift content after flipping (if atlas is asym.). Default: 0', default=0, type=int, action=SM) parser.add_argument('-tp', '--parallel', help='Enable parallel processing with thread pools', default=False, action='store_true') parser.add_argument('-amas', '--atlas_mask', help='path/atlas_mask.nii.gz', default=None, action=SM) parser.add_argument('-v', '--verbose', help='Increase verbosity', default=False, action='store_true') diff --git a/unravel/docs/_build/html/searchindex.js b/unravel/docs/_build/html/searchindex.js index fdaa78cd..2befacd7 100644 --- a/unravel/docs/_build/html/searchindex.js +++ b/unravel/docs/_build/html/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"3 letter orientation code": [[0, null]], "Add images to sample?? dirs": [[0, "add-images-to-sample-dirs"]], "Additional contributions from": [[1, "additional-contributions-from"]], "All commands": [[0, null]], "Allen brain atlas coloring": [[0, null]], "Analysis steps": [[0, "analysis-steps"]], "Automatic logging of scripts": [[0, null]], "Back up raw data": [[0, "back-up-raw-data"]], "Background subtraction": [[0, null]], "Batch stitching settings": [[0, null]], "CLI usage:": [[98, "cli-usage"]], "Checking changes between versions": [[2, null]], "Cluster correction": [[0, "cluster-correction"]], "Cluster validation": [[0, "cluster-validation"]], "Common commands": [[0, "common-commands"]], "Contact us": [[1, "contact-us"]], "Contents:": [[1, null]], "Data can be distributed across multiple drives": [[0, null]], "Define common variables in a shell script": [[0, "define-common-variables-in-a-shell-script"]], "Developers": [[1, "developers"]], "Edit .bashrc or .zshrc to set up dependencies": [[2, "edit-bashrc-or-zshrc-to-set-up-dependencies"]], "Example experiment folder structure after analysis": [[0, "example-experiment-folder-structure-after-analysis"]], "Example sample?? folder structure after analysis": [[0, "example-sample-folder-structure-after-analysis"]], "Get started with analysis": [[2, "get-started-with-analysis"]], "Getting started": [[1, "getting-started"]], "Guide": [[0, "guide"]], "Help on commands": [[0, "help-on-commands"]], "Helper Functions:": [[28, "helper-functions"]], "If sample orientations vary": [[0, null]], "Indices": [[1, "indices"]], "Installation": [[2, "installation"]], "Installing UNRAVEL on Linux or WSL": [[2, "installing-unravel-on-linux-or-wsl"]], "Listing commands": [[0, "listing-commands"]], "Log exp paths, commands, etc.": [[0, "log-exp-paths-commands-etc"]], "Main Functions:": [[28, "main-functions"]], "Main dependencies": [[1, "main-dependencies"]], "Make a sample_key.csv:": [[0, "make-a-sample-key-csv"]], "Make an exp_notes.txt": [[0, null]], "Make sample folders": [[0, "make-sample-folders"]], "Module contents": [[76, "module-contents"]], "More info on commands": [[0, null]], "Name sample folders like sample01, sample02, \u2026": [[0, null]], "Note x/y and z voxel sizes": [[0, "note-x-y-and-z-voxel-sizes"]], "Open source options for stitching": [[0, null]], "Optional: clean tifs": [[0, "optional-clean-tifs"]], "Optional: editable installation of UNRAVEL": [[2, "optional-editable-installation-of-unravel"]], "Overview and steps for voxel-wise stats": [[0, null]], "Please note the version of UNRAVEL you are using for reproducibility.": [[2, null]], "Python usage:": [[66, "python-usage"], [98, "python-usage"]], "Region-wise stats": [[0, "region-wise-stats"]], "Registration": [[0, "registration"]], "Running batch stitching": [[0, null]], "Segmentation": [[0, "segmentation"]], "Set up": [[0, "set-up"]], "Setting Up Windows Subsystem for Linux (WSL)": [[2, "setting-up-windows-subsystem-for-linux-wsl"]], "Sorting by hierarchy and volume:": [[23, "sorting-by-hierarchy-and-volume"]], "Stitch z-stacks": [[0, "stitch-z-stacks"]], "Subpackages": [[76, "subpackages"]], "Support is welcome for": [[1, "support-is-welcome-for"]], "Syntax": [[0, null]], "T-test usage:": [[20, "t-test-usage"]], "TL;DR": [[2, "tl-dr"]], "Todo": [[0, "id1"], [0, "id2"], [0, "id5"], [2, "id1"]], "Train an Ilastik project": [[0, "train-an-ilastik-project"], [0, null]], "Tukey\u2019s test usage:": [[20, "tukey-s-test-usage"]], "Typical workflow": [[0, "typical-workflow"]], "UN-biased high-Resolution Analysis and Validation of Ensembles using Light sheet images": [[1, "un-biased-high-resolution-analysis-and-validation-of-ensembles-using-light-sheet-images"]], "UNRAVEL visualizer": [[1, "unravel-visualizer"]], "Updating UNRAVEL": [[2, "updating-unravel"]], "Usage": [[3, "usage"], [6, "usage"], [7, "usage"], [9, "usage"], [11, "usage"], [12, "usage"], [13, "usage"], [14, "usage"], [15, "usage"], [17, "usage"], [18, "usage"], [19, "usage"], [62, "usage"]], "Usage for Tukey\u2019s tests w/ reordering and renaming of conditions:": [[63, "usage-for-tukey-s-tests-w-reordering-and-renaming-of-conditions"]], "Usage for activating sample?? dirs for certain conditions:": [[84, "usage-for-activating-sample-dirs-for-certain-conditions"]], "Usage for atlas to atlas registration:": [[67, "usage-for-atlas-to-atlas-registration"]], "Usage for forward warping atlas to tissue space:": [[100, "usage-for-forward-warping-atlas-to-tissue-space"]], "Usage for inverse warping tissue to atlas space:": [[100, "usage-for-inverse-warping-tissue-to-atlas-space"]], "Usage for printing all non-zero intensities:": [[59, "usage-for-printing-all-non-zero-intensities"]], "Usage for printing the number of voxels for each intensity that is present:": [[59, "usage-for-printing-the-number-of-voxels-for-each-intensity-that-is-present"]], "Usage for printing unique intensities w/ a min cluster size > 100 voxels:": [[59, "usage-for-printing-unique-intensities-w-a-min-cluster-size-100-voxels"]], "Usage for renaming directories:": [[82, "usage-for-renaming-directories"]], "Usage for renaming files:": [[82, "usage-for-renaming-files"]], "Usage for t-tests:": [[63, "usage-for-t-tests"]], "Usage for template to template registration:": [[67, "usage-for-template-to-template-registration"]], "Usage for tissue registration:": [[67, "usage-for-tissue-registration"]], "Usage for toggling all sample?? dirs to active:": [[84, "usage-for-toggling-all-sample-dirs-to-active"]], "Usage for when metadata is extractable:": [[36, "usage-for-when-metadata-is-extractable"]], "Usage for when metadata is not extractable:": [[36, "usage-for-when-metadata-is-not-extractable"]], "Usage for when sample?? is already in the name of files being copied:": [[78, "usage-for-when-sample-is-already-in-the-name-of-files-being-copied"]], "Usage for z-score scaling (if 8 bit is needed):": [[35, "usage-for-z-score-scaling-if-8-bit-is-needed"]], "Usage if running after cluster_validation and cluster_org_data:": [[4, "usage-if-running-after-cluster-validation-and-cluster-org-data"]], "Usage if running directly after cluster_validation:": [[4, "usage-if-running-directly-after-cluster-validation"]], "Usage if the atlas is already in native space from warp_to_native:": [[60, "usage-if-the-atlas-is-already-in-native-space-from-warp-to-native"]], "Usage if the native atlas is not available; it is not saved (faster):": [[60, "usage-if-the-native-atlas-is-not-available-it-is-not-saved-faster"]], "Usage to prep for seg_brain_mask:": [[73, "usage-to-prep-for-seg-brain-mask"]], "Usage to prep for seg_ilastik to segment full resolution immunofluorescence images:": [[73, "usage-to-prep-for-seg-ilastik-to-segment-full-resolution-immunofluorescence-images"]], "Usage to prepend sample?? to the name of files being copied:": [[78, "usage-to-prepend-sample-to-the-name-of-files-being-copied"]], "Usage to print all commands and module names:": [[77, "usage-to-print-all-commands-and-module-names"]], "Usage to print common commands and descriptions:": [[77, "usage-to-print-common-commands-and-descriptions"]], "Usage to replace voxels in image with the mean intensity in the brain where mask > 0:": [[85, "usage-to-replace-voxels-in-image-with-the-mean-intensity-in-the-brain-where-mask-0"]], "Usage to zero out voxels in image where mask < 1 (e.g., to preserve signal from segmented microglia clusters):": [[85, "usage-to-zero-out-voxels-in-image-where-mask-1-e-g-to-preserve-signal-from-segmented-microglia-clusters"]], "Usage to zero out voxels in image where mask > 0 (e.g., to exclude voxels representing artifacts):": [[85, "usage-to-zero-out-voxels-in-image-where-mask-0-e-g-to-exclude-voxels-representing-artifacts"]], "Usage w/ a tissue mask (warped to atlas space):": [[95, "usage-w-a-tissue-mask-warped-to-atlas-space"]], "Usage w/ additional options:": [[92, "usage-w-additional-options"]], "Usage w/ an atlas mask (warped to atlas space):": [[95, "usage-w-an-atlas-mask-warped-to-atlas-space"]], "Usage w/ both masks for side-specific z-scoring:": [[95, "usage-w-both-masks-for-side-specific-z-scoring"]], "Usage with a custom atlas:": [[63, "usage-with-a-custom-atlas"]], "Usage:": [[5, "usage"], [16, "usage"], [21, "usage"], [22, "usage"], [23, "usage"], [32, "usage"], [33, "usage"], [34, "usage"], [35, "usage"], [37, "usage"], [38, "usage"], [39, "usage"], [40, "usage"], [41, "usage"], [42, "usage"], [44, "usage"], [45, "usage"], [46, "usage"], [48, "usage"], [49, "usage"], [50, "usage"], [52, "usage"], [53, "usage"], [54, "usage"], [55, "usage"], [56, "usage"], [58, "usage"], [61, "usage"], [64, "usage"], [66, "usage"], [68, "usage"], [69, "usage"], [70, "usage"], [72, "usage"], [74, "usage"], [79, "usage"], [80, "usage"], [81, "usage"], [86, "usage"], [87, "usage"], [88, "usage"], [89, "usage"], [92, "usage"], [93, "usage"], [94, "usage"], [96, "usage"], [97, "usage"]], "Voxel-wise stats": [[0, "voxel-wise-stats"]], "cluster_fdr": [[0, "cluster-fdr"]], "cluster_fdr_range": [[0, "cluster-fdr-range"]], "cluster_mirror_indices": [[0, "cluster-mirror-indices"]], "cluster_summary": [[0, "cluster-summary"]], "cluster_validation": [[0, "id4"]], "env_var.sh": [[0, null]], "img_avg": [[0, "img-avg"]], "reg": [[0, "reg"]], "reg_check": [[0, "reg-check"]], "reg_prep": [[0, "reg-prep"]], "rstats": [[0, "rstats"]], "rstats_summary": [[0, "rstats-summary"]], "seg_brain_mask": [[0, "seg-brain-mask"]], "seg_copy_tifs": [[0, "seg-copy-tifs"], [0, "id3"]], "seg_ilastik": [[0, "seg-ilastik"]], "unravel package": [[76, "unravel-package"]], "unravel.cluster_stats package": [[24, "unravel-cluster-stats-package"]], "unravel.cluster_stats.brain_model module": [[3, "module-unravel.cluster_stats.brain_model"]], "unravel.cluster_stats.cluster_summary module": [[4, "module-unravel.cluster_stats.cluster_summary"]], "unravel.cluster_stats.cluster_validation module": [[5, "module-unravel.cluster_stats.cluster_validation"]], "unravel.cluster_stats.crop module": [[6, "module-unravel.cluster_stats.crop"]], "unravel.cluster_stats.effect_sizes package": [[10, "unravel-cluster-stats-effect-sizes-package"]], "unravel.cluster_stats.effect_sizes.effect_sizes module": [[7, "module-unravel.cluster_stats.effect_sizes.effect_sizes"]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute module": [[8, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute"]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative module": [[9, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative"]], "unravel.cluster_stats.fdr module": [[11, "module-unravel.cluster_stats.fdr"]], "unravel.cluster_stats.fdr_range module": [[12, "module-unravel.cluster_stats.fdr_range"]], "unravel.cluster_stats.find_incongruent_clusters module": [[13, "module-unravel.cluster_stats.find_incongruent_clusters"]], "unravel.cluster_stats.group_bilateral_data module": [[14, "module-unravel.cluster_stats.group_bilateral_data"]], "unravel.cluster_stats.index module": [[15, "module-unravel.cluster_stats.index"]], "unravel.cluster_stats.legend module": [[16, "module-unravel.cluster_stats.legend"]], "unravel.cluster_stats.org_data module": [[17, "module-unravel.cluster_stats.org_data"]], "unravel.cluster_stats.prism module": [[18, "module-unravel.cluster_stats.prism"]], "unravel.cluster_stats.recursively_mirror_rev_cluster_indices module": [[19, "module-unravel.cluster_stats.recursively_mirror_rev_cluster_indices"]], "unravel.cluster_stats.stats module": [[20, "module-unravel.cluster_stats.stats"]], "unravel.cluster_stats.stats_table module": [[21, "module-unravel.cluster_stats.stats_table"]], "unravel.cluster_stats.sunburst module": [[22, "module-unravel.cluster_stats.sunburst"]], "unravel.cluster_stats.table module": [[23, "module-unravel.cluster_stats.table"]], "unravel.core package": [[30, "unravel-core-package"]], "unravel.core.argparse_utils module": [[25, "module-unravel.core.argparse_utils"]], "unravel.core.argparse_utils_rich module": [[26, "module-unravel.core.argparse_utils_rich"]], "unravel.core.config module": [[27, "module-unravel.core.config"]], "unravel.core.img_io module": [[28, "module-unravel.core.img_io"]], "unravel.core.img_tools module": [[29, "module-unravel.core.img_tools"]], "unravel.core.utils module": [[31, "module-unravel.core.utils"]], "unravel.image_io package": [[43, "unravel-image-io-package"]], "unravel.image_io.h5_to_tifs module": [[32, "module-unravel.image_io.h5_to_tifs"]], "unravel.image_io.img_to_npy module": [[33, "module-unravel.image_io.img_to_npy"]], "unravel.image_io.io_img module": [[34, "module-unravel.image_io.io_img"]], "unravel.image_io.io_nii module": [[35, "module-unravel.image_io.io_nii"]], "unravel.image_io.metadata module": [[36, "module-unravel.image_io.metadata"]], "unravel.image_io.nii_hd module": [[37, "module-unravel.image_io.nii_hd"]], "unravel.image_io.nii_info module": [[38, "module-unravel.image_io.nii_info"]], "unravel.image_io.nii_to_tifs module": [[39, "module-unravel.image_io.nii_to_tifs"]], "unravel.image_io.nii_to_zarr module": [[40, "module-unravel.image_io.nii_to_zarr"]], "unravel.image_io.reorient_nii module": [[41, "module-unravel.image_io.reorient_nii"]], "unravel.image_io.tif_to_tifs module": [[42, "module-unravel.image_io.tif_to_tifs"]], "unravel.image_io.zarr_to_nii module": [[44, "module-unravel.image_io.zarr_to_nii"]], "unravel.image_tools package": [[57, "unravel-image-tools-package"]], "unravel.image_tools.DoG module": [[45, "module-unravel.image_tools.DoG"]], "unravel.image_tools.atlas package": [[47, "unravel-image-tools-atlas-package"]], "unravel.image_tools.atlas.relabel_nii module": [[46, "module-unravel.image_tools.atlas.relabel_nii"]], "unravel.image_tools.atlas.wireframe module": [[48, "module-unravel.image_tools.atlas.wireframe"]], "unravel.image_tools.avg module": [[49, "module-unravel.image_tools.avg"]], "unravel.image_tools.bbox module": [[50, "module-unravel.image_tools.bbox"]], "unravel.image_tools.extend module": [[51, "module-unravel.image_tools.extend"]], "unravel.image_tools.max module": [[52, "module-unravel.image_tools.max"]], "unravel.image_tools.pad module": [[53, "module-unravel.image_tools.pad"]], "unravel.image_tools.rb module": [[54, "module-unravel.image_tools.rb"]], "unravel.image_tools.resample module": [[55, "module-unravel.image_tools.resample"]], "unravel.image_tools.spatial_averaging module": [[56, "module-unravel.image_tools.spatial_averaging"]], "unravel.image_tools.transpose_axes module": [[58, "module-unravel.image_tools.transpose_axes"]], "unravel.image_tools.unique_intensities module": [[59, "module-unravel.image_tools.unique_intensities"]], "unravel.region_stats package": [[65, "unravel-region-stats-package"]], "unravel.region_stats.rstats module": [[60, "module-unravel.region_stats.rstats"]], "unravel.region_stats.rstats_mean_IF module": [[61, "module-unravel.region_stats.rstats_mean_IF"]], "unravel.region_stats.rstats_mean_IF_in_segmented_voxels module": [[62, "module-unravel.region_stats.rstats_mean_IF_in_segmented_voxels"]], "unravel.region_stats.rstats_mean_IF_summary module": [[63, "module-unravel.region_stats.rstats_mean_IF_summary"]], "unravel.region_stats.rstats_summary module": [[64, "module-unravel.region_stats.rstats_summary"]], "unravel.register package": [[71, "unravel-register-package"]], "unravel.register.affine_initializer module": [[66, "module-unravel.register.affine_initializer"]], "unravel.register.reg module": [[67, "module-unravel.register.reg"]], "unravel.register.reg_check module": [[68, "module-unravel.register.reg_check"]], "unravel.register.reg_check_brain_mask module": [[69, "module-unravel.register.reg_check_brain_mask"]], "unravel.register.reg_prep module": [[70, "module-unravel.register.reg_prep"]], "unravel.segment package": [[75, "unravel-segment-package"]], "unravel.segment.brain_mask module": [[72, "module-unravel.segment.brain_mask"]], "unravel.segment.copy_tifs module": [[73, "module-unravel.segment.copy_tifs"]], "unravel.segment.ilastik_pixel_classification module": [[74, "module-unravel.segment.ilastik_pixel_classification"]], "unravel.unravel_commands module": [[77, "module-unravel.unravel_commands"]], "unravel.utilities package": [[83, "unravel-utilities-package"]], "unravel.utilities.aggregate_files_from_sample_dirs module": [[78, "module-unravel.utilities.aggregate_files_from_sample_dirs"]], "unravel.utilities.aggregate_files_recursively module": [[79, "module-unravel.utilities.aggregate_files_recursively"]], "unravel.utilities.clean_tif_dirs module": [[80, "module-unravel.utilities.clean_tif_dirs"]], "unravel.utilities.prepend_conditions module": [[81, "module-unravel.utilities.prepend_conditions"]], "unravel.utilities.rename module": [[82, "module-unravel.utilities.rename"]], "unravel.utilities.toggle_samples module": [[84, "module-unravel.utilities.toggle_samples"]], "unravel.voxel_stats package": [[91, "unravel-voxel-stats-package"]], "unravel.voxel_stats.apply_mask module": [[85, "module-unravel.voxel_stats.apply_mask"]], "unravel.voxel_stats.hemi_to_LR_avg module": [[86, "module-unravel.voxel_stats.hemi_to_LR_avg"]], "unravel.voxel_stats.mirror module": [[87, "module-unravel.voxel_stats.mirror"]], "unravel.voxel_stats.other package": [[90, "unravel-voxel-stats-other-package"]], "unravel.voxel_stats.other.IF_outliers module": [[88, "module-unravel.voxel_stats.other.IF_outliers"]], "unravel.voxel_stats.other.r_to_p module": [[89, "module-unravel.voxel_stats.other.r_to_p"]], "unravel.voxel_stats.vstats module": [[92, "module-unravel.voxel_stats.vstats"]], "unravel.voxel_stats.vstats_prep module": [[93, "module-unravel.voxel_stats.vstats_prep"]], "unravel.voxel_stats.whole_to_LR_avg module": [[94, "module-unravel.voxel_stats.whole_to_LR_avg"]], "unravel.voxel_stats.z_score module": [[95, "module-unravel.voxel_stats.z_score"]], "unravel.warp package": [[99, "unravel-warp-package"]], "unravel.warp.to_atlas module": [[96, "module-unravel.warp.to_atlas"]], "unravel.warp.to_fixed module": [[97, "module-unravel.warp.to_fixed"]], "unravel.warp.to_native module": [[98, "module-unravel.warp.to_native"]], "unravel.warp.warp module": [[100, "module-unravel.warp.warp"]], "utils_agg_files": [[0, "utils-agg-files"]], "utils_clean_tifs": [[0, null]], "utils_prepend": [[0, "utils-prepend"]], "vstats": [[0, "vstats"]], "vstats_prep": [[0, "vstats-prep"]], "vstats_whole_to_avg": [[0, "vstats-whole-to-avg"]], "vstats_z_score": [[0, "vstats-z-score"]]}, "docnames": ["guide", "index", "installation", "unravel/cluster_stats/brain_model", "unravel/cluster_stats/cluster_summary", "unravel/cluster_stats/cluster_validation", "unravel/cluster_stats/crop", "unravel/cluster_stats/effect_sizes/effect_sizes", "unravel/cluster_stats/effect_sizes/effect_sizes_by_sex__absolute", "unravel/cluster_stats/effect_sizes/effect_sizes_by_sex__relative", "unravel/cluster_stats/effect_sizes/toc", "unravel/cluster_stats/fdr", "unravel/cluster_stats/fdr_range", "unravel/cluster_stats/find_incongruent_clusters", "unravel/cluster_stats/group_bilateral_data", "unravel/cluster_stats/index", "unravel/cluster_stats/legend", "unravel/cluster_stats/org_data", "unravel/cluster_stats/prism", "unravel/cluster_stats/recursively_mirror_rev_cluster_indices", "unravel/cluster_stats/stats", "unravel/cluster_stats/stats_table", "unravel/cluster_stats/sunburst", "unravel/cluster_stats/table", "unravel/cluster_stats/toc", "unravel/core/argparse_utils", "unravel/core/argparse_utils_rich", "unravel/core/config", "unravel/core/img_io", "unravel/core/img_tools", "unravel/core/toc", "unravel/core/utils", "unravel/image_io/h5_to_tifs", "unravel/image_io/img_to_npy", "unravel/image_io/io_img", "unravel/image_io/io_nii", "unravel/image_io/metadata", "unravel/image_io/nii_hd", "unravel/image_io/nii_info", "unravel/image_io/nii_to_tifs", "unravel/image_io/nii_to_zarr", "unravel/image_io/reorient_nii", "unravel/image_io/tif_to_tifs", "unravel/image_io/toc", "unravel/image_io/zarr_to_nii", "unravel/image_tools/DoG", "unravel/image_tools/atlas/relabel_nii", "unravel/image_tools/atlas/toc", "unravel/image_tools/atlas/wireframe", "unravel/image_tools/avg", "unravel/image_tools/bbox", "unravel/image_tools/extend", "unravel/image_tools/max", "unravel/image_tools/pad", "unravel/image_tools/rb", "unravel/image_tools/resample", "unravel/image_tools/spatial_averaging", "unravel/image_tools/toc", "unravel/image_tools/transpose_axes", "unravel/image_tools/unique_intensities", "unravel/region_stats/rstats", "unravel/region_stats/rstats_mean_IF", "unravel/region_stats/rstats_mean_IF_in_segmented_voxels", "unravel/region_stats/rstats_mean_IF_summary", "unravel/region_stats/rstats_summary", "unravel/region_stats/toc", "unravel/register/affine_initializer", "unravel/register/reg", "unravel/register/reg_check", "unravel/register/reg_check_brain_mask", "unravel/register/reg_prep", "unravel/register/toc", "unravel/segment/brain_mask", "unravel/segment/copy_tifs", "unravel/segment/ilastik_pixel_classification", "unravel/segment/toc", "unravel/toc", "unravel/unravel_commands", "unravel/utilities/aggregate_files_from_sample_dirs", "unravel/utilities/aggregate_files_recursively", "unravel/utilities/clean_tif_dirs", "unravel/utilities/prepend_conditions", "unravel/utilities/rename", "unravel/utilities/toc", "unravel/utilities/toggle_samples", "unravel/voxel_stats/apply_mask", "unravel/voxel_stats/hemi_to_LR_avg", "unravel/voxel_stats/mirror", "unravel/voxel_stats/other/IF_outliers", "unravel/voxel_stats/other/r_to_p", "unravel/voxel_stats/other/toc", "unravel/voxel_stats/toc", "unravel/voxel_stats/vstats", "unravel/voxel_stats/vstats_prep", "unravel/voxel_stats/whole_to_LR_avg", "unravel/voxel_stats/z_score", "unravel/warp/to_atlas", "unravel/warp/to_fixed", "unravel/warp/to_native", "unravel/warp/toc", "unravel/warp/warp"], "envversion": {"sphinx": 61, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1}, "filenames": ["guide.md", "index.rst", "installation.md", "unravel/cluster_stats/brain_model.rst", "unravel/cluster_stats/cluster_summary.rst", "unravel/cluster_stats/cluster_validation.rst", "unravel/cluster_stats/crop.rst", "unravel/cluster_stats/effect_sizes/effect_sizes.rst", "unravel/cluster_stats/effect_sizes/effect_sizes_by_sex__absolute.rst", "unravel/cluster_stats/effect_sizes/effect_sizes_by_sex__relative.rst", "unravel/cluster_stats/effect_sizes/toc.rst", "unravel/cluster_stats/fdr.rst", "unravel/cluster_stats/fdr_range.rst", "unravel/cluster_stats/find_incongruent_clusters.rst", "unravel/cluster_stats/group_bilateral_data.rst", "unravel/cluster_stats/index.rst", "unravel/cluster_stats/legend.rst", "unravel/cluster_stats/org_data.rst", "unravel/cluster_stats/prism.rst", "unravel/cluster_stats/recursively_mirror_rev_cluster_indices.rst", "unravel/cluster_stats/stats.rst", "unravel/cluster_stats/stats_table.rst", "unravel/cluster_stats/sunburst.rst", "unravel/cluster_stats/table.rst", "unravel/cluster_stats/toc.rst", "unravel/core/argparse_utils.rst", "unravel/core/argparse_utils_rich.rst", "unravel/core/config.rst", "unravel/core/img_io.rst", "unravel/core/img_tools.rst", "unravel/core/toc.rst", "unravel/core/utils.rst", "unravel/image_io/h5_to_tifs.rst", "unravel/image_io/img_to_npy.rst", "unravel/image_io/io_img.rst", "unravel/image_io/io_nii.rst", "unravel/image_io/metadata.rst", "unravel/image_io/nii_hd.rst", "unravel/image_io/nii_info.rst", "unravel/image_io/nii_to_tifs.rst", "unravel/image_io/nii_to_zarr.rst", "unravel/image_io/reorient_nii.rst", "unravel/image_io/tif_to_tifs.rst", "unravel/image_io/toc.rst", "unravel/image_io/zarr_to_nii.rst", "unravel/image_tools/DoG.rst", "unravel/image_tools/atlas/relabel_nii.rst", "unravel/image_tools/atlas/toc.rst", "unravel/image_tools/atlas/wireframe.rst", "unravel/image_tools/avg.rst", "unravel/image_tools/bbox.rst", "unravel/image_tools/extend.rst", "unravel/image_tools/max.rst", "unravel/image_tools/pad.rst", "unravel/image_tools/rb.rst", "unravel/image_tools/resample.rst", "unravel/image_tools/spatial_averaging.rst", "unravel/image_tools/toc.rst", "unravel/image_tools/transpose_axes.rst", "unravel/image_tools/unique_intensities.rst", "unravel/region_stats/rstats.rst", "unravel/region_stats/rstats_mean_IF.rst", "unravel/region_stats/rstats_mean_IF_in_segmented_voxels.rst", "unravel/region_stats/rstats_mean_IF_summary.rst", "unravel/region_stats/rstats_summary.rst", "unravel/region_stats/toc.rst", "unravel/register/affine_initializer.rst", "unravel/register/reg.rst", "unravel/register/reg_check.rst", "unravel/register/reg_check_brain_mask.rst", "unravel/register/reg_prep.rst", "unravel/register/toc.rst", "unravel/segment/brain_mask.rst", "unravel/segment/copy_tifs.rst", "unravel/segment/ilastik_pixel_classification.rst", "unravel/segment/toc.rst", "unravel/toc.rst", "unravel/unravel_commands.rst", "unravel/utilities/aggregate_files_from_sample_dirs.rst", "unravel/utilities/aggregate_files_recursively.rst", "unravel/utilities/clean_tif_dirs.rst", "unravel/utilities/prepend_conditions.rst", "unravel/utilities/rename.rst", "unravel/utilities/toc.rst", "unravel/utilities/toggle_samples.rst", "unravel/voxel_stats/apply_mask.rst", "unravel/voxel_stats/hemi_to_LR_avg.rst", "unravel/voxel_stats/mirror.rst", "unravel/voxel_stats/other/IF_outliers.rst", "unravel/voxel_stats/other/r_to_p.rst", "unravel/voxel_stats/other/toc.rst", "unravel/voxel_stats/toc.rst", "unravel/voxel_stats/vstats.rst", "unravel/voxel_stats/vstats_prep.rst", "unravel/voxel_stats/whole_to_LR_avg.rst", "unravel/voxel_stats/z_score.rst", "unravel/warp/to_atlas.rst", "unravel/warp/to_fixed.rst", "unravel/warp/to_native.rst", "unravel/warp/toc.rst", "unravel/warp/warp.rst"], "indexentries": {"affine_initializer_wrapper() (in module unravel.register.affine_initializer)": [[66, "unravel.register.affine_initializer.affine_initializer_wrapper", false]], "aggregate_files_from_sample_dirs() (in module unravel.utilities.aggregate_files_from_sample_dirs)": [[78, "unravel.utilities.aggregate_files_from_sample_dirs.aggregate_files_from_sample_dirs", false]], "apply_2d_mean_filter() (in module unravel.image_tools.spatial_averaging)": [[56, "unravel.image_tools.spatial_averaging.apply_2D_mean_filter", false]], "apply_mask_to_ndarray() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.apply_mask_to_ndarray", false]], "apply_rgb_to_cell() (in module unravel.cluster_stats.legend)": [[16, "unravel.cluster_stats.legend.apply_rgb_to_cell", false]], "attrdict (class in unravel.core.config)": [[27, "unravel.core.config.AttrDict", false]], "averagetimeperiterationcolumn (class in unravel.core.utils)": [[31, "unravel.core.utils.AverageTimePerIterationColumn", false]], "bias_correction() (in module unravel.register.reg)": [[67, "unravel.register.reg.bias_correction", false]], "calculate_fragments() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.calculate_fragments", false]], "calculate_mean_intensity() (in module unravel.region_stats.rstats_mean_if)": [[61, "unravel.region_stats.rstats_mean_IF.calculate_mean_intensity", false]], "calculate_mean_intensity() (in module unravel.region_stats.rstats_mean_if_in_segmented_voxels)": [[62, "unravel.region_stats.rstats_mean_IF_in_segmented_voxels.calculate_mean_intensity", false]], "calculate_padded_dimensions() (in module unravel.warp.to_fixed)": [[97, "unravel.warp.to_fixed.calculate_padded_dimensions", false]], "calculate_regional_cell_densities() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.calculate_regional_cell_densities", false]], "calculate_regional_volumes() (in module unravel.cluster_stats.sunburst)": [[22, "unravel.cluster_stats.sunburst.calculate_regional_volumes", false]], "calculate_regional_volumes() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.calculate_regional_volumes", false]], "calculate_resampled_padded_dimensions() (in module unravel.warp.to_native)": [[98, "unravel.warp.to_native.calculate_resampled_padded_dimensions", false]], "calculate_top_regions() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.calculate_top_regions", false]], "can_collapse() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.can_collapse", false]], "check_fdr_command() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.check_fdr_command", false]], "clean_tifs_dir() (in module unravel.utilities.clean_tif_dirs)": [[80, "unravel.utilities.clean_tif_dirs.clean_tifs_dir", false]], "cluster_bbox() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.cluster_bbox", false]], "cluster_bbox_parallel() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.cluster_bbox_parallel", false]], "cluster_ids() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.cluster_IDs", false]], "cluster_index() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.cluster_index", false]], "cluster_summary() (in module unravel.cluster_stats.stats_table)": [[21, "unravel.cluster_stats.stats_table.cluster_summary", false]], "cluster_validation_data_df() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.cluster_validation_data_df", false]], "collapse_hierarchy() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.collapse_hierarchy", false]], "condition_selector() (in module unravel.cluster_stats.effect_sizes.effect_sizes)": [[7, "unravel.cluster_stats.effect_sizes.effect_sizes.condition_selector", false]], "condition_selector() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute)": [[8, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute.condition_selector", false]], "condition_selector() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.condition_selector", false]], "condition_selector() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.condition_selector", false]], "config (class in unravel.core.config)": [[27, "unravel.core.config.Config", false]], "configuration (class in unravel.core.config)": [[27, "unravel.core.config.Configuration", false]], "convert_dtype() (in module unravel.image_io.io_nii)": [[35, "unravel.image_io.io_nii.convert_dtype", false]], "copy_files() (in module unravel.core.utils)": [[31, "unravel.core.utils.copy_files", false]], "copy_nii_header() (in module unravel.warp.to_atlas)": [[96, "unravel.warp.to_atlas.copy_nii_header", false]], "copy_specific_slices() (in module unravel.segment.copy_tifs)": [[73, "unravel.segment.copy_tifs.copy_specific_slices", false]], "copy_stats_files() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.copy_stats_files", false]], "count_cells() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.count_cells", false]], "count_cells_in_regions() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.count_cells_in_regions", false]], "count_files() (in module unravel.segment.ilastik_pixel_classification)": [[74, "unravel.segment.ilastik_pixel_classification.count_files", false]], "cp() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.cp", false]], "create_design_ttest2() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.create_design_ttest2", false]], "crop() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.crop", false]], "crop_outer_space() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.crop_outer_space", false]], "custommofncompletecolumn (class in unravel.core.utils)": [[31, "unravel.core.utils.CustomMofNCompleteColumn", false]], "customtimeelapsedcolumn (class in unravel.core.utils)": [[31, "unravel.core.utils.CustomTimeElapsedColumn", false]], "customtimeremainingcolumn (class in unravel.core.utils)": [[31, "unravel.core.utils.CustomTimeRemainingColumn", false]], "define_zarr_to_nii_output() (in module unravel.image_io.zarr_to_nii)": [[44, "unravel.image_io.zarr_to_nii.define_zarr_to_nii_output", false]], "density_in_cluster() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.density_in_cluster", false]], "density_in_cluster_parallel() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.density_in_cluster_parallel", false]], "detect_outliers() (in module unravel.voxel_stats.other.if_outliers)": [[88, "unravel.voxel_stats.other.IF_outliers.detect_outliers", false]], "difference_of_gaussians() (in module unravel.image_tools.dog)": [[45, "unravel.image_tools.DoG.difference_of_gaussians", false]], "dilate_mask() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.dilate_mask", false]], "extend_one_side_3d_array() (in module unravel.image_tools.extend)": [[51, "unravel.image_tools.extend.extend_one_side_3d_array", false]], "extract_resolution() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.extract_resolution", false]], "extract_unique_regions_from_file() (in module unravel.cluster_stats.legend)": [[16, "unravel.cluster_stats.legend.extract_unique_regions_from_file", false]], "fdr() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.fdr", false]], "fdr_range() (in module unravel.cluster_stats.fdr_range)": [[12, "unravel.cluster_stats.fdr_range.fdr_range", false]], "fill_na_with_last_known() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.fill_na_with_last_known", false]], "filter_dataframe() (in module unravel.cluster_stats.effect_sizes.effect_sizes)": [[7, "unravel.cluster_stats.effect_sizes.effect_sizes.filter_dataframe", false]], "filter_dataframe() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute)": [[8, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute.filter_dataframe", false]], "filter_dataframe() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.filter_dataframe", false]], "filter_region_ids() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.filter_region_ids", false]], "find_and_copy_files() (in module unravel.utilities.aggregate_files_recursively)": [[79, "unravel.utilities.aggregate_files_recursively.find_and_copy_files", false]], "find_bounding_box() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.find_bounding_box", false]], "find_incongruent_clusters() (in module unravel.cluster_stats.find_incongruent_clusters)": [[13, "unravel.cluster_stats.find_incongruent_clusters.find_incongruent_clusters", false]], "find_largest_h5_file() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.find_largest_h5_file", false]], "find_largest_tif_file() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.find_largest_tif_file", false]], "find_matching_directory() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.find_matching_directory", false]], "find_max_intensity() (in module unravel.image_tools.max)": [[52, "unravel.image_tools.max.find_max_intensity", false]], "forward_warp() (in module unravel.warp.to_fixed)": [[97, "unravel.warp.to_fixed.forward_warp", false]], "generate_summary_table() (in module unravel.cluster_stats.prism)": [[18, "unravel.cluster_stats.prism.generate_summary_table", false]], "generate_sunburst() (in module unravel.cluster_stats.index)": [[15, "unravel.cluster_stats.index.generate_sunburst", false]], "generate_wireframe() (in module unravel.image_tools.atlas.wireframe)": [[48, "unravel.image_tools.atlas.wireframe.generate_wireframe", false]], "get_all_region_ids() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.get_all_region_ids", false]], "get_atlas_region_at_coords() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.get_atlas_region_at_coords", false]], "get_dims_from_tifs() (in module unravel.image_io.metadata)": [[36, "unravel.image_io.metadata.get_dims_from_tifs", false]], "get_dir_name_from_args() (in module unravel.core.utils)": [[31, "unravel.core.utils.get_dir_name_from_args", false]], "get_fill_color() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.get_fill_color", false]], "get_groups_info() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.get_groups_info", false]], "get_max_region_id_from_csvs() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.get_max_region_id_from_csvs", false]], "get_region_details() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.get_region_details", false]], "get_region_details() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.get_region_details", false]], "get_samples() (in module unravel.core.utils)": [[31, "unravel.core.utils.get_samples", false]], "get_top_regions_and_percent_vols() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.get_top_regions_and_percent_vols", false]], "group_hemisphere_data() (in module unravel.cluster_stats.group_bilateral_data)": [[14, "unravel.cluster_stats.group_bilateral_data.group_hemisphere_data", false]], "hedges_g() (in module unravel.cluster_stats.effect_sizes.effect_sizes)": [[7, "unravel.cluster_stats.effect_sizes.effect_sizes.hedges_g", false]], "hedges_g() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute)": [[8, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute.hedges_g", false]], "hemi_to_lr_avg() (in module unravel.voxel_stats.hemi_to_lr_avg)": [[86, "unravel.voxel_stats.hemi_to_LR_avg.hemi_to_LR_avg", false]], "initialize_progress_bar() (in module unravel.core.utils)": [[31, "unravel.core.utils.initialize_progress_bar", false]], "load_3d_img() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_3D_img", false]], "load_3d_tif() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.load_3D_tif", false]], "load_config() (in module unravel.core.utils)": [[31, "unravel.core.utils.load_config", false]], "load_czi() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_czi", false]], "load_data() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.load_data", false]], "load_h5() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_h5", false]], "load_h5() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.load_h5", false]], "load_image_metadata_from_txt() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_image_metadata_from_txt", false]], "load_mask() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.load_mask", false]], "load_nii() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_nii", false]], "load_nii_orientation() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_nii_orientation", false]], "load_nii_subset() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_nii_subset", false]], "load_text_from_file() (in module unravel.core.utils)": [[31, "unravel.core.utils.load_text_from_file", false]], "load_tif() (in module unravel.image_tools.dog)": [[45, "unravel.image_tools.DoG.load_tif", false]], "load_tif() (in module unravel.image_tools.rb)": [[54, "unravel.image_tools.rb.load_tif", false]], "load_tifs() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_tifs", false]], "load_zarr() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_zarr", false]], "log_command() (in module unravel.core.utils)": [[31, "unravel.core.utils.log_command", false]], "main() (in module unravel.cluster_stats.brain_model)": [[3, "unravel.cluster_stats.brain_model.main", false]], "main() (in module unravel.cluster_stats.cluster_summary)": [[4, "unravel.cluster_stats.cluster_summary.main", false]], "main() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.main", false]], "main() (in module unravel.cluster_stats.crop)": [[6, "unravel.cluster_stats.crop.main", false]], "main() (in module unravel.cluster_stats.effect_sizes.effect_sizes)": [[7, "unravel.cluster_stats.effect_sizes.effect_sizes.main", false]], "main() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute)": [[8, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute.main", false]], "main() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.main", false]], "main() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.main", false]], "main() (in module unravel.cluster_stats.fdr_range)": [[12, "unravel.cluster_stats.fdr_range.main", false]], "main() (in module unravel.cluster_stats.find_incongruent_clusters)": [[13, "unravel.cluster_stats.find_incongruent_clusters.main", false]], "main() (in module unravel.cluster_stats.group_bilateral_data)": [[14, "unravel.cluster_stats.group_bilateral_data.main", false]], "main() (in module unravel.cluster_stats.index)": [[15, "unravel.cluster_stats.index.main", false]], "main() (in module unravel.cluster_stats.legend)": [[16, "unravel.cluster_stats.legend.main", false]], "main() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.main", false]], "main() (in module unravel.cluster_stats.prism)": [[18, "unravel.cluster_stats.prism.main", false]], "main() (in module unravel.cluster_stats.recursively_mirror_rev_cluster_indices)": [[19, "unravel.cluster_stats.recursively_mirror_rev_cluster_indices.main", false]], "main() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.main", false]], "main() (in module unravel.cluster_stats.stats_table)": [[21, "unravel.cluster_stats.stats_table.main", false]], "main() (in module unravel.cluster_stats.sunburst)": [[22, "unravel.cluster_stats.sunburst.main", false]], "main() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.main", false]], "main() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.main", false]], "main() (in module unravel.image_io.img_to_npy)": [[33, "unravel.image_io.img_to_npy.main", false]], "main() (in module unravel.image_io.io_img)": [[34, "unravel.image_io.io_img.main", false]], "main() (in module unravel.image_io.io_nii)": [[35, "unravel.image_io.io_nii.main", false]], "main() (in module unravel.image_io.metadata)": [[36, "unravel.image_io.metadata.main", false]], "main() (in module unravel.image_io.nii_hd)": [[37, "unravel.image_io.nii_hd.main", false]], "main() (in module unravel.image_io.nii_info)": [[38, "unravel.image_io.nii_info.main", false]], "main() (in module unravel.image_io.nii_to_tifs)": [[39, "unravel.image_io.nii_to_tifs.main", false]], "main() (in module unravel.image_io.nii_to_zarr)": [[40, "unravel.image_io.nii_to_zarr.main", false]], "main() (in module unravel.image_io.reorient_nii)": [[41, "unravel.image_io.reorient_nii.main", false]], "main() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.main", false]], "main() (in module unravel.image_io.zarr_to_nii)": [[44, "unravel.image_io.zarr_to_nii.main", false]], "main() (in module unravel.image_tools.atlas.relabel_nii)": [[46, "unravel.image_tools.atlas.relabel_nii.main", false]], "main() (in module unravel.image_tools.atlas.wireframe)": [[48, "unravel.image_tools.atlas.wireframe.main", false]], "main() (in module unravel.image_tools.avg)": [[49, "unravel.image_tools.avg.main", false]], "main() (in module unravel.image_tools.bbox)": [[50, "unravel.image_tools.bbox.main", false]], "main() (in module unravel.image_tools.dog)": [[45, "unravel.image_tools.DoG.main", false]], "main() (in module unravel.image_tools.extend)": [[51, "unravel.image_tools.extend.main", false]], "main() (in module unravel.image_tools.max)": [[52, "unravel.image_tools.max.main", false]], "main() (in module unravel.image_tools.pad)": [[53, "unravel.image_tools.pad.main", false]], "main() (in module unravel.image_tools.rb)": [[54, "unravel.image_tools.rb.main", false]], "main() (in module unravel.image_tools.resample)": [[55, "unravel.image_tools.resample.main", false]], "main() (in module unravel.image_tools.spatial_averaging)": [[56, "unravel.image_tools.spatial_averaging.main", false]], "main() (in module unravel.image_tools.transpose_axes)": [[58, "unravel.image_tools.transpose_axes.main", false]], "main() (in module unravel.image_tools.unique_intensities)": [[59, "unravel.image_tools.unique_intensities.main", false]], "main() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.main", false]], "main() (in module unravel.region_stats.rstats_mean_if)": [[61, "unravel.region_stats.rstats_mean_IF.main", false]], "main() (in module unravel.region_stats.rstats_mean_if_in_segmented_voxels)": [[62, "unravel.region_stats.rstats_mean_IF_in_segmented_voxels.main", false]], "main() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.main", false]], "main() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.main", false]], "main() (in module unravel.register.affine_initializer)": [[66, "unravel.register.affine_initializer.main", false]], "main() (in module unravel.register.reg)": [[67, "unravel.register.reg.main", false]], "main() (in module unravel.register.reg_check)": [[68, "unravel.register.reg_check.main", false]], "main() (in module unravel.register.reg_check_brain_mask)": [[69, "unravel.register.reg_check_brain_mask.main", false]], "main() (in module unravel.register.reg_prep)": [[70, "unravel.register.reg_prep.main", false]], "main() (in module unravel.segment.brain_mask)": [[72, "unravel.segment.brain_mask.main", false]], "main() (in module unravel.segment.copy_tifs)": [[73, "unravel.segment.copy_tifs.main", false]], "main() (in module unravel.segment.ilastik_pixel_classification)": [[74, "unravel.segment.ilastik_pixel_classification.main", false]], "main() (in module unravel.unravel_commands)": [[77, "unravel.unravel_commands.main", false]], "main() (in module unravel.utilities.aggregate_files_from_sample_dirs)": [[78, "unravel.utilities.aggregate_files_from_sample_dirs.main", false]], "main() (in module unravel.utilities.aggregate_files_recursively)": [[79, "unravel.utilities.aggregate_files_recursively.main", false]], "main() (in module unravel.utilities.clean_tif_dirs)": [[80, "unravel.utilities.clean_tif_dirs.main", false]], "main() (in module unravel.utilities.prepend_conditions)": [[81, "unravel.utilities.prepend_conditions.main", false]], "main() (in module unravel.utilities.rename)": [[82, "unravel.utilities.rename.main", false]], "main() (in module unravel.utilities.toggle_samples)": [[84, "unravel.utilities.toggle_samples.main", false]], "main() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.main", false]], "main() (in module unravel.voxel_stats.hemi_to_lr_avg)": [[86, "unravel.voxel_stats.hemi_to_LR_avg.main", false]], "main() (in module unravel.voxel_stats.mirror)": [[87, "unravel.voxel_stats.mirror.main", false]], "main() (in module unravel.voxel_stats.other.if_outliers)": [[88, "unravel.voxel_stats.other.IF_outliers.main", false]], "main() (in module unravel.voxel_stats.other.r_to_p)": [[89, "unravel.voxel_stats.other.r_to_p.main", false]], "main() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.main", false]], "main() (in module unravel.voxel_stats.vstats_prep)": [[93, "unravel.voxel_stats.vstats_prep.main", false]], "main() (in module unravel.voxel_stats.whole_to_lr_avg)": [[94, "unravel.voxel_stats.whole_to_LR_avg.main", false]], "main() (in module unravel.voxel_stats.z_score)": [[95, "unravel.voxel_stats.z_score.main", false]], "main() (in module unravel.warp.to_atlas)": [[96, "unravel.warp.to_atlas.main", false]], "main() (in module unravel.warp.to_fixed)": [[97, "unravel.warp.to_fixed.main", false]], "main() (in module unravel.warp.to_native)": [[98, "unravel.warp.to_native.main", false]], "main() (in module unravel.warp.warp)": [[100, "unravel.warp.warp.main", false]], "mean_intensity_in_brain() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.mean_intensity_in_brain", false]], "mean_intensity_within_mask() (in module unravel.voxel_stats.other.if_outliers)": [[88, "unravel.voxel_stats.other.IF_outliers.mean_intensity_within_mask", false]], "mean_std_count() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.mean_std_count", false]], "metadata() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.metadata", false]], "metadata_from_3d_tif() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.metadata_from_3D_tif", false]], "metadata_from_h5() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.metadata_from_h5", false]], "mirror() (in module unravel.voxel_stats.mirror)": [[87, "unravel.voxel_stats.mirror.mirror", false]], "module": [[3, "module-unravel.cluster_stats.brain_model", false], [4, "module-unravel.cluster_stats.cluster_summary", false], [5, "module-unravel.cluster_stats.cluster_validation", false], [6, "module-unravel.cluster_stats.crop", false], [7, "module-unravel.cluster_stats.effect_sizes.effect_sizes", false], [8, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute", false], [9, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative", false], [11, "module-unravel.cluster_stats.fdr", false], [12, "module-unravel.cluster_stats.fdr_range", false], [13, "module-unravel.cluster_stats.find_incongruent_clusters", false], [14, "module-unravel.cluster_stats.group_bilateral_data", false], [15, "module-unravel.cluster_stats.index", false], [16, "module-unravel.cluster_stats.legend", false], [17, "module-unravel.cluster_stats.org_data", false], [18, "module-unravel.cluster_stats.prism", false], [19, "module-unravel.cluster_stats.recursively_mirror_rev_cluster_indices", false], [20, "module-unravel.cluster_stats.stats", false], [21, "module-unravel.cluster_stats.stats_table", false], [22, "module-unravel.cluster_stats.sunburst", false], [23, "module-unravel.cluster_stats.table", false], [25, "module-unravel.core.argparse_utils", false], [26, "module-unravel.core.argparse_utils_rich", false], [27, "module-unravel.core.config", false], [28, "module-unravel.core.img_io", false], [29, "module-unravel.core.img_tools", false], [31, "module-unravel.core.utils", false], [32, "module-unravel.image_io.h5_to_tifs", false], [33, "module-unravel.image_io.img_to_npy", false], [34, "module-unravel.image_io.io_img", false], [35, "module-unravel.image_io.io_nii", false], [36, "module-unravel.image_io.metadata", false], [37, "module-unravel.image_io.nii_hd", false], [38, "module-unravel.image_io.nii_info", false], [39, "module-unravel.image_io.nii_to_tifs", false], [40, "module-unravel.image_io.nii_to_zarr", false], [41, "module-unravel.image_io.reorient_nii", false], [42, "module-unravel.image_io.tif_to_tifs", false], [44, "module-unravel.image_io.zarr_to_nii", false], [45, "module-unravel.image_tools.DoG", false], [46, "module-unravel.image_tools.atlas.relabel_nii", false], [48, "module-unravel.image_tools.atlas.wireframe", false], [49, "module-unravel.image_tools.avg", false], [50, "module-unravel.image_tools.bbox", false], [51, "module-unravel.image_tools.extend", false], [52, "module-unravel.image_tools.max", false], [53, "module-unravel.image_tools.pad", false], [54, "module-unravel.image_tools.rb", false], [55, "module-unravel.image_tools.resample", false], [56, "module-unravel.image_tools.spatial_averaging", false], [58, "module-unravel.image_tools.transpose_axes", false], [59, "module-unravel.image_tools.unique_intensities", false], [60, "module-unravel.region_stats.rstats", false], [61, "module-unravel.region_stats.rstats_mean_IF", false], [62, "module-unravel.region_stats.rstats_mean_IF_in_segmented_voxels", false], [63, "module-unravel.region_stats.rstats_mean_IF_summary", false], [64, "module-unravel.region_stats.rstats_summary", false], [66, "module-unravel.register.affine_initializer", false], [67, "module-unravel.register.reg", false], [68, "module-unravel.register.reg_check", false], [69, "module-unravel.register.reg_check_brain_mask", false], [70, "module-unravel.register.reg_prep", false], [72, "module-unravel.segment.brain_mask", false], [73, "module-unravel.segment.copy_tifs", false], [74, "module-unravel.segment.ilastik_pixel_classification", false], [77, "module-unravel.unravel_commands", false], [78, "module-unravel.utilities.aggregate_files_from_sample_dirs", false], [79, "module-unravel.utilities.aggregate_files_recursively", false], [80, "module-unravel.utilities.clean_tif_dirs", false], [81, "module-unravel.utilities.prepend_conditions", false], [82, "module-unravel.utilities.rename", false], [84, "module-unravel.utilities.toggle_samples", false], [85, "module-unravel.voxel_stats.apply_mask", false], [86, "module-unravel.voxel_stats.hemi_to_LR_avg", false], [87, "module-unravel.voxel_stats.mirror", false], [88, "module-unravel.voxel_stats.other.IF_outliers", false], [89, "module-unravel.voxel_stats.other.r_to_p", false], [92, "module-unravel.voxel_stats.vstats", false], [93, "module-unravel.voxel_stats.vstats_prep", false], [94, "module-unravel.voxel_stats.whole_to_LR_avg", false], [95, "module-unravel.voxel_stats.z_score", false], [96, "module-unravel.warp.to_atlas", false], [97, "module-unravel.warp.to_fixed", false], [98, "module-unravel.warp.to_native", false], [100, "module-unravel.warp.warp", false]], "nii_axis_codes() (in module unravel.image_io.nii_info)": [[38, "unravel.image_io.nii_info.nii_axis_codes", false]], "nii_to_ndarray() (in module unravel.image_io.nii_to_zarr)": [[40, "unravel.image_io.nii_to_zarr.nii_to_ndarray", false]], "nii_to_tifs() (in module unravel.image_io.nii_to_tifs)": [[39, "unravel.image_io.nii_to_tifs.nii_to_tifs", false]], "organize_validation_data() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.organize_validation_data", false]], "pad() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.pad", false]], "parse_args() (in module unravel.cluster_stats.brain_model)": [[3, "unravel.cluster_stats.brain_model.parse_args", false]], "parse_args() (in module unravel.cluster_stats.cluster_summary)": [[4, "unravel.cluster_stats.cluster_summary.parse_args", false]], "parse_args() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.parse_args", false]], "parse_args() (in module unravel.cluster_stats.crop)": [[6, "unravel.cluster_stats.crop.parse_args", false]], "parse_args() (in module unravel.cluster_stats.effect_sizes.effect_sizes)": [[7, "unravel.cluster_stats.effect_sizes.effect_sizes.parse_args", false]], "parse_args() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute)": [[8, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute.parse_args", false]], "parse_args() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.parse_args", false]], "parse_args() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.parse_args", false]], "parse_args() (in module unravel.cluster_stats.fdr_range)": [[12, "unravel.cluster_stats.fdr_range.parse_args", false]], "parse_args() (in module unravel.cluster_stats.find_incongruent_clusters)": [[13, "unravel.cluster_stats.find_incongruent_clusters.parse_args", false]], "parse_args() (in module unravel.cluster_stats.group_bilateral_data)": [[14, "unravel.cluster_stats.group_bilateral_data.parse_args", false]], "parse_args() (in module unravel.cluster_stats.index)": [[15, "unravel.cluster_stats.index.parse_args", false]], "parse_args() (in module unravel.cluster_stats.legend)": [[16, "unravel.cluster_stats.legend.parse_args", false]], "parse_args() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.parse_args", false]], "parse_args() (in module unravel.cluster_stats.prism)": [[18, "unravel.cluster_stats.prism.parse_args", false]], "parse_args() (in module unravel.cluster_stats.recursively_mirror_rev_cluster_indices)": [[19, "unravel.cluster_stats.recursively_mirror_rev_cluster_indices.parse_args", false]], "parse_args() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.parse_args", false]], "parse_args() (in module unravel.cluster_stats.stats_table)": [[21, "unravel.cluster_stats.stats_table.parse_args", false]], "parse_args() (in module unravel.cluster_stats.sunburst)": [[22, "unravel.cluster_stats.sunburst.parse_args", false]], "parse_args() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.parse_args", false]], "parse_args() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.parse_args", false]], "parse_args() (in module unravel.image_io.img_to_npy)": [[33, "unravel.image_io.img_to_npy.parse_args", false]], "parse_args() (in module unravel.image_io.io_img)": [[34, "unravel.image_io.io_img.parse_args", false]], "parse_args() (in module unravel.image_io.io_nii)": [[35, "unravel.image_io.io_nii.parse_args", false]], "parse_args() (in module unravel.image_io.metadata)": [[36, "unravel.image_io.metadata.parse_args", false]], "parse_args() (in module unravel.image_io.nii_hd)": [[37, "unravel.image_io.nii_hd.parse_args", false]], "parse_args() (in module unravel.image_io.nii_info)": [[38, "unravel.image_io.nii_info.parse_args", false]], "parse_args() (in module unravel.image_io.nii_to_tifs)": [[39, "unravel.image_io.nii_to_tifs.parse_args", false]], "parse_args() (in module unravel.image_io.nii_to_zarr)": [[40, "unravel.image_io.nii_to_zarr.parse_args", false]], "parse_args() (in module unravel.image_io.reorient_nii)": [[41, "unravel.image_io.reorient_nii.parse_args", false]], "parse_args() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.parse_args", false]], "parse_args() (in module unravel.image_io.zarr_to_nii)": [[44, "unravel.image_io.zarr_to_nii.parse_args", false]], "parse_args() (in module unravel.image_tools.atlas.relabel_nii)": [[46, "unravel.image_tools.atlas.relabel_nii.parse_args", false]], "parse_args() (in module unravel.image_tools.atlas.wireframe)": [[48, "unravel.image_tools.atlas.wireframe.parse_args", false]], "parse_args() (in module unravel.image_tools.avg)": [[49, "unravel.image_tools.avg.parse_args", false]], "parse_args() (in module unravel.image_tools.bbox)": [[50, "unravel.image_tools.bbox.parse_args", false]], "parse_args() (in module unravel.image_tools.dog)": [[45, "unravel.image_tools.DoG.parse_args", false]], "parse_args() (in module unravel.image_tools.extend)": [[51, "unravel.image_tools.extend.parse_args", false]], "parse_args() (in module unravel.image_tools.max)": [[52, "unravel.image_tools.max.parse_args", false]], "parse_args() (in module unravel.image_tools.pad)": [[53, "unravel.image_tools.pad.parse_args", false]], "parse_args() (in module unravel.image_tools.rb)": [[54, "unravel.image_tools.rb.parse_args", false]], "parse_args() (in module unravel.image_tools.resample)": [[55, "unravel.image_tools.resample.parse_args", false]], "parse_args() (in module unravel.image_tools.spatial_averaging)": [[56, "unravel.image_tools.spatial_averaging.parse_args", false]], "parse_args() (in module unravel.image_tools.transpose_axes)": [[58, "unravel.image_tools.transpose_axes.parse_args", false]], "parse_args() (in module unravel.image_tools.unique_intensities)": [[59, "unravel.image_tools.unique_intensities.parse_args", false]], "parse_args() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.parse_args", false]], "parse_args() (in module unravel.region_stats.rstats_mean_if)": [[61, "unravel.region_stats.rstats_mean_IF.parse_args", false]], "parse_args() (in module unravel.region_stats.rstats_mean_if_in_segmented_voxels)": [[62, "unravel.region_stats.rstats_mean_IF_in_segmented_voxels.parse_args", false]], "parse_args() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.parse_args", false]], "parse_args() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.parse_args", false]], "parse_args() (in module unravel.register.affine_initializer)": [[66, "unravel.register.affine_initializer.parse_args", false]], "parse_args() (in module unravel.register.reg)": [[67, "unravel.register.reg.parse_args", false]], "parse_args() (in module unravel.register.reg_check)": [[68, "unravel.register.reg_check.parse_args", false]], "parse_args() (in module unravel.register.reg_check_brain_mask)": [[69, "unravel.register.reg_check_brain_mask.parse_args", false]], "parse_args() (in module unravel.register.reg_prep)": [[70, "unravel.register.reg_prep.parse_args", false]], "parse_args() (in module unravel.segment.brain_mask)": [[72, "unravel.segment.brain_mask.parse_args", false]], "parse_args() (in module unravel.segment.copy_tifs)": [[73, "unravel.segment.copy_tifs.parse_args", false]], "parse_args() (in module unravel.segment.ilastik_pixel_classification)": [[74, "unravel.segment.ilastik_pixel_classification.parse_args", false]], "parse_args() (in module unravel.unravel_commands)": [[77, "unravel.unravel_commands.parse_args", false]], "parse_args() (in module unravel.utilities.aggregate_files_from_sample_dirs)": [[78, "unravel.utilities.aggregate_files_from_sample_dirs.parse_args", false]], "parse_args() (in module unravel.utilities.aggregate_files_recursively)": [[79, "unravel.utilities.aggregate_files_recursively.parse_args", false]], "parse_args() (in module unravel.utilities.clean_tif_dirs)": [[80, "unravel.utilities.clean_tif_dirs.parse_args", false]], "parse_args() (in module unravel.utilities.prepend_conditions)": [[81, "unravel.utilities.prepend_conditions.parse_args", false]], "parse_args() (in module unravel.utilities.rename)": [[82, "unravel.utilities.rename.parse_args", false]], "parse_args() (in module unravel.utilities.toggle_samples)": [[84, "unravel.utilities.toggle_samples.parse_args", false]], "parse_args() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.parse_args", false]], "parse_args() (in module unravel.voxel_stats.hemi_to_lr_avg)": [[86, "unravel.voxel_stats.hemi_to_LR_avg.parse_args", false]], "parse_args() (in module unravel.voxel_stats.mirror)": [[87, "unravel.voxel_stats.mirror.parse_args", false]], "parse_args() (in module unravel.voxel_stats.other.if_outliers)": [[88, "unravel.voxel_stats.other.IF_outliers.parse_args", false]], "parse_args() (in module unravel.voxel_stats.other.r_to_p)": [[89, "unravel.voxel_stats.other.r_to_p.parse_args", false]], "parse_args() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.parse_args", false]], "parse_args() (in module unravel.voxel_stats.vstats_prep)": [[93, "unravel.voxel_stats.vstats_prep.parse_args", false]], "parse_args() (in module unravel.voxel_stats.whole_to_lr_avg)": [[94, "unravel.voxel_stats.whole_to_LR_avg.parse_args", false]], "parse_args() (in module unravel.voxel_stats.z_score)": [[95, "unravel.voxel_stats.z_score.parse_args", false]], "parse_args() (in module unravel.warp.to_atlas)": [[96, "unravel.warp.to_atlas.parse_args", false]], "parse_args() (in module unravel.warp.to_fixed)": [[97, "unravel.warp.to_fixed.parse_args", false]], "parse_args() (in module unravel.warp.to_native)": [[98, "unravel.warp.to_native.parse_args", false]], "parse_args() (in module unravel.warp.warp)": [[100, "unravel.warp.warp.parse_args", false]], "parse_color_argument() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.parse_color_argument", false]], "perform_t_tests() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.perform_t_tests", false]], "perform_tukey_test() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.perform_tukey_test", false]], "pixel_classification() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.pixel_classification", false]], "plot_data() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.plot_data", false]], "prepend_conditions() (in module unravel.utilities.prepend_conditions)": [[81, "unravel.utilities.prepend_conditions.prepend_conditions", false]], "print_func_name_args_times() (in module unravel.core.utils)": [[31, "unravel.core.utils.print_func_name_args_times", false]], "print_metadata() (in module unravel.image_io.metadata)": [[36, "unravel.image_io.metadata.print_metadata", false]], "process_and_plot_data() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.process_and_plot_data", false]], "process_fdr_and_clusters() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.process_fdr_and_clusters", false]], "process_file() (in module unravel.cluster_stats.recursively_mirror_rev_cluster_indices)": [[19, "unravel.cluster_stats.recursively_mirror_rev_cluster_indices.process_file", false]], "process_intensity() (in module unravel.image_tools.atlas.wireframe)": [[48, "unravel.image_tools.atlas.wireframe.process_intensity", false]], "process_slice() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.process_slice", false]], "r_to_z() (in module unravel.voxel_stats.other.r_to_p)": [[89, "unravel.voxel_stats.other.r_to_p.r_to_z", false]], "reg_prep() (in module unravel.register.reg_prep)": [[70, "unravel.register.reg_prep.reg_prep", false]], "relative_hedges_g() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.relative_hedges_g", false]], "remove_zero_intensity_regions() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.remove_zero_intensity_regions", false]], "rename_files() (in module unravel.utilities.rename)": [[82, "unravel.utilities.rename.rename_files", false]], "rename_items() (in module unravel.utilities.prepend_conditions)": [[81, "unravel.utilities.prepend_conditions.rename_items", false]], "render() (unravel.core.utils.averagetimeperiterationcolumn method)": [[31, "unravel.core.utils.AverageTimePerIterationColumn.render", false]], "render() (unravel.core.utils.custommofncompletecolumn method)": [[31, "unravel.core.utils.CustomMofNCompleteColumn.render", false]], "render() (unravel.core.utils.customtimeelapsedcolumn method)": [[31, "unravel.core.utils.CustomTimeElapsedColumn.render", false]], "render() (unravel.core.utils.customtimeremainingcolumn method)": [[31, "unravel.core.utils.CustomTimeRemainingColumn.render", false]], "reorient_for_raw_to_nii_conv() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.reorient_for_raw_to_nii_conv", false]], "reorient_ndarray() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.reorient_ndarray", false]], "reorient_ndarray2() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.reorient_ndarray2", false]], "reorient_nii() (in module unravel.image_io.reorient_nii)": [[41, "unravel.image_io.reorient_nii.reorient_nii", false]], "resample() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.resample", false]], "resolve_path() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.resolve_path", false]], "return_3d_img() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.return_3D_img", false]], "reverse_clusters() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.reverse_clusters", false]], "reverse_reorient_for_raw_to_nii_conv() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.reverse_reorient_for_raw_to_nii_conv", false]], "rolling_ball_subtraction() (in module unravel.image_tools.rb)": [[54, "unravel.image_tools.rb.rolling_ball_subtraction", false]], "rolling_ball_subtraction_opencv_parallel() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.rolling_ball_subtraction_opencv_parallel", false]], "run_randomise_parallel() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.run_randomise_parallel", false]], "run_script() (in module unravel.cluster_stats.cluster_summary)": [[4, "unravel.cluster_stats.cluster_summary.run_script", false]], "run_with_timeout() (in module unravel.register.affine_initializer)": [[66, "unravel.register.affine_initializer.run_with_timeout", false]], "save_as_h5() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.save_as_h5", false]], "save_as_nii() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.save_as_nii", false]], "save_as_nii() (in module unravel.image_io.zarr_to_nii)": [[44, "unravel.image_io.zarr_to_nii.save_as_nii", false]], "save_as_tifs() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.save_as_tifs", false]], "save_as_tifs() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.save_as_tifs", false]], "save_as_tifs() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.save_as_tifs", false]], "save_as_zarr() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.save_as_zarr", false]], "save_as_zarr() (in module unravel.image_io.nii_to_zarr)": [[40, "unravel.image_io.nii_to_zarr.save_as_zarr", false]], "save_cropped_img() (in module unravel.cluster_stats.crop)": [[6, "unravel.cluster_stats.crop.save_cropped_img", false]], "save_labels_as_masks() (in module unravel.segment.ilastik_pixel_classification)": [[74, "unravel.segment.ilastik_pixel_classification.save_labels_as_masks", false]], "save_metadata_to_file() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.save_metadata_to_file", false]], "save_tif() (in module unravel.image_tools.dog)": [[45, "unravel.image_tools.DoG.save_tif", false]], "save_tif() (in module unravel.image_tools.rb)": [[54, "unravel.image_tools.rb.save_tif", false]], "scale_bool_to_full_res() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.scale_bool_to_full_res", false]], "scale_to_full_res() (in module unravel.warp.to_native)": [[98, "unravel.warp.to_native.scale_to_full_res", false]], "sm (class in unravel.core.argparse_utils)": [[25, "unravel.core.argparse_utils.SM", false]], "sm (class in unravel.core.argparse_utils_rich)": [[26, "unravel.core.argparse_utils_rich.SM", false]], "smart_float_format() (in module unravel.cluster_stats.fdr_range)": [[12, "unravel.cluster_stats.fdr_range.smart_float_format", false]], "sort_samples() (in module unravel.cluster_stats.prism)": [[18, "unravel.cluster_stats.prism.sort_samples", false]], "sort_sunburst_hierarchy() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.sort_sunburst_hierarchy", false]], "spatial_average_2d() (in module unravel.image_tools.spatial_averaging)": [[56, "unravel.image_tools.spatial_averaging.spatial_average_2D", false]], "spatial_average_3d() (in module unravel.image_tools.spatial_averaging)": [[56, "unravel.image_tools.spatial_averaging.spatial_average_3D", false]], "split_clusters_based_on_effect() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.split_clusters_based_on_effect", false]], "summarize_significance() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.summarize_significance", false]], "sunburst() (in module unravel.cluster_stats.sunburst)": [[22, "unravel.cluster_stats.sunburst.sunburst", false]], "suppressmetavar (class in unravel.core.argparse_utils)": [[25, "unravel.core.argparse_utils.SuppressMetavar", false]], "suppressmetavar (class in unravel.core.argparse_utils_rich)": [[26, "unravel.core.argparse_utils_rich.SuppressMetavar", false]], "to_atlas() (in module unravel.warp.to_atlas)": [[96, "unravel.warp.to_atlas.to_atlas", false]], "to_native() (in module unravel.warp.to_native)": [[98, "unravel.warp.to_native.to_native", false]], "transform_nii_affine() (in module unravel.image_io.reorient_nii)": [[41, "unravel.image_io.reorient_nii.transform_nii_affine", false]], "transpose_img() (in module unravel.image_tools.transpose_axes)": [[58, "unravel.image_tools.transpose_axes.transpose_img", false]], "undo_fill_with_original() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.undo_fill_with_original", false]], "uniq_intensities() (in module unravel.image_tools.unique_intensities)": [[59, "unravel.image_tools.unique_intensities.uniq_intensities", false]], "unravel.cluster_stats.brain_model": [[3, "module-unravel.cluster_stats.brain_model", false]], "unravel.cluster_stats.cluster_summary": [[4, "module-unravel.cluster_stats.cluster_summary", false]], "unravel.cluster_stats.cluster_validation": [[5, "module-unravel.cluster_stats.cluster_validation", false]], "unravel.cluster_stats.crop": [[6, "module-unravel.cluster_stats.crop", false]], "unravel.cluster_stats.effect_sizes.effect_sizes": [[7, "module-unravel.cluster_stats.effect_sizes.effect_sizes", false]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute": [[8, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute", false]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative": [[9, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative", false]], "unravel.cluster_stats.fdr": [[11, "module-unravel.cluster_stats.fdr", false]], "unravel.cluster_stats.fdr_range": [[12, "module-unravel.cluster_stats.fdr_range", false]], "unravel.cluster_stats.find_incongruent_clusters": [[13, "module-unravel.cluster_stats.find_incongruent_clusters", false]], "unravel.cluster_stats.group_bilateral_data": [[14, "module-unravel.cluster_stats.group_bilateral_data", false]], "unravel.cluster_stats.index": [[15, "module-unravel.cluster_stats.index", false]], "unravel.cluster_stats.legend": [[16, "module-unravel.cluster_stats.legend", false]], "unravel.cluster_stats.org_data": [[17, "module-unravel.cluster_stats.org_data", false]], "unravel.cluster_stats.prism": [[18, "module-unravel.cluster_stats.prism", false]], "unravel.cluster_stats.recursively_mirror_rev_cluster_indices": [[19, "module-unravel.cluster_stats.recursively_mirror_rev_cluster_indices", false]], "unravel.cluster_stats.stats": [[20, "module-unravel.cluster_stats.stats", false]], "unravel.cluster_stats.stats_table": [[21, "module-unravel.cluster_stats.stats_table", false]], "unravel.cluster_stats.sunburst": [[22, "module-unravel.cluster_stats.sunburst", false]], "unravel.cluster_stats.table": [[23, "module-unravel.cluster_stats.table", false]], "unravel.core.argparse_utils": [[25, "module-unravel.core.argparse_utils", false]], "unravel.core.argparse_utils_rich": [[26, "module-unravel.core.argparse_utils_rich", false]], "unravel.core.config": [[27, "module-unravel.core.config", false]], "unravel.core.img_io": [[28, "module-unravel.core.img_io", false]], "unravel.core.img_tools": [[29, "module-unravel.core.img_tools", false]], "unravel.core.utils": [[31, "module-unravel.core.utils", false]], "unravel.image_io.h5_to_tifs": [[32, "module-unravel.image_io.h5_to_tifs", false]], "unravel.image_io.img_to_npy": [[33, "module-unravel.image_io.img_to_npy", false]], "unravel.image_io.io_img": [[34, "module-unravel.image_io.io_img", false]], "unravel.image_io.io_nii": [[35, "module-unravel.image_io.io_nii", false]], "unravel.image_io.metadata": [[36, "module-unravel.image_io.metadata", false]], "unravel.image_io.nii_hd": [[37, "module-unravel.image_io.nii_hd", false]], "unravel.image_io.nii_info": [[38, "module-unravel.image_io.nii_info", false]], "unravel.image_io.nii_to_tifs": [[39, "module-unravel.image_io.nii_to_tifs", false]], "unravel.image_io.nii_to_zarr": [[40, "module-unravel.image_io.nii_to_zarr", false]], "unravel.image_io.reorient_nii": [[41, "module-unravel.image_io.reorient_nii", false]], "unravel.image_io.tif_to_tifs": [[42, "module-unravel.image_io.tif_to_tifs", false]], "unravel.image_io.zarr_to_nii": [[44, "module-unravel.image_io.zarr_to_nii", false]], "unravel.image_tools.atlas.relabel_nii": [[46, "module-unravel.image_tools.atlas.relabel_nii", false]], "unravel.image_tools.atlas.wireframe": [[48, "module-unravel.image_tools.atlas.wireframe", false]], "unravel.image_tools.avg": [[49, "module-unravel.image_tools.avg", false]], "unravel.image_tools.bbox": [[50, "module-unravel.image_tools.bbox", false]], "unravel.image_tools.dog": [[45, "module-unravel.image_tools.DoG", false]], "unravel.image_tools.extend": [[51, "module-unravel.image_tools.extend", false]], "unravel.image_tools.max": [[52, "module-unravel.image_tools.max", false]], "unravel.image_tools.pad": [[53, "module-unravel.image_tools.pad", false]], "unravel.image_tools.rb": [[54, "module-unravel.image_tools.rb", false]], "unravel.image_tools.resample": [[55, "module-unravel.image_tools.resample", false]], "unravel.image_tools.spatial_averaging": [[56, "module-unravel.image_tools.spatial_averaging", false]], "unravel.image_tools.transpose_axes": [[58, "module-unravel.image_tools.transpose_axes", false]], "unravel.image_tools.unique_intensities": [[59, "module-unravel.image_tools.unique_intensities", false]], "unravel.region_stats.rstats": [[60, "module-unravel.region_stats.rstats", false]], "unravel.region_stats.rstats_mean_if": [[61, "module-unravel.region_stats.rstats_mean_IF", false]], "unravel.region_stats.rstats_mean_if_in_segmented_voxels": [[62, "module-unravel.region_stats.rstats_mean_IF_in_segmented_voxels", false]], "unravel.region_stats.rstats_mean_if_summary": [[63, "module-unravel.region_stats.rstats_mean_IF_summary", false]], "unravel.region_stats.rstats_summary": [[64, "module-unravel.region_stats.rstats_summary", false]], "unravel.register.affine_initializer": [[66, "module-unravel.register.affine_initializer", false]], "unravel.register.reg": [[67, "module-unravel.register.reg", false]], "unravel.register.reg_check": [[68, "module-unravel.register.reg_check", false]], "unravel.register.reg_check_brain_mask": [[69, "module-unravel.register.reg_check_brain_mask", false]], "unravel.register.reg_prep": [[70, "module-unravel.register.reg_prep", false]], "unravel.segment.brain_mask": [[72, "module-unravel.segment.brain_mask", false]], "unravel.segment.copy_tifs": [[73, "module-unravel.segment.copy_tifs", false]], "unravel.segment.ilastik_pixel_classification": [[74, "module-unravel.segment.ilastik_pixel_classification", false]], "unravel.unravel_commands": [[77, "module-unravel.unravel_commands", false]], "unravel.utilities.aggregate_files_from_sample_dirs": [[78, "module-unravel.utilities.aggregate_files_from_sample_dirs", false]], "unravel.utilities.aggregate_files_recursively": [[79, "module-unravel.utilities.aggregate_files_recursively", false]], "unravel.utilities.clean_tif_dirs": [[80, "module-unravel.utilities.clean_tif_dirs", false]], "unravel.utilities.prepend_conditions": [[81, "module-unravel.utilities.prepend_conditions", false]], "unravel.utilities.rename": [[82, "module-unravel.utilities.rename", false]], "unravel.utilities.toggle_samples": [[84, "module-unravel.utilities.toggle_samples", false]], "unravel.voxel_stats.apply_mask": [[85, "module-unravel.voxel_stats.apply_mask", false]], "unravel.voxel_stats.hemi_to_lr_avg": [[86, "module-unravel.voxel_stats.hemi_to_LR_avg", false]], "unravel.voxel_stats.mirror": [[87, "module-unravel.voxel_stats.mirror", false]], "unravel.voxel_stats.other.if_outliers": [[88, "module-unravel.voxel_stats.other.IF_outliers", false]], "unravel.voxel_stats.other.r_to_p": [[89, "module-unravel.voxel_stats.other.r_to_p", false]], "unravel.voxel_stats.vstats": [[92, "module-unravel.voxel_stats.vstats", false]], "unravel.voxel_stats.vstats_prep": [[93, "module-unravel.voxel_stats.vstats_prep", false]], "unravel.voxel_stats.whole_to_lr_avg": [[94, "module-unravel.voxel_stats.whole_to_LR_avg", false]], "unravel.voxel_stats.z_score": [[95, "module-unravel.voxel_stats.z_score", false]], "unravel.warp.to_atlas": [[96, "module-unravel.warp.to_atlas", false]], "unravel.warp.to_fixed": [[97, "module-unravel.warp.to_fixed", false]], "unravel.warp.to_native": [[98, "module-unravel.warp.to_native", false]], "unravel.warp.warp": [[100, "module-unravel.warp.warp", false]], "valid_clusters_t_test() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.valid_clusters_t_test", false]], "verbose (unravel.core.config.configuration attribute)": [[27, "unravel.core.config.Configuration.verbose", false]], "verbose_end_msg() (in module unravel.core.utils)": [[31, "unravel.core.utils.verbose_end_msg", false]], "verbose_start_msg() (in module unravel.core.utils)": [[31, "unravel.core.utils.verbose_start_msg", false]], "warp() (in module unravel.warp.warp)": [[100, "unravel.warp.warp.warp", false]], "whole_to_lr_avg() (in module unravel.voxel_stats.whole_to_lr_avg)": [[94, "unravel.voxel_stats.whole_to_LR_avg.whole_to_LR_avg", false]], "write_to_csv() (in module unravel.region_stats.rstats_mean_if)": [[61, "unravel.region_stats.rstats_mean_IF.write_to_csv", false]], "write_to_csv() (in module unravel.region_stats.rstats_mean_if_in_segmented_voxels)": [[62, "unravel.region_stats.rstats_mean_IF_in_segmented_voxels.write_to_csv", false]], "z_score() (in module unravel.voxel_stats.z_score)": [[95, "unravel.voxel_stats.z_score.z_score", false]], "z_to_p() (in module unravel.voxel_stats.other.r_to_p)": [[89, "unravel.voxel_stats.other.r_to_p.z_to_p", false]], "zarr_to_ndarray() (in module unravel.image_io.zarr_to_nii)": [[44, "unravel.image_io.zarr_to_nii.zarr_to_ndarray", false]]}, "objects": {"unravel": [[77, 0, 0, "-", "unravel_commands"]], "unravel.cluster_stats": [[3, 0, 0, "-", "brain_model"], [4, 0, 0, "-", "cluster_summary"], [5, 0, 0, "-", "cluster_validation"], [6, 0, 0, "-", "crop"], [11, 0, 0, "-", "fdr"], [12, 0, 0, "-", "fdr_range"], [13, 0, 0, "-", "find_incongruent_clusters"], [14, 0, 0, "-", "group_bilateral_data"], [15, 0, 0, "-", "index"], [16, 0, 0, "-", "legend"], [17, 0, 0, "-", "org_data"], [18, 0, 0, "-", "prism"], [19, 0, 0, "-", "recursively_mirror_rev_cluster_indices"], [20, 0, 0, "-", "stats"], [21, 0, 0, "-", "stats_table"], [22, 0, 0, "-", "sunburst"], [23, 0, 0, "-", "table"]], "unravel.cluster_stats.brain_model": [[3, 1, 1, "", "main"], [3, 1, 1, "", "parse_args"]], "unravel.cluster_stats.cluster_summary": [[4, 1, 1, "", "main"], [4, 1, 1, "", "parse_args"], [4, 1, 1, "", "run_script"]], "unravel.cluster_stats.cluster_validation": [[5, 1, 1, "", "cluster_bbox"], [5, 1, 1, "", "cluster_bbox_parallel"], [5, 1, 1, "", "count_cells"], [5, 1, 1, "", "crop_outer_space"], [5, 1, 1, "", "density_in_cluster"], [5, 1, 1, "", "density_in_cluster_parallel"], [5, 1, 1, "", "main"], [5, 1, 1, "", "parse_args"]], "unravel.cluster_stats.crop": [[6, 1, 1, "", "main"], [6, 1, 1, "", "parse_args"], [6, 1, 1, "", "save_cropped_img"]], "unravel.cluster_stats.effect_sizes": [[7, 0, 0, "-", "effect_sizes"], [8, 0, 0, "-", "effect_sizes_by_sex__absolute"], [9, 0, 0, "-", "effect_sizes_by_sex__relative"]], "unravel.cluster_stats.effect_sizes.effect_sizes": [[7, 1, 1, "", "condition_selector"], [7, 1, 1, "", "filter_dataframe"], [7, 1, 1, "", "hedges_g"], [7, 1, 1, "", "main"], [7, 1, 1, "", "parse_args"]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute": [[8, 1, 1, "", "condition_selector"], [8, 1, 1, "", "filter_dataframe"], [8, 1, 1, "", "hedges_g"], [8, 1, 1, "", "main"], [8, 1, 1, "", "parse_args"]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative": [[9, 1, 1, "", "condition_selector"], [9, 1, 1, "", "filter_dataframe"], [9, 1, 1, "", "main"], [9, 1, 1, "", "mean_std_count"], [9, 1, 1, "", "parse_args"], [9, 1, 1, "", "relative_hedges_g"]], "unravel.cluster_stats.fdr": [[11, 1, 1, "", "cluster_index"], [11, 1, 1, "", "fdr"], [11, 1, 1, "", "main"], [11, 1, 1, "", "parse_args"], [11, 1, 1, "", "process_fdr_and_clusters"], [11, 1, 1, "", "reverse_clusters"], [11, 1, 1, "", "split_clusters_based_on_effect"]], "unravel.cluster_stats.fdr_range": [[12, 1, 1, "", "fdr_range"], [12, 1, 1, "", "main"], [12, 1, 1, "", "parse_args"], [12, 1, 1, "", "smart_float_format"]], "unravel.cluster_stats.find_incongruent_clusters": [[13, 1, 1, "", "find_incongruent_clusters"], [13, 1, 1, "", "main"], [13, 1, 1, "", "parse_args"]], "unravel.cluster_stats.group_bilateral_data": [[14, 1, 1, "", "group_hemisphere_data"], [14, 1, 1, "", "main"], [14, 1, 1, "", "parse_args"]], "unravel.cluster_stats.index": [[15, 1, 1, "", "generate_sunburst"], [15, 1, 1, "", "main"], [15, 1, 1, "", "parse_args"]], "unravel.cluster_stats.legend": [[16, 1, 1, "", "apply_rgb_to_cell"], [16, 1, 1, "", "extract_unique_regions_from_file"], [16, 1, 1, "", "main"], [16, 1, 1, "", "parse_args"]], "unravel.cluster_stats.org_data": [[17, 1, 1, "", "copy_stats_files"], [17, 1, 1, "", "cp"], [17, 1, 1, "", "find_matching_directory"], [17, 1, 1, "", "main"], [17, 1, 1, "", "organize_validation_data"], [17, 1, 1, "", "parse_args"]], "unravel.cluster_stats.prism": [[18, 1, 1, "", "generate_summary_table"], [18, 1, 1, "", "main"], [18, 1, 1, "", "parse_args"], [18, 1, 1, "", "sort_samples"]], "unravel.cluster_stats.recursively_mirror_rev_cluster_indices": [[19, 1, 1, "", "main"], [19, 1, 1, "", "parse_args"], [19, 1, 1, "", "process_file"]], "unravel.cluster_stats.stats": [[20, 1, 1, "", "cluster_validation_data_df"], [20, 1, 1, "", "condition_selector"], [20, 1, 1, "", "main"], [20, 1, 1, "", "parse_args"], [20, 1, 1, "", "perform_tukey_test"], [20, 1, 1, "", "valid_clusters_t_test"]], "unravel.cluster_stats.stats_table": [[21, 1, 1, "", "cluster_summary"], [21, 1, 1, "", "main"], [21, 1, 1, "", "parse_args"]], "unravel.cluster_stats.sunburst": [[22, 1, 1, "", "calculate_regional_volumes"], [22, 1, 1, "", "main"], [22, 1, 1, "", "parse_args"], [22, 1, 1, "", "sunburst"]], "unravel.cluster_stats.table": [[23, 1, 1, "", "calculate_top_regions"], [23, 1, 1, "", "can_collapse"], [23, 1, 1, "", "collapse_hierarchy"], [23, 1, 1, "", "fill_na_with_last_known"], [23, 1, 1, "", "get_fill_color"], [23, 1, 1, "", "get_top_regions_and_percent_vols"], [23, 1, 1, "", "main"], [23, 1, 1, "", "parse_args"], [23, 1, 1, "", "sort_sunburst_hierarchy"], [23, 1, 1, "", "undo_fill_with_original"]], "unravel.core": [[25, 0, 0, "-", "argparse_utils"], [26, 0, 0, "-", "argparse_utils_rich"], [27, 0, 0, "-", "config"], [28, 0, 0, "-", "img_io"], [29, 0, 0, "-", "img_tools"], [31, 0, 0, "-", "utils"]], "unravel.core.argparse_utils": [[25, 2, 1, "", "SM"], [25, 2, 1, "", "SuppressMetavar"]], "unravel.core.argparse_utils_rich": [[26, 2, 1, "", "SM"], [26, 2, 1, "", "SuppressMetavar"]], "unravel.core.config": [[27, 2, 1, "", "AttrDict"], [27, 2, 1, "", "Config"], [27, 2, 1, "", "Configuration"]], "unravel.core.config.Configuration": [[27, 3, 1, "", "verbose"]], "unravel.core.img_io": [[28, 1, 1, "", "extract_resolution"], [28, 1, 1, "", "load_3D_img"], [28, 1, 1, "", "load_czi"], [28, 1, 1, "", "load_h5"], [28, 1, 1, "", "load_image_metadata_from_txt"], [28, 1, 1, "", "load_nii"], [28, 1, 1, "", "load_nii_orientation"], [28, 1, 1, "", "load_nii_subset"], [28, 1, 1, "", "load_tifs"], [28, 1, 1, "", "load_zarr"], [28, 1, 1, "", "metadata"], [28, 1, 1, "", "resolve_path"], [28, 1, 1, "", "return_3D_img"], [28, 1, 1, "", "save_as_h5"], [28, 1, 1, "", "save_as_nii"], [28, 1, 1, "", "save_as_tifs"], [28, 1, 1, "", "save_as_zarr"], [28, 1, 1, "", "save_metadata_to_file"]], "unravel.core.img_tools": [[29, 1, 1, "", "cluster_IDs"], [29, 1, 1, "", "crop"], [29, 1, 1, "", "find_bounding_box"], [29, 1, 1, "", "pad"], [29, 1, 1, "", "pixel_classification"], [29, 1, 1, "", "process_slice"], [29, 1, 1, "", "reorient_for_raw_to_nii_conv"], [29, 1, 1, "", "reorient_ndarray"], [29, 1, 1, "", "reorient_ndarray2"], [29, 1, 1, "", "resample"], [29, 1, 1, "", "reverse_reorient_for_raw_to_nii_conv"], [29, 1, 1, "", "rolling_ball_subtraction_opencv_parallel"]], "unravel.core.utils": [[31, 2, 1, "", "AverageTimePerIterationColumn"], [31, 2, 1, "", "CustomMofNCompleteColumn"], [31, 2, 1, "", "CustomTimeElapsedColumn"], [31, 2, 1, "", "CustomTimeRemainingColumn"], [31, 1, 1, "", "copy_files"], [31, 1, 1, "", "get_dir_name_from_args"], [31, 1, 1, "", "get_samples"], [31, 1, 1, "", "initialize_progress_bar"], [31, 1, 1, "", "load_config"], [31, 1, 1, "", "load_text_from_file"], [31, 1, 1, "", "log_command"], [31, 1, 1, "", "print_func_name_args_times"], [31, 1, 1, "", "verbose_end_msg"], [31, 1, 1, "", "verbose_start_msg"]], "unravel.core.utils.AverageTimePerIterationColumn": [[31, 4, 1, "", "render"]], "unravel.core.utils.CustomMofNCompleteColumn": [[31, 4, 1, "", "render"]], "unravel.core.utils.CustomTimeElapsedColumn": [[31, 4, 1, "", "render"]], "unravel.core.utils.CustomTimeRemainingColumn": [[31, 4, 1, "", "render"]], "unravel.image_io": [[32, 0, 0, "-", "h5_to_tifs"], [33, 0, 0, "-", "img_to_npy"], [34, 0, 0, "-", "io_img"], [35, 0, 0, "-", "io_nii"], [36, 0, 0, "-", "metadata"], [37, 0, 0, "-", "nii_hd"], [38, 0, 0, "-", "nii_info"], [39, 0, 0, "-", "nii_to_tifs"], [40, 0, 0, "-", "nii_to_zarr"], [41, 0, 0, "-", "reorient_nii"], [42, 0, 0, "-", "tif_to_tifs"], [44, 0, 0, "-", "zarr_to_nii"]], "unravel.image_io.h5_to_tifs": [[32, 1, 1, "", "find_largest_h5_file"], [32, 1, 1, "", "load_h5"], [32, 1, 1, "", "main"], [32, 1, 1, "", "metadata_from_h5"], [32, 1, 1, "", "parse_args"], [32, 1, 1, "", "save_as_tifs"]], "unravel.image_io.img_to_npy": [[33, 1, 1, "", "main"], [33, 1, 1, "", "parse_args"]], "unravel.image_io.io_img": [[34, 1, 1, "", "main"], [34, 1, 1, "", "parse_args"]], "unravel.image_io.io_nii": [[35, 1, 1, "", "convert_dtype"], [35, 1, 1, "", "main"], [35, 1, 1, "", "parse_args"]], "unravel.image_io.metadata": [[36, 1, 1, "", "get_dims_from_tifs"], [36, 1, 1, "", "main"], [36, 1, 1, "", "parse_args"], [36, 1, 1, "", "print_metadata"]], "unravel.image_io.nii_hd": [[37, 1, 1, "", "main"], [37, 1, 1, "", "parse_args"]], "unravel.image_io.nii_info": [[38, 1, 1, "", "main"], [38, 1, 1, "", "nii_axis_codes"], [38, 1, 1, "", "parse_args"]], "unravel.image_io.nii_to_tifs": [[39, 1, 1, "", "main"], [39, 1, 1, "", "nii_to_tifs"], [39, 1, 1, "", "parse_args"]], "unravel.image_io.nii_to_zarr": [[40, 1, 1, "", "main"], [40, 1, 1, "", "nii_to_ndarray"], [40, 1, 1, "", "parse_args"], [40, 1, 1, "", "save_as_zarr"]], "unravel.image_io.reorient_nii": [[41, 1, 1, "", "main"], [41, 1, 1, "", "parse_args"], [41, 1, 1, "", "reorient_nii"], [41, 1, 1, "", "transform_nii_affine"]], "unravel.image_io.tif_to_tifs": [[42, 1, 1, "", "find_largest_tif_file"], [42, 1, 1, "", "load_3D_tif"], [42, 1, 1, "", "main"], [42, 1, 1, "", "metadata_from_3D_tif"], [42, 1, 1, "", "parse_args"], [42, 1, 1, "", "save_as_tifs"]], "unravel.image_io.zarr_to_nii": [[44, 1, 1, "", "define_zarr_to_nii_output"], [44, 1, 1, "", "main"], [44, 1, 1, "", "parse_args"], [44, 1, 1, "", "save_as_nii"], [44, 1, 1, "", "zarr_to_ndarray"]], "unravel.image_tools": [[45, 0, 0, "-", "DoG"], [49, 0, 0, "-", "avg"], [50, 0, 0, "-", "bbox"], [51, 0, 0, "-", "extend"], [52, 0, 0, "-", "max"], [53, 0, 0, "-", "pad"], [54, 0, 0, "-", "rb"], [55, 0, 0, "-", "resample"], [56, 0, 0, "-", "spatial_averaging"], [58, 0, 0, "-", "transpose_axes"], [59, 0, 0, "-", "unique_intensities"]], "unravel.image_tools.DoG": [[45, 1, 1, "", "difference_of_gaussians"], [45, 1, 1, "", "load_tif"], [45, 1, 1, "", "main"], [45, 1, 1, "", "parse_args"], [45, 1, 1, "", "save_tif"]], "unravel.image_tools.atlas": [[46, 0, 0, "-", "relabel_nii"], [48, 0, 0, "-", "wireframe"]], "unravel.image_tools.atlas.relabel_nii": [[46, 1, 1, "", "main"], [46, 1, 1, "", "parse_args"]], "unravel.image_tools.atlas.wireframe": [[48, 1, 1, "", "generate_wireframe"], [48, 1, 1, "", "main"], [48, 1, 1, "", "parse_args"], [48, 1, 1, "", "process_intensity"]], "unravel.image_tools.avg": [[49, 1, 1, "", "main"], [49, 1, 1, "", "parse_args"]], "unravel.image_tools.bbox": [[50, 1, 1, "", "main"], [50, 1, 1, "", "parse_args"]], "unravel.image_tools.extend": [[51, 1, 1, "", "extend_one_side_3d_array"], [51, 1, 1, "", "main"], [51, 1, 1, "", "parse_args"]], "unravel.image_tools.max": [[52, 1, 1, "", "find_max_intensity"], [52, 1, 1, "", "main"], [52, 1, 1, "", "parse_args"]], "unravel.image_tools.pad": [[53, 1, 1, "", "main"], [53, 1, 1, "", "parse_args"]], "unravel.image_tools.rb": [[54, 1, 1, "", "load_tif"], [54, 1, 1, "", "main"], [54, 1, 1, "", "parse_args"], [54, 1, 1, "", "rolling_ball_subtraction"], [54, 1, 1, "", "save_tif"]], "unravel.image_tools.resample": [[55, 1, 1, "", "main"], [55, 1, 1, "", "parse_args"]], "unravel.image_tools.spatial_averaging": [[56, 1, 1, "", "apply_2D_mean_filter"], [56, 1, 1, "", "main"], [56, 1, 1, "", "parse_args"], [56, 1, 1, "", "spatial_average_2D"], [56, 1, 1, "", "spatial_average_3D"]], "unravel.image_tools.transpose_axes": [[58, 1, 1, "", "main"], [58, 1, 1, "", "parse_args"], [58, 1, 1, "", "transpose_img"]], "unravel.image_tools.unique_intensities": [[59, 1, 1, "", "main"], [59, 1, 1, "", "parse_args"], [59, 1, 1, "", "uniq_intensities"]], "unravel.region_stats": [[60, 0, 0, "-", "rstats"], [61, 0, 0, "-", "rstats_mean_IF"], [62, 0, 0, "-", "rstats_mean_IF_in_segmented_voxels"], [63, 0, 0, "-", "rstats_mean_IF_summary"], [64, 0, 0, "-", "rstats_summary"]], "unravel.region_stats.rstats": [[60, 1, 1, "", "calculate_regional_cell_densities"], [60, 1, 1, "", "calculate_regional_volumes"], [60, 1, 1, "", "count_cells_in_regions"], [60, 1, 1, "", "get_atlas_region_at_coords"], [60, 1, 1, "", "main"], [60, 1, 1, "", "parse_args"]], "unravel.region_stats.rstats_mean_IF": [[61, 1, 1, "", "calculate_mean_intensity"], [61, 1, 1, "", "main"], [61, 1, 1, "", "parse_args"], [61, 1, 1, "", "write_to_csv"]], "unravel.region_stats.rstats_mean_IF_in_segmented_voxels": [[62, 1, 1, "", "calculate_mean_intensity"], [62, 1, 1, "", "main"], [62, 1, 1, "", "parse_args"], [62, 1, 1, "", "write_to_csv"]], "unravel.region_stats.rstats_mean_IF_summary": [[63, 1, 1, "", "filter_region_ids"], [63, 1, 1, "", "get_all_region_ids"], [63, 1, 1, "", "get_max_region_id_from_csvs"], [63, 1, 1, "", "get_region_details"], [63, 1, 1, "", "load_data"], [63, 1, 1, "", "main"], [63, 1, 1, "", "parse_args"], [63, 1, 1, "", "perform_t_tests"], [63, 1, 1, "", "plot_data"], [63, 1, 1, "", "remove_zero_intensity_regions"]], "unravel.region_stats.rstats_summary": [[64, 1, 1, "", "get_region_details"], [64, 1, 1, "", "main"], [64, 1, 1, "", "parse_args"], [64, 1, 1, "", "parse_color_argument"], [64, 1, 1, "", "process_and_plot_data"], [64, 1, 1, "", "summarize_significance"]], "unravel.register": [[66, 0, 0, "-", "affine_initializer"], [67, 0, 0, "-", "reg"], [68, 0, 0, "-", "reg_check"], [69, 0, 0, "-", "reg_check_brain_mask"], [70, 0, 0, "-", "reg_prep"]], "unravel.register.affine_initializer": [[66, 1, 1, "", "affine_initializer_wrapper"], [66, 1, 1, "", "main"], [66, 1, 1, "", "parse_args"], [66, 1, 1, "", "run_with_timeout"]], "unravel.register.reg": [[67, 1, 1, "", "bias_correction"], [67, 1, 1, "", "main"], [67, 1, 1, "", "parse_args"]], "unravel.register.reg_check": [[68, 1, 1, "", "main"], [68, 1, 1, "", "parse_args"]], "unravel.register.reg_check_brain_mask": [[69, 1, 1, "", "main"], [69, 1, 1, "", "parse_args"]], "unravel.register.reg_prep": [[70, 1, 1, "", "main"], [70, 1, 1, "", "parse_args"], [70, 1, 1, "", "reg_prep"]], "unravel.segment": [[72, 0, 0, "-", "brain_mask"], [73, 0, 0, "-", "copy_tifs"], [74, 0, 0, "-", "ilastik_pixel_classification"]], "unravel.segment.brain_mask": [[72, 1, 1, "", "main"], [72, 1, 1, "", "parse_args"]], "unravel.segment.copy_tifs": [[73, 1, 1, "", "copy_specific_slices"], [73, 1, 1, "", "main"], [73, 1, 1, "", "parse_args"]], "unravel.segment.ilastik_pixel_classification": [[74, 1, 1, "", "count_files"], [74, 1, 1, "", "main"], [74, 1, 1, "", "parse_args"], [74, 1, 1, "", "save_labels_as_masks"]], "unravel.unravel_commands": [[77, 1, 1, "", "main"], [77, 1, 1, "", "parse_args"]], "unravel.utilities": [[78, 0, 0, "-", "aggregate_files_from_sample_dirs"], [79, 0, 0, "-", "aggregate_files_recursively"], [80, 0, 0, "-", "clean_tif_dirs"], [81, 0, 0, "-", "prepend_conditions"], [82, 0, 0, "-", "rename"], [84, 0, 0, "-", "toggle_samples"]], "unravel.utilities.aggregate_files_from_sample_dirs": [[78, 1, 1, "", "aggregate_files_from_sample_dirs"], [78, 1, 1, "", "main"], [78, 1, 1, "", "parse_args"]], "unravel.utilities.aggregate_files_recursively": [[79, 1, 1, "", "find_and_copy_files"], [79, 1, 1, "", "main"], [79, 1, 1, "", "parse_args"]], "unravel.utilities.clean_tif_dirs": [[80, 1, 1, "", "clean_tifs_dir"], [80, 1, 1, "", "main"], [80, 1, 1, "", "parse_args"]], "unravel.utilities.prepend_conditions": [[81, 1, 1, "", "main"], [81, 1, 1, "", "parse_args"], [81, 1, 1, "", "prepend_conditions"], [81, 1, 1, "", "rename_items"]], "unravel.utilities.rename": [[82, 1, 1, "", "main"], [82, 1, 1, "", "parse_args"], [82, 1, 1, "", "rename_files"]], "unravel.utilities.toggle_samples": [[84, 1, 1, "", "main"], [84, 1, 1, "", "parse_args"]], "unravel.voxel_stats": [[85, 0, 0, "-", "apply_mask"], [86, 0, 0, "-", "hemi_to_LR_avg"], [87, 0, 0, "-", "mirror"], [92, 0, 0, "-", "vstats"], [93, 0, 0, "-", "vstats_prep"], [94, 0, 0, "-", "whole_to_LR_avg"], [95, 0, 0, "-", "z_score"]], "unravel.voxel_stats.apply_mask": [[85, 1, 1, "", "apply_mask_to_ndarray"], [85, 1, 1, "", "dilate_mask"], [85, 1, 1, "", "load_mask"], [85, 1, 1, "", "main"], [85, 1, 1, "", "mean_intensity_in_brain"], [85, 1, 1, "", "parse_args"], [85, 1, 1, "", "scale_bool_to_full_res"]], "unravel.voxel_stats.hemi_to_LR_avg": [[86, 1, 1, "", "hemi_to_LR_avg"], [86, 1, 1, "", "main"], [86, 1, 1, "", "parse_args"]], "unravel.voxel_stats.mirror": [[87, 1, 1, "", "main"], [87, 1, 1, "", "mirror"], [87, 1, 1, "", "parse_args"]], "unravel.voxel_stats.other": [[88, 0, 0, "-", "IF_outliers"], [89, 0, 0, "-", "r_to_p"]], "unravel.voxel_stats.other.IF_outliers": [[88, 1, 1, "", "detect_outliers"], [88, 1, 1, "", "main"], [88, 1, 1, "", "mean_intensity_within_mask"], [88, 1, 1, "", "parse_args"]], "unravel.voxel_stats.other.r_to_p": [[89, 1, 1, "", "main"], [89, 1, 1, "", "parse_args"], [89, 1, 1, "", "r_to_z"], [89, 1, 1, "", "z_to_p"]], "unravel.voxel_stats.vstats": [[92, 1, 1, "", "calculate_fragments"], [92, 1, 1, "", "check_fdr_command"], [92, 1, 1, "", "create_design_ttest2"], [92, 1, 1, "", "get_groups_info"], [92, 1, 1, "", "main"], [92, 1, 1, "", "parse_args"], [92, 1, 1, "", "run_randomise_parallel"]], "unravel.voxel_stats.vstats_prep": [[93, 1, 1, "", "main"], [93, 1, 1, "", "parse_args"]], "unravel.voxel_stats.whole_to_LR_avg": [[94, 1, 1, "", "main"], [94, 1, 1, "", "parse_args"], [94, 1, 1, "", "whole_to_LR_avg"]], "unravel.voxel_stats.z_score": [[95, 1, 1, "", "main"], [95, 1, 1, "", "parse_args"], [95, 1, 1, "", "z_score"]], "unravel.warp": [[96, 0, 0, "-", "to_atlas"], [97, 0, 0, "-", "to_fixed"], [98, 0, 0, "-", "to_native"], [100, 0, 0, "-", "warp"]], "unravel.warp.to_atlas": [[96, 1, 1, "", "copy_nii_header"], [96, 1, 1, "", "main"], [96, 1, 1, "", "parse_args"], [96, 1, 1, "", "to_atlas"]], "unravel.warp.to_fixed": [[97, 1, 1, "", "calculate_padded_dimensions"], [97, 1, 1, "", "forward_warp"], [97, 1, 1, "", "main"], [97, 1, 1, "", "parse_args"]], "unravel.warp.to_native": [[98, 1, 1, "", "calculate_resampled_padded_dimensions"], [98, 1, 1, "", "main"], [98, 1, 1, "", "parse_args"], [98, 1, 1, "", "scale_to_full_res"], [98, 1, 1, "", "to_native"]], "unravel.warp.warp": [[100, 1, 1, "", "main"], [100, 1, 1, "", "parse_args"], [100, 1, 1, "", "warp"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "function", "Python function"], "2": ["py", "class", "Python class"], "3": ["py", "attribute", "Python attribute"], "4": ["py", "method", "Python method"]}, "objtypes": {"0": "py:module", "1": "py:function", "2": "py:class", "3": "py:attribute", "4": "py:method"}, "terms": {"": [0, 2, 4, 5, 7, 8, 9, 23, 24, 26, 29, 41, 51, 59, 60, 62, 64, 65, 67, 70, 73, 76, 77, 79, 80, 89, 92, 95], "0": [0, 7, 8, 9, 11, 16, 28, 29, 35, 41, 45, 48, 54, 59, 63, 67, 76, 86, 87, 91, 92, 94, 97, 98], "000": 0, "0000": [0, 73], "0005": [0, 73], "005": 0, "0050": [0, 73], "01": 0, "0100": [0, 73], "05": [0, 11], "0500": [0, 73], "1": [0, 2, 7, 8, 9, 11, 15, 18, 20, 23, 29, 35, 41, 45, 48, 54, 59, 72, 76, 86, 91, 92, 94], "10": [0, 22, 66], "100": [0, 51, 57, 76], "1000": [0, 28, 73], "10000": [0, 64], "11": 2, "12000": 92, "15": [0, 29, 53, 67, 97, 98], "18000": 92, "1st": [0, 41, 70, 93, 96], "2": [0, 2, 7, 8, 9, 11, 15, 18, 20, 25, 26, 41, 45, 54, 56, 67, 86, 87, 94], "20": 0, "2020": 0, "24": [25, 26], "25": [15, 22, 89], "255": 35, "26": 56, "27af2": 64, "2d": [45, 56], "2d67c8": 64, "2nd": [0, 41], "2x2": 0, "3": [2, 15, 18, 22, 29, 35, 36, 41, 45, 56, 67, 74, 88, 96], "300": 92, "33063286": 0, "37248402": 7, "3d": [0, 1, 5, 28, 29, 33, 34, 42, 45, 48, 51, 54, 56, 59, 62, 70, 96], "3d_brain": 4, "3post3": 2, "3rd": [0, 41], "3x3": 56, "3x3x3": [0, 56], "4": [0, 54, 67, 93], "400": 0, "488": 42, "4d": 0, "5": [7, 8, 9, 45], "50": [72, 97, 98], "5232": [36, 96], "6": [5, 36, 96], "6e10_rb20": 85, "6e10_rb20_wo_artifact": 85, "6e10_seg_ilastik_2": 85, "7": 0, "7f25d3": 64, "8": [7, 8, 9, 29, 43, 56, 76], "9": 12, "A": [0, 2, 7, 8, 9, 13, 20, 25, 26, 27, 31, 41, 48, 67], "As": 23, "For": [0, 2, 4, 5, 11, 13, 14, 15, 22, 41, 48, 74, 77, 81, 84, 92, 97, 100], "IF": [0, 13, 62, 63], "If": [1, 2, 4, 5, 7, 8, 9, 20, 28, 29, 31, 32, 41, 42, 63, 77, 81, 95, 100], "In": 0, "It": [0, 14, 27, 92], "Its": 0, "One": 77, "Or": 0, "The": [0, 1, 3, 4, 7, 8, 9, 11, 14, 20, 23, 25, 26, 27, 28, 41, 45, 56, 63, 67, 81, 84, 87, 92, 97], "Then": 4, "These": [0, 94], "To": [0, 2, 54, 64, 74], "With": [0, 35], "_": [0, 4, 7, 8, 9, 18, 20, 84], "_6e10_seg_ilastik_2": 85, "__call__": [25, 26], "__getattr__": 27, "__init__": [25, 26, 27], "_cfos_rb4_atlas_spac": [0, 95], "_cfos_rb4_atlas_space_z": 0, "_cluster_validation_info": 13, "_data": 5, "_densiti": 18, "_density_data": [18, 20], "_density_data_lh": [18, 20], "_density_data_rh": [18, 20], "_description_": [29, 59], "_f_gt_m": 9, "_f_gt_m_valid_clust": 9, "_fill_text": [25, 26], "_format_action_invoc": [25, 26], "_fos_rb4_gubra_space_z_lravg": 78, "_gt_": 11, "_hedges_g_": [7, 8, 9], "_iba1_seg_ilastik_2": 85, "_lh": [14, 18, 20], "_lt_": 11, "_ochann_rb4_gubra_spac": 93, "_other": 0, "_p_value_map": 89, "_p_value_map_fdr_correct": 89, "_rev_cluster_index": [0, 5], "_rev_cluster_index_": 0, "_rh": [14, 18, 20], "_seg_dir": [5, 62], "_seg_dir_1": 0, "_seg_dir_regional_mean_if_in_seg": 62, "_strip_com": 27, "_sunburst": 15, "_type_": 59, "_v_": 11, "_valid_clust": [4, 7, 8], "_valid_clusters_stat": [4, 20], "_valid_clusters_t": 16, "_vox_p_": 0, "_z": 95, "_z_score_map": 89, "a1": [0, 11], "a2": [0, 11], "aba": [3, 22], "aba_seg": 62, "abbevi": 4, "abbr": [0, 63, 64], "abbrevi": [16, 22], "abcasei": 1, "about": 0, "absolut": [0, 31], "access": [0, 27], "accident": 0, "accod": 11, "accordingli": 35, "account": 0, "accur": 0, "across": [1, 22, 26, 63], "action": [17, 25, 26], "activ": [2, 76, 83], "actual": 0, "ad": [0, 31, 45, 77], "adapt": [0, 1], "add": [1, 2, 53, 54, 63, 64], "add_argu": [25, 26], "add_prefix": 78, "addit": [27, 76, 91], "adj_p_val_img_path": 11, "adjust": [0, 11, 23, 87], "adjusted_pval_output_path": 11, "administr": 2, "affect": 0, "affin": [28, 38, 41], "affine_initi": [1, 71, 76], "affine_initializer_wrapp": [66, 71, 76], "after": [1, 2, 19, 20, 24, 29, 56, 63, 66, 76, 77, 87], "again": [0, 77], "against": [7, 8, 9, 20], "aggreg": [0, 4, 17, 20, 23, 63, 78, 93, 95], "aggregate_files_from_sample_dir": [0, 1, 76, 83], "aggregate_files_recurs": [1, 76, 83], "algorithm": 54, "alia": [0, 2, 77], "alias": 77, "align": [0, 41], "all": [1, 4, 5, 7, 8, 9, 20, 22, 23, 26, 29, 31, 57, 60, 63, 76, 83], "allen": 1, "allow": [0, 27, 66, 85], "along": 87, "alphabet": 0, "alreadi": [0, 2, 4, 65, 76, 83], "also": [0, 41, 54, 60, 66, 86, 94], "alt": 63, "altern": [0, 2, 20], "ama": 95, "amyloid": 0, "an": [1, 2, 7, 8, 9, 20, 25, 26, 28, 29, 31, 32, 33, 35, 36, 38, 39, 40, 44, 45, 48, 50, 52, 53, 54, 55, 56, 60, 67, 74, 76, 77, 85, 87, 91, 93, 94, 98, 100], "analys": 92, "analyz": [0, 4, 95], "ani": [1, 7, 8, 9, 18, 20], "anoth": [0, 20, 45, 77], "anova": [0, 11], "anterior": [0, 41, 67], "antspi": [1, 96, 100], "antspy_init_tform": 66, "app": 22, "append": 0, "appli": [0, 2, 3, 5, 16, 19, 41, 45, 56, 86, 94, 100], "applic": [27, 85], "apply_2d_mean_filt": [56, 57, 76], "apply_mask": [1, 76, 91], "apply_mask_to_ndarrai": [76, 85, 91], "apply_rgb_to_cel": [16, 24, 76], "approach": 35, "apt": 2, "ar": [0, 1, 4, 7, 11, 20, 23, 31, 41, 45, 48, 56, 67, 77, 87], "arctanh": 89, "arg": [5, 6, 19, 25, 26, 31, 48, 62, 64, 85], "argpars": [25, 26, 62], "argparse_util": [1, 30, 76], "argparse_utils_rich": [1, 30, 76], "argument": [0, 4, 25, 26, 31, 36, 62, 70, 80], "argumentpars": [25, 26], "around": [5, 45], "arr": 56, "arrai": [0, 28, 29, 48, 56], "artifact": [0, 76, 91], "associ": 27, "assum": [29, 32, 80], "asterisk": [4, 11, 15, 16, 17, 18, 20, 22, 23, 32, 42, 49, 61, 62, 63, 68, 70, 72, 74, 79, 87, 88, 93, 96], "atla": [1, 2, 3, 5, 15, 22, 29, 57, 61, 62, 65, 71, 76, 87, 91, 92, 93, 96, 97, 98, 99], "atlas": [1, 66, 87], "atlas1": 67, "atlas2": 67, "atlas_img": [60, 100], "atlas_img_w": 48, "atlas_img_w_id": 48, "atlas_in_tissue_spac": [0, 68, 100], "atlas_mask": [86, 94, 95], "atlas_ndarrai": 48, "atlas_relabel": [0, 46], "atlas_res_in_um": [15, 22], "atlas_spac": [0, 78, 93, 95], "atlas_split": [0, 60], "atlas_wirefram": [0, 48], "attempt": [18, 20], "attrdict": [27, 30, 76], "attribut": [27, 31], "austen": [0, 1], "autofl": [0, 32, 67], "autofl_": [0, 68, 70, 72], "autofl_50um": [53, 72], "autofl_50um_brain_mask": 95, "autofl_50um_mask": 97, "autofl_50um_masked_fixed_reg_input": [66, 97, 100], "autofl_50um_tif": 73, "autofluo": [0, 70], "autofluo_50_mask": 69, "autofluo_50um": 69, "autofluoresc": 0, "autom": 1, "automat": 86, "avail": [0, 65, 76, 77, 92], "averag": [0, 11, 31, 45, 49, 56, 67, 86, 87, 94, 95], "averagetimeperiterationcolumn": [30, 31, 76], "avg": [0, 1, 57, 76], "avg_img1": 11, "avg_img2": 11, "avoid": 77, "ax": [0, 28, 38, 41, 58, 67], "axi": [41, 67, 86, 87, 94], "axis_1": 58, "axis_2": 58, "axis_3": 58, "axis_ord": [32, 42], "b": [2, 6, 13, 74, 77, 92], "back": [1, 51], "background": [29, 45, 48, 54, 93], "backtick": 0, "backup": 2, "ball": [0, 29, 45, 54], "bar": [0, 31], "barbosa": 1, "base": [0, 1, 7, 8, 9, 11, 14, 20, 23, 25, 26, 27, 28, 29, 31, 46, 60, 81, 82, 85, 92], "base_path": [14, 17, 81], "basenam": 4, "bash": 2, "bashrc": [0, 1, 77], "basic": 0, "bbox": [1, 6, 29, 57, 76], "bc": [0, 67], "beauti": 26, "becaus": 4, "becom": 35, "been": [0, 23], "befor": [0, 2, 18, 19, 20], "being": [0, 11, 76, 77, 83], "below": 0, "beta": 0, "better": 72, "between": [0, 7, 8, 9, 13, 63, 97], "bheifet": 1, "bia": 67, "bias_correct": [67, 71, 76], "bilater": [0, 3, 11, 14, 18, 20], "bilinear": 29, "bin": [0, 2, 77], "binar": [0, 3, 35], "binari": [35, 48, 85], "binary_mask": 48, "bit": [43, 76], "blue": 0, "blur": 45, "bool": [28, 29, 31, 41, 59, 67, 80, 100], "boolean": [7, 8, 9, 20, 27], "bori": 1, "both": [0, 25, 26, 31, 76, 82, 91], "botleneck": 0, "bottom": [0, 51], "bound": [0, 5, 6, 29, 50], "boundari": 48, "bounding_box": 50, "box": [0, 5, 6, 29, 50], "bracket": 0, "brain": [1, 11, 19, 48, 61, 62, 67, 72, 76, 91, 95], "brain_mask": [0, 1, 75, 76], "brain_mask_ilp": 0, "brain_model": [1, 24, 76], "branch": 2, "bright": 0, "browser": 1, "bspline": 96, "build": 2, "button": 0, "bz2": 2, "c": [0, 2, 4, 7, 8, 9, 13, 60, 77, 84], "c1": [0, 7, 8, 9], "c2": [0, 7, 8, 9], "c3": 0, "calcul": [0, 7, 8, 9, 22, 60, 61, 62, 92], "calculate_frag": [76, 91, 92], "calculate_mean_intens": [61, 62, 65, 76], "calculate_padded_dimens": [76, 97, 99], "calculate_regional_cell_dens": [60, 65, 76], "calculate_regional_volum": [22, 24, 60, 65, 76], "calculate_resampled_padded_dimens": [76, 98, 99], "calculate_top_region": [23, 24, 76], "call": 77, "callabl": 56, "camel": 0, "can": [1, 2, 4, 23, 27, 31, 36, 72, 74, 77, 81, 82, 86, 94], "can_collaps": [23, 24, 76], "captur": 4, "case": [0, 20], "casei": 1, "cat": 0, "categori": 22, "cc3d": 1, "ccfv3": [0, 41], "cd": [0, 2, 61, 77], "cell": [0, 1, 5, 13, 16, 17, 18, 20, 60, 64], "cell_count": [5, 18, 20], "cell_dens": [5, 18, 20], "cell_density_data": 0, "cell_density_summary_for_valid_clust": 4, "cell_des": 60, "cellular": 1, "center": [1, 87], "central": 4, "certain": [76, 83], "cfo": [0, 74], "cfos_rb4_atlas_spac": 0, "cfos_seg": 74, "cfos_seg_ilastik_1": [0, 5], "chang": [0, 77, 82], "channel": 28, "chart": 0, "check": [0, 7, 8, 9, 20, 31, 68, 77, 88, 92], "check_fdr_command": [76, 91, 92], "choos": 0, "ci": [7, 8, 9, 15], "class": [25, 26, 27, 28, 31], "classif": [0, 29, 72, 74], "clean": [1, 80], "clean_tif_dir": [1, 76, 83], "clean_tifs_dir": [76, 80, 83], "cli": [76, 99], "click": 0, "clone": [2, 77], "close": 0, "cluster": [1, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 29, 57, 64, 76, 91], "cluster_": 15, "cluster_1": [7, 8, 9], "cluster_2": [7, 8, 9], "cluster_bbox": [5, 24, 76], "cluster_bbox_parallel": [5, 24, 76], "cluster_bbox_result": 5, "cluster_brain_model": [0, 3, 4], "cluster_column": 9, "cluster_crop": [0, 6], "cluster_data": 5, "cluster_fdr": [1, 11, 13, 19, 92], "cluster_fdr_rang": [1, 12, 92], "cluster_find_incongru": 13, "cluster_find_incongruent_clust": 0, "cluster_group_data": [0, 4, 14], "cluster_id": [5, 13, 18, 20, 29, 30, 76], "cluster_idx": 17, "cluster_index": [0, 4, 11, 15, 22, 23, 24, 76], "cluster_index_dir": 5, "cluster_index_img": 11, "cluster_index_nii": 11, "cluster_info": 23, "cluster_legend": [0, 4, 16], "cluster_list": [7, 8, 9], "cluster_mirror_indic": [1, 11, 19], "cluster_org_data": [0, 14, 17, 18, 24, 76], "cluster_pr": [0, 4, 18], "cluster_stat": [0, 1, 76], "cluster_summari": [1, 5, 21, 24, 76], "cluster_sunburst": [0, 22], "cluster_t": [0, 4, 16, 23], "cluster_valid": [1, 11, 14, 17, 19, 20, 22, 24, 76], "cluster_valid_results_1": 14, "cluster_valid_results_1_lh": 14, "cluster_valid_results_1_rh": 14, "cluster_valid_results_2": 14, "cluster_valid_results_2_lh": 14, "cluster_valid_results_2_rh": 14, "cluster_validation_data_df": [20, 24, 76], "cluster_validation_dir": 14, "cluster_validation_info": 21, "cluster_validation_summari": [18, 21], "cluster_validation_summary_t": 4, "cluster_validation_summary_tukei": 4, "cluster_volum": [18, 20], "cluster_volume_in_cubic_mm": 5, "clusters_path": 17, "code": [2, 22, 29, 38, 41, 64, 67], "codebas": 1, "col_num": 16, "col_w_label": 16, "cold": 1, "collabor": 1, "collaps": 23, "collapse_hierarchi": [23, 24, 76], "color": [3, 22], "color_arg": 64, "column": [0, 7, 8, 9, 13, 16, 18, 20, 22, 23, 31, 41, 63, 64, 81], "com": 2, "combin": 23, "command": [1, 2, 4, 5, 14, 18, 19, 20, 23, 25, 31, 32, 36, 42, 45, 62, 66, 70, 72, 76, 80, 81, 84, 92], "command_log": [0, 31], "comment": 27, "commit": 2, "common": [1, 76], "compact": 31, "compar": [9, 20], "comparison": [0, 4, 7, 8, 9, 13, 20, 92], "complet": [0, 31], "compon": 5, "compris": 22, "comput": [0, 2], "concaten": 21, "condit": [0, 4, 7, 8, 9, 18, 20, 60, 65, 74, 76, 81, 83, 85], "condition1_sample01_": [18, 20], "condition1_sample02_": [18, 20], "condition2_sample03_": [18, 20], "condition2_sample04_": [18, 20], "condition_1": [7, 8, 9], "condition_2": [7, 8, 9], "condition_column": [7, 8, 9, 20], "condition_prefix": 20, "condition_selector": [7, 8, 9, 10, 20, 24, 76], "config": [0, 1, 4, 30, 31, 76], "config_fil": 27, "config_path": 31, "configpars": 27, "configur": [2, 26, 27, 30, 31, 76, 77], "confirm": 2, "conflict": 77, "connect": [5, 60], "consid": [0, 20, 95], "consol": 26, "consolid": 14, "contain": [7, 8, 9, 14, 20, 22, 28, 29, 31, 48, 62, 64, 73, 80, 81, 97, 100], "content": [0, 31, 87], "context": 0, "context1": 0, "context2": 0, "contrast": [0, 11, 92], "contrast_vox_p_tstat1_q": 0, "control": [0, 4, 27, 63, 81, 84], "control_": 0, "control_avg": 0, "control_sample01_cell_density_data": 0, "control_sample01_cfos_rb4_atlas_space_z": 63, "control_sample01_fil": 81, "control_sample01_rb4_atlas_space_z": 0, "control_sample01_regional_cell_dens": 0, "control_sample02_cell_density_data": 0, "control_sample02_rb4_atlas_space_z": 0, "control_v_treat": 0, "control_v_treatment_vox_p_tstat1": 0, "control_v_treatment_vox_p_tstat1_q0": 0, "control_v_treatment_vox_p_tstat2": 0, "control_v_treatment_vox_p_tstat2_q0": 0, "conveni": 27, "convent": [0, 14, 18, 20, 29], "convers": [29, 35, 70], "convert": [0, 13, 33, 35, 39, 40, 44, 46, 89], "convert_dtyp": [35, 43, 76], "coordin": [28, 41, 60], "copi": [0, 4, 17, 31, 68, 69, 73, 76, 79, 83, 87, 96], "copy_fil": [30, 31, 76], "copy_nii_head": [76, 96, 99], "copy_specific_slic": [73, 75, 76], "copy_stats_fil": [17, 24, 76], "copy_tif": [0, 1, 75, 76], "core": [1, 76], "corr_factor": [7, 8, 9], "correct": [1, 7, 8, 9, 11, 12, 17, 67, 77, 92], "correl": 89, "correlation_map": 89, "correspond": 14, "could": 45, "count": [0, 5, 23, 60, 74], "count_cel": [5, 24, 76], "count_cells_in_region": [60, 65, 76], "count_fil": [74, 75, 76], "counterpart": 86, "cp": [4, 17, 21, 24, 76], "creat": [0, 2, 7, 8, 9, 14, 15, 20, 23, 28, 77, 92], "create_design_ttest2": [76, 91, 92], "criteria": 23, "criterion": 23, "crop": [0, 1, 5, 24, 29, 30, 76], "crop_outer_spac": [5, 24, 76], "csv": [1, 3, 4, 5, 7, 8, 9, 11, 13, 14, 15, 17, 18, 20, 21, 22, 46, 60, 61, 62, 63, 64, 81, 84], "csv_file": [18, 20, 81], "csv_path": 63, "csv_pattern": 21, "ctrl": 0, "cubic": 56, "curl": 2, "current": [0, 4, 5, 20, 32, 42, 56, 64, 68, 69, 81, 87], "custom": [22, 25, 26, 65, 76], "custom_atla": 63, "custommofncompletecolumn": [30, 31, 76], "customtimeelapsedcolumn": [30, 31, 76], "customtimeremainingcolumn": [30, 31, 76], "cvd": [0, 4, 17], "cwd": [32, 42], "czi": [0, 28, 33, 34, 36, 50, 56, 62, 70, 74, 93, 96], "czi_path": 28, "d": [0, 2, 35, 36, 56, 64, 70, 77, 79, 80], "d32525": 64, "d_type": 40, "dan": 0, "daniel": 1, "danrij": [1, 2], "dark": 31, "data": [1, 4, 7, 8, 9, 11, 15, 17, 18, 20, 22, 28, 29, 35, 38, 41, 56, 61, 62, 85, 87], "data_col": 20, "data_col_pool": 20, "data_column_nam": 18, "data_df": 20, "data_typ": [11, 15, 28, 35], "databas": 27, "database_config": 27, "datafram": [7, 8, 9, 16, 20, 23, 63, 64], "dataset": [1, 32], "dbarbosa": 1, "deactiv": 2, "decor": 31, "decreas": 13, "deep_avg": 0, "deeper": 23, "default": [28, 29, 31, 32, 41, 42, 56, 59, 62, 82, 85, 87, 96, 100], "defin": [1, 11, 25, 26, 27, 28], "define_zarr_to_nii_output": [43, 44, 76], "delet": [0, 4], "densens": 64, "densiti": [0, 1, 5, 7, 8, 9, 13, 17, 20, 60], "density_col": 20, "density_in_clust": [5, 24, 76], "density_in_cluster_parallel": [5, 24, 76], "density_typ": 17, "deped": 2, "depend": 56, "depth": [22, 23], "depth_": 22, "depth_col": 23, "descend": 23, "describ": [0, 7], "descript": [0, 1, 25, 26, 76], "design": [0, 25, 26, 92], "design_fts_path": 92, "desir": [0, 28, 96], "desired_axis_ord": [28, 32, 42], "dest": [17, 25, 26], "dest_dir": 79, "dest_path": 17, "destin": [17, 79], "detail": [0, 2, 31], "detect_outli": [88, 90, 91], "determin": [0, 23, 35, 41, 67, 77], "dev": 2, "deviat": [45, 95], "devnul": 66, "df": [7, 8, 9, 13, 20, 23, 63, 64], "df_collaps": 23, "df_origin": 23, "df_sort": 23, "df_w_rgb": 16, "di": 85, "diagnos": 77, "diagon": 41, "dict": [22, 27], "dictionari": [22, 27], "differ": [0, 13, 20, 45, 97], "difference_of_gaussian": [45, 57, 76], "diffus": 0, "dilat": [48, 85], "dilate_mask": [76, 85, 91], "dimens": [28, 36, 56, 85, 98], "dir": [1, 4, 5, 18, 20, 23, 31, 36, 60, 63, 68, 69, 70, 72, 73, 76, 78, 80, 82, 83, 93], "dir_nam": [0, 4, 81, 84], "direct": [0, 11, 13, 20, 41, 67, 85], "directioanl": 0, "directli": [24, 76], "directori": [0, 2, 4, 11, 14, 15, 16, 17, 20, 28, 31, 32, 36, 42, 64, 68, 69, 70, 72, 73, 74, 76, 78, 80, 81, 83, 96], "dirnam": [0, 4], "displai": [25, 26, 31], "distribut": 2, "distrubut": 0, "do": [0, 54, 64, 97], "doc": 0, "document": [0, 2, 77], "doe": [0, 1, 13, 20, 77], "dog": [1, 57, 76], "don": [28, 64], "done": 0, "doubl": [0, 64], "download": 2, "dr": 1, "drag": 0, "draw": 0, "drive": 2, "drop": 0, "drug": 0, "drug_sample01_atlas_space_z": 0, "dry_run": 82, "dsi": 0, "dsi_studio": 3, "dtype": [35, 85, 96], "dunnett": 64, "durat": 31, "dure": 0, "dynam": 23, "e": [0, 2, 4, 5, 7, 8, 9, 11, 12, 17, 20, 21, 25, 26, 36, 41, 45, 46, 51, 62, 63, 68, 69, 70, 74, 76, 77, 78, 80, 84, 91, 92, 93, 96, 97, 100], "each": [0, 4, 5, 7, 8, 9, 11, 14, 20, 22, 23, 31, 36, 56, 57, 60, 61, 62, 63, 64, 68, 69, 76], "earli": 1, "earliest": 23, "easi": 0, "easier": 0, "echo": 2, "edg": [45, 56], "edit": [0, 1], "edu": [1, 2], "effect": [0, 7, 8, 9, 11, 20], "effect_s": [0, 1, 24, 76], "effect_sizes_by_sex__absolut": [10, 24, 76], "effect_sizes_by_sex__rel": [10, 24, 76], "effect_sizes_sex_ab": [0, 8], "effect_sizes_sex_rel": [0, 9], "either": [28, 32, 41, 42], "elaps": 31, "elapsed_when_finish": 31, "element": 0, "els": 0, "empti": [0, 25, 26], "enabl": [31, 80], "encount": 77, "end": 31, "enhanc": [25, 26, 31], "enough": [0, 45], "ensur": [0, 23, 45], "enter": [0, 8, 9], "environ": [2, 77], "epilog": [25, 26], "error": [7, 8, 9, 20, 66], "essenti": 2, "establish": 23, "etc": [1, 2, 11, 20, 100], "ev": 0, "ev1": 0, "ev2": 0, "ev3": 0, "ev4": 0, "eval": 2, "everi": 35, "exact": [7, 8, 9, 20], "exactli": [7, 8, 9, 20], "exampl": [1, 2, 13, 14, 15, 18, 20, 22, 25, 26, 27, 31, 41, 64, 70, 77, 81, 93, 96], "exclud": [0, 74, 76, 91], "exec": [2, 4], "execut": [31, 77], "exist": 28, "exp": [1, 4, 70, 72], "exp1": 31, "exp2": 31, "exp_dir": 0, "exp_dir_path": 31, "exp_path": 36, "expect": [20, 77], "expected_higher_mean_group": 13, "expected_lower_mean_group": 13, "experi": [1, 5, 17, 31, 36, 62, 68, 69, 70, 72, 80], "explicit": 31, "explor": 1, "export": 2, "extend": [0, 1, 27, 57, 76], "extend_one_side_3d_arrai": [51, 57, 76], "extens": [51, 56, 80], "extern": 0, "extra": [0, 2], "extract": [0, 28, 43, 76], "extract_resolut": [28, 30, 76], "extract_unique_regions_from_fil": [16, 24, 76], "extrem": 0, "ey": 0, "f": [0, 4, 8, 9, 63, 66, 67, 81, 97, 100], "f1": 0, "f2": 0, "f3": 0, "face": 0, "factor": 67, "fals": [22, 23, 27, 28, 29, 31, 32, 41, 42, 59, 63, 67, 73, 78, 82, 98, 100], "faster": [0, 65, 76], "fdr": [0, 1, 12, 24, 76, 89, 92], "fdr_path": 11, "fdr_rang": [0, 1, 24, 76], "featur": [0, 1, 45, 54, 74], "fiber": 0, "field": 67, "file": [0, 2, 4, 5, 14, 16, 17, 18, 19, 20, 22, 27, 28, 29, 31, 32, 33, 36, 41, 42, 45, 48, 50, 52, 54, 60, 61, 62, 63, 73, 74, 76, 77, 79, 80, 81, 83, 84, 94, 100], "file_path": [16, 19, 28, 31, 52], "filenam": [0, 31, 81, 82], "fill": 0, "fill_na_with_last_known": [23, 24, 76], "filter": [0, 56, 63], "filter_datafram": [7, 8, 9, 10, 24], "filter_func": 56, "filter_region_id": [63, 65, 76], "final": [0, 100], "find": [0, 4, 13, 21, 29, 32, 42, 48, 52], "find_and_copy_fil": [76, 79, 83], "find_bounding_box": [29, 30, 76], "find_incongruent_clust": [1, 24, 76], "find_largest_h5_fil": [32, 43, 76], "find_largest_tif_fil": [42, 43, 76], "find_matching_directori": [17, 24, 76], "find_max_intens": [52, 57, 76], "first": [4, 18, 20, 32, 41, 45, 63], "fisher": 89, "fix": [0, 35, 77, 96, 97, 100], "fixed_imag": 66, "fixed_image_path": 66, "fixed_img_path": [97, 100], "fixed_reg_in": [96, 97, 98], "fixed_scal": 35, "fixed_scale_rang": 35, "flag": [0, 22, 27, 92], "flank": 64, "flip": [0, 87], "float": [11, 12, 28, 35], "float32": [28, 35, 95], "float64": 35, "flourish": 22, "fluoresc": 1, "fo": [0, 85], "focu": 25, "folder": [1, 14, 36, 62, 70, 74, 80, 81, 97, 100], "follow": [0, 2, 4, 14, 77, 81, 84], "foreground": 0, "form": 0, "form_cod": 41, "format": [0, 4, 12, 25, 26, 28, 84], "formatter_class": [25, 26], "forward": [76, 97, 99], "forward_warp": [76, 97, 99], "fos_rb4_gubra_space_z_lravg": 78, "fos_seg_ilastik": 85, "fos_seg_ilastik_2": 85, "fos_wo_halo": 85, "found": [2, 7, 8, 9, 20, 28, 31], "fragment": 92, "fri": 97, "from": [0, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 84, 86, 87, 91, 92, 93, 94, 95, 96, 97, 98, 100], "front": 51, "fsl": [0, 1, 2, 92], "fslconf": 2, "fsldir": 2, "fsley": 0, "fsleyes_lut": 0, "fslpy": 1, "fstat": 0, "fstat1": 0, "fstat2": 0, "fstat3": 0, "full": [0, 28, 31, 32, 42, 62, 70, 75, 76, 85, 97, 98], "full_res_dim": [85, 98], "full_res_img": [0, 36], "func": 31, "function": [0, 7, 8, 9, 20, 29, 30, 31, 56, 76], "fund": 1, "fuse": 0, "futur": [2, 45], "g": [0, 2, 4, 7, 8, 9, 11, 12, 13, 20, 21, 41, 45, 46, 63, 74, 76, 91, 92, 96, 97, 100], "g1": 45, "g2": 45, "gap": 0, "gaussian": [0, 45], "gener": [0, 11, 15, 22, 48, 63], "generate_summary_t": [18, 24, 76], "generate_sunburst": [15, 24, 76], "generate_wirefram": [47, 48, 57], "get": [0, 5, 29, 31, 34, 38, 41, 60, 88], "get_all_region_id": [63, 65, 76], "get_atlas_region_at_coord": [60, 65, 76], "get_dims_from_tif": [36, 43, 76], "get_dir_name_from_arg": [30, 31, 76], "get_fill_color": [23, 24, 76], "get_groups_info": [76, 91, 92], "get_max_region_id_from_csv": [63, 65, 76], "get_region_detail": [63, 64, 65, 76], "get_sampl": [30, 31, 76], "get_top_regions_and_percent_vol": [23, 24, 76], "git": 2, "github": [1, 2, 74, 77, 92], "given": [11, 15, 27, 31, 48, 60, 85], "glm": 0, "glob": [0, 28, 36, 70, 79, 93, 96], "global": 27, "go": [0, 2], "googl": [0, 2], "gov": [0, 7], "gradient": 0, "greater": [20, 59, 85], "green": 31, "gregori": 1, "group": [0, 4, 7, 8, 9, 11, 13, 20, 23, 63, 64, 92], "group1": [0, 4, 11, 20, 63, 64], "group1_avg": 11, "group1_siz": 92, "group2": [0, 4, 11, 20, 63, 64], "group2_avg": 11, "group2_siz": 92, "group3": [20, 63], "group4": 20, "group_1": 63, "group_2": 63, "group_3": 63, "group_bilateral_data": [1, 24, 76], "group_column": 64, "group_hemisphere_data": [14, 24, 76], "groupa": 13, "groupb": 13, "gubra": [1, 66, 87], "gubra_ano_25um_bin": 0, "gubra_ano_combined_25um": 0, "gubra_ano_split_25um": [0, 3], "gubra_mask_25um_wo_ventricles_root_fibers_lh": 0, "gubra_mask_25um_wo_ventricles_root_fibers_rh": 0, "gubra_template_25um": [0, 66], "gui": 0, "guid": [1, 2, 74, 92], "guidanc": 1, "gz": [0, 3, 5, 6, 11, 12, 15, 19, 20, 22, 28, 29, 34, 35, 36, 37, 38, 39, 40, 41, 44, 46, 48, 49, 50, 52, 53, 55, 56, 59, 60, 61, 62, 63, 66, 67, 68, 69, 70, 72, 78, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "h": [0, 77], "h5": [0, 28, 32, 34, 36, 56, 70, 93, 96], "h5_to_tif": [1, 43, 76], "ha": [0, 13, 18, 20, 23, 32, 41, 63, 77], "handl": [0, 7, 8, 9, 20, 25, 26, 28, 31], "has_hemispher": 20, "have": [0, 1, 4, 11, 31, 45, 67, 77, 81, 84], "hdf5": [28, 32], "hdf5_path": [28, 32], "header": [0, 37, 96], "headless": 0, "hedg": [7, 8, 9], "hedges_g": [7, 8, 10, 24], "heifet": [0, 1, 2, 74, 77, 92], "heifetslab": [1, 2], "help": [1, 13, 25, 26, 45, 74, 77], "helper": [30, 76], "helpformatt": 25, "hemi": [0, 64], "hemi_to_lr_avg": [0, 1, 76, 91], "hemispher": [0, 11, 14, 20, 86, 95], "here": [0, 2, 7], "hex": 64, "hg": [4, 20], "hidden": [0, 31], "hide": 0, "hierarchi": [22, 24, 76], "higher": 0, "higher_group": 4, "higher_mean_group": [13, 20], "highest": 32, "highlight": 45, "histori": [0, 2], "hold": 27, "home": [0, 2], "hot": 1, "how": 92, "hsd": 20, "html": [74, 92], "http": [0, 2, 7, 22, 74, 77, 92], "hypothesi": 20, "i": [0, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 20, 22, 23, 25, 26, 28, 29, 31, 32, 33, 34, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 65, 67, 70, 72, 73, 74, 76, 77, 80, 83, 84, 85, 87, 89, 92, 93, 95, 96, 97, 98, 100], "iba1_rb20": 85, "iba1_rb20_clust": 85, "iba1_seg_ilastik_2": 85, "ic": 46, "id": [0, 3, 11, 13, 15, 18, 22, 29, 46, 48, 63, 64], "ideal": [0, 45], "identifi": [23, 77], "idisco": [0, 1], "if_img": 62, "if_outli": [76, 90, 91], "ilastik": [1, 2, 29, 70, 72, 73, 74], "ilastik_brain_mask": [0, 73], "ilastik_log": 29, "ilastik_pixel_classif": [0, 1, 75, 76], "ilastik_project": [29, 74], "ilastik_segment": [0, 73], "ilp": [0, 72, 74], "imag": [3, 5, 6, 11, 15, 22, 28, 29, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59, 60, 61, 62, 67, 70, 74, 75, 76, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 97, 98, 100], "image_io": [0, 1, 76], "image_nam": 61, "image_path": 67, "image_pir": 41, "image_pir_appli": 41, "image_to_warp_from_atlas_spac": 98, "image_tool": [0, 1, 76], "img": [0, 6, 15, 19, 22, 35, 37, 38, 40, 44, 45, 50, 54, 58, 85, 87, 95, 96, 98], "img_avg": [1, 11, 49], "img_bbox": [0, 50], "img_crop": 6, "img_dog": [0, 45], "img_extend": [0, 51], "img_in_atlas_spac": 96, "img_io": [1, 30, 76], "img_max": [0, 52], "img_pad": [0, 53], "img_path": [28, 40, 44], "img_rb": [0, 54], "img_resampl": [0, 55, 70], "img_spatial_avg": [0, 56], "img_to_npi": [1, 43, 76], "img_tool": [1, 30, 76], "img_transpos": [0, 58], "img_uniqu": [0, 59, 63], "img_wb": 3, "immunofluo": [0, 93], "immunofluoresc": [0, 1, 61, 62, 75, 76], "immunolabel": 0, "immunostain": 11, "implement": 45, "import": [25, 26, 27, 31, 66, 98], "improv": [0, 2, 25], "inactiv": 84, "includ": [28, 31, 70], "incongru": 13, "increas": [0, 13, 31, 80], "indent": [25, 26], "indent_incr": [25, 26], "index": [0, 1, 3, 5, 11, 24, 29, 76], "indic": [0, 11, 13, 19, 20, 35, 41], "individu": 23, "inferior": 41, "info": [1, 17, 21, 31, 74, 92, 96], "inform": [2, 7, 11], "inherit": [25, 26], "ini": [0, 4, 27, 31], "init": 2, "initi": [0, 1, 2, 25, 26, 27, 29, 31], "initialize_progress_bar": [30, 31, 76], "inlin": 27, "innacuraci": 0, "inp": [67, 100], "input": [0, 3, 7, 8, 9, 11, 12, 13, 15, 16, 18, 20, 22, 28, 32, 34, 35, 36, 41, 42, 45, 46, 54, 56, 59, 63, 67, 70, 72, 86, 92, 93, 94, 95, 96, 97, 100], "input_imag": 55, "input_image_path": 92, "input_img": [59, 95], "input_img_lh": 86, "input_img_lravg": [86, 94], "input_img_rh": 86, "input_img_s100_lravg": 86, "input_name_rev_cluster_index": 11, "input_nii_path": 28, "input_path": [11, 12, 22], "input_sunburst": 22, "insid": 48, "inspir": 1, "instal": [0, 1, 77], "instanc": 77, "instead": [0, 45, 77], "institut": 1, "instruct": [0, 2], "int": [26, 28, 29, 41, 56, 59, 67, 87], "int16": 35, "int32": 35, "int64": 35, "int8": 35, "integ": 35, "intend": 45, "intens": [0, 11, 13, 29, 35, 46, 48, 52, 57, 60, 61, 62, 63, 76, 88, 91, 95], "interact": 0, "interest": [0, 1, 7, 8, 9, 20, 45, 54], "interior": [0, 67], "intern": 48, "interpol": [29, 85, 96, 97, 98, 100], "introduc": 13, "inv": 100, "invers": [76, 99], "invoc": [25, 26], "invok": 77, "involv": 80, "io": [74, 77, 92], "io_h5_to_tif": [0, 32], "io_img": [0, 1, 43, 76], "io_img_to_npi": [0, 33], "io_metadata": [0, 36, 98], "io_nii": [0, 1, 43, 76], "io_nii_hd": [0, 37], "io_nii_info": [0, 38], "io_nii_to_tif": [0, 39], "io_nii_to_zarr": [0, 40], "io_reorient_nii": [0, 41], "io_tif_to_tif": [0, 42], "io_zarr_to_nii": [0, 44], "is_fil": 28, "isol": 0, "issu": [2, 77], "item": 31, "iter": [31, 85], "its": [27, 28, 37, 38, 41, 48, 52, 56, 93, 94], "j": 0, "k": [0, 86, 92, 94], "keep": [0, 45, 77], "kei": [22, 27, 81], "kernel": [0, 56, 86, 94], "kernel_s": 56, "kill": 66, "kwarg": [25, 26, 31], "l": [0, 13, 41, 67], "lab": [0, 1], "label": [0, 1, 5, 13, 16, 17, 18, 20, 22, 46, 63, 72, 74], "label_dens": [5, 18, 20], "label_volum": [18, 20], "larg": [0, 7, 8, 9], "larger": [0, 23, 45, 54], "largest": [0, 11, 32, 42, 48], "last": [0, 20, 92], "latest": 2, "launch": 0, "layer": 0, "lead": 1, "learn": 0, "least": 45, "leav": 54, "left": [0, 14, 41, 51, 67], "legaci": 29, "legend": [0, 1, 4, 24, 76], "len": 31, "less": [0, 20, 54, 85], "letter": [29, 38, 41, 67], "level": [0, 22, 23], "lh": [0, 20], "lh_file": 86, "libbz2": 2, "libffi": 2, "liblzma": 2, "libncurses5": 2, "libncursesw5": 2, "librari": [25, 26], "libreadlin": 2, "libsqlite3": 2, "libssl": 2, "lightsheet": [0, 1], "like": [27, 38], "likewis": 4, "line": [0, 1, 2, 25, 31, 62], "linear": [67, 96, 100], "link": [0, 2], "linux": [0, 1], "list": [1, 5, 7, 8, 9, 12, 17, 20, 29, 31, 48, 59, 64, 68, 69, 70, 73, 77, 84], "list_of_exp_dir_path": 84, "live": 0, "llvm": 2, "load": [0, 5, 6, 28, 31, 32, 34, 37, 38, 42, 45, 50, 51, 52, 54, 56, 59, 70, 85, 87, 88, 93], "load_3d_img": [28, 30, 76], "load_3d_tif": [42, 43, 76], "load_config": [30, 31, 76], "load_czi": [28, 30, 76], "load_data": [63, 65, 76], "load_h5": [28, 30, 32, 43, 76], "load_image_metadata_from_txt": [28, 30, 76], "load_mask": [76, 85, 91], "load_nii": [28, 30, 76], "load_nii_orient": [28, 30, 76], "load_nii_subset": [28, 30, 76], "load_text_from_fil": [30, 31, 76], "load_tif": [28, 30, 45, 54, 57, 76], "load_zarr": [28, 30, 76], "local": [2, 66], "locat": [0, 2, 4, 77], "log": [1, 31], "log_command": [30, 31, 76], "long_nam": 17, "longer": 0, "look": 63, "loop": 20, "lower": [0, 70], "lp": 41, "lsfm": [0, 1], "lut": [0, 63], "m": [0, 2, 3, 5, 8, 9, 19, 59, 60, 66, 67, 77, 80, 85, 88, 97, 98, 100], "m2": 67, "ma": [0, 11, 12, 85, 92], "maco": 0, "mai": [0, 13, 54, 87, 94], "main": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100], "main_effect_": 0, "maintain": [1, 23], "mainten": 1, "make": [1, 2, 4, 11, 77, 82], "make_par": 28, "malenka": 1, "manag": [2, 25, 26], "map": [0, 1, 11, 12, 13, 89], "mask": [0, 5, 11, 12, 48, 67, 69, 72, 76, 86, 88, 91, 92, 94], "mask_condit": 85, "mask_ndarrai": 85, "mask_path": [11, 12, 67, 85, 92], "mat_fil": 92, "match": [0, 7, 8, 9, 13, 17, 20, 21, 29, 31, 70, 79, 81, 85, 88, 93, 96, 98, 100], "matrix": [0, 28, 38, 41, 92], "max": [0, 1, 35, 57, 76], "max_cluster_id": 11, "max_decim": 12, "max_help_posit": [25, 26], "max_region_id": 63, "max_valu": 23, "maximum": [52, 63], "mdma": [0, 64, 84], "mdma_sample01": [0, 64], "mean": [0, 13, 56, 61, 62, 63, 76, 77, 88, 91, 95], "mean_if_in_seg": 62, "mean_if_intens": 63, "mean_intensities_dict": 62, "mean_intensity_in_brain": [76, 85, 91], "mean_intensity_within_mask": [88, 90, 91], "mean_std_count": [9, 10, 24], "meandiff": 64, "meaning": 23, "means_in_mask_plot": 88, "measur": [0, 5, 61, 62], "medium": [7, 8, 9], "meet": 23, "mehrdad": 1, "member": 0, "memori": 31, "menu": 2, "messag": [25, 26, 66], "met": 23, "metacel": 1, "metadata": [0, 1, 28, 30, 32, 34, 42, 43, 76, 98], "metadata_from_3d_tif": [42, 43, 76], "metadata_from_h5": [32, 43, 76], "metadata_path": 36, "metadata_rel_path": 98, "metavar": [25, 26], "meth": [0, 64], "meth_sample23": [0, 64], "method": [2, 25, 26, 27, 45], "mi": 96, "microglia": [76, 91], "micron": [0, 15, 22, 28, 29, 32, 36, 42, 70], "microscopi": 1, "microsoft": 2, "mid": 0, "middl": 0, "might": 45, "mimic": [29, 70], "min": [35, 57, 76], "min_cluster_size_in_voxel": [0, 11], "min_ext": [29, 59], "min_siz": 11, "minext": 29, "minim": 0, "minimum": 23, "minu": 0, "miracl": [1, 29, 70, 98], "mirror": [0, 1, 11, 19, 76, 86, 91, 94], "misc": 0, "miss": 0, "mm": [0, 22], "mode": [0, 29, 31], "model": 0, "modifi": [25, 26], "modul": [0, 1, 10, 24, 30, 43, 47, 57, 65, 71, 75, 83, 90, 91, 99], "mofncompletecolumn": 31, "more": [2, 54], "most": 0, "mous": 0, "move": [0, 14, 23, 80, 97], "moving_imag": 66, "moving_image_path": 66, "moving_img": [5, 97], "moving_img_path": [97, 98, 100], "much": 0, "multilabel": [96, 97, 100], "multipl": [4, 25, 26, 29, 92], "multipli": 3, "must": [0, 56], "mv": 2, "n": [2, 82, 95], "n4": 67, "name": [1, 4, 5, 7, 8, 9, 11, 14, 16, 17, 18, 20, 31, 63, 64, 76, 80, 83, 84, 96], "namespac": [25, 26, 62], "narg": [25, 26], "nativ": [0, 29, 65, 76, 96, 98], "native_": 98, "native_atlas_split": [0, 60], "native_cluster_index": 5, "native_cluster_index_crop": 5, "native_img": 98, "navig": [0, 2], "ncbi": [0, 7], "ndarrai": [11, 15, 22, 28, 29, 32, 33, 35, 40, 41, 42, 44, 45, 48, 51, 54, 56, 58, 60, 62, 67, 70, 85, 87, 89, 95, 98], "ndarray_axis_ord": [28, 32, 42], "ndimag": 70, "nearest": [85, 98], "nearestneighbor": [96, 100], "necessari": 31, "need": [0, 4, 11, 27, 43, 45, 63, 76, 81, 87, 97], "neg": 41, "neighbor": [0, 56, 85, 98], "neither": [7, 8, 9, 20], "new": [0, 1, 2, 14, 17, 19, 23, 41, 77], "new_affin": 41, "new_imag": 46, "new_img": 96, "new_nii": 41, "new_text": 82, "new_valu": 85, "next": [0, 5, 11, 32, 36, 42, 60, 61, 62, 67, 70, 72, 92, 93, 94, 95], "nfi": 2, "ngregori": 1, "nibabel": [1, 37, 38, 41], "nick": 1, "nida": 1, "nifti": [0, 15, 28, 29, 38, 41, 48, 49, 52], "nifti1": 41, "nifti1imag": 41, "nih": [0, 7], "nii": [0, 3, 5, 6, 11, 12, 15, 19, 20, 22, 28, 29, 34, 35, 36, 37, 38, 39, 40, 41, 44, 46, 48, 49, 50, 52, 53, 55, 56, 59, 60, 61, 62, 63, 66, 67, 68, 69, 70, 72, 78, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "nii_axis_cod": [38, 43, 76], "nii_hd": [1, 43, 76], "nii_img": 96, "nii_info": [1, 43, 76], "nii_path": [28, 39, 41], "nii_to_ndarrai": [40, 43, 76], "nii_to_tif": [1, 43, 76], "nii_to_zarr": [1, 43, 76], "nlm": [0, 7], "node": 0, "nois": [0, 45, 54], "non": [0, 11, 13, 41, 57, 76, 80], "none": [6, 11, 20, 23, 25, 26, 28, 29, 31, 35, 41, 61, 63, 67, 85, 86, 94, 97, 98], "nor": [7, 8, 9, 20], "notabl": 0, "note": [1, 25, 26, 27, 44, 60], "now": 64, "np": [28, 41, 48, 56, 62, 70, 87, 89, 98], "npy": 33, "nuclei": [0, 45], "null": 2, "nullifi": 0, "num_contrast": 92, "num_group": 64, "num_of_items_to_iter": 31, "number": [0, 5, 16, 23, 56, 57, 60, 73, 74, 76, 85, 87, 92], "numpi": [0, 1, 28, 29, 35, 48, 56], "o": [0, 4, 5, 6, 11, 21, 33, 34, 39, 40, 44, 46, 49, 50, 51, 55, 56, 66, 73, 74, 82, 85, 88, 93, 96, 97, 98, 100], "object": [0, 5, 20, 27, 31, 60], "oc": 46, "ochann": [51, 93, 96], "ochann_extend": 51, "ochann_rb4_atlas_spac": 93, "odt": 46, "off": 0, "often": [0, 72], "ok": [0, 4], "old_imag": 46, "old_text": 82, "om": [34, 56, 80], "one": [0, 4, 13, 20, 45, 51], "onli": [4, 23], "onlin": 0, "op": 92, "open": [2, 66], "opencv": [29, 45, 54], "openpyxl": 16, "openssl": 2, "oper": [0, 2, 82], "optim": 0, "option": [1, 17, 20, 22, 25, 26, 28, 29, 32, 35, 42, 59, 64, 67, 76, 77, 85, 91], "option_str": [25, 26], "orang": 31, "order": [0, 4, 23, 28, 29, 63, 67, 70, 77, 98], "org": 2, "org_data": [1, 24, 76], "organ": [0, 14, 17, 18, 20, 74, 77], "organize_validation_data": [17, 24, 76], "orient": [28, 29, 38, 41, 44, 67], "orientation_str": 29, "origin": [14, 29, 41, 77, 87], "original_dimens": [97, 98], "ort": [0, 67], "ort_cod": 67, "other": [0, 1, 2, 4, 11, 19, 32, 35, 42, 54, 76, 87, 91], "other_mask": 85, "otherwis": [0, 23], "our": 87, "out": [0, 1, 66, 76, 91], "out_dir": 64, "outer": 5, "outer_bound": 5, "outer_xmax": 5, "outer_xmin": 5, "outer_ymax": 5, "outer_ymin": 5, "outer_zmax": 5, "outer_zmin": 5, "outlier": 88, "outlin": 48, "output": [0, 1, 3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 26, 28, 32, 34, 36, 41, 42, 44, 48, 56, 60, 61, 62, 63, 64, 67, 70, 72, 86, 89, 93, 94, 95, 96, 97, 98], "output_dir": [11, 15, 29, 39, 67], "output_fil": 61, "output_file_path": 29, "output_imag": 55, "output_img": 6, "output_index": 11, "output_nam": [74, 92], "output_path": [5, 22, 28, 40, 44, 45, 54, 62, 100], "output_prefix": 92, "output_rgb_lut": 22, "outsid": [0, 48], "outward": 0, "over": 0, "overrid": 22, "p": [0, 11, 12, 13, 17, 20, 41, 64, 67, 79, 88, 89, 92], "p50": 1, "p_val_txt": 17, "p_value_threshold": [0, 11], "packag": [0, 1, 77], "pad": [0, 1, 29, 30, 56, 57, 67, 76, 97, 100], "pad_fract": [97, 98], "pad_width": 29, "page": [0, 1, 2], "paint": 0, "pan": 0, "panda": 1, "parallel": [0, 5, 28, 29, 56], "parallel_load": 28, "param": [7, 8, 9], "paramet": [0, 7, 8, 9, 11, 12, 15, 16, 17, 20, 22, 23, 26, 28, 29, 31, 32, 35, 36, 41, 42, 48, 56, 59, 62, 64, 67, 70, 73, 80, 82, 85, 87, 95, 96, 98, 100], "parent": [0, 23, 28, 80], "pars": [25, 27], "parse_arg": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100], "parse_color_argu": [64, 65, 76], "parser": [25, 26], "part": 0, "pass": [0, 92], "password": 2, "past": 22, "path": [1, 2, 3, 4, 5, 6, 11, 12, 15, 17, 21, 22, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 46, 48, 50, 52, 56, 58, 59, 60, 61, 62, 63, 67, 70, 72, 73, 74, 77, 79, 80, 81, 84, 88, 89, 92, 93, 95, 96, 97, 98, 100], "path_or_pattern": 28, "path_to_tif_dir": 80, "pathlib": 31, "pattern": [0, 17, 28, 31, 36, 78, 79, 88], "pd": [7, 8, 9, 20], "pdf": 88, "pearson": 89, "pennmedicin": 1, "per": [31, 74], "percent": 53, "percent_vol": 23, "percent_vol_threshold": 23, "percentag": [23, 29], "perform": [0, 11, 12, 20, 54, 63, 67, 82, 94, 95], "perform_t_test": [63, 65, 76], "perform_tukey_test": [20, 24, 76], "period": 2, "permut": 92, "permutations_per_frag": 92, "pi": 1, "pip": [0, 1, 2, 77], "pir": 41, "pixel": [0, 29, 45, 56, 72, 74, 95], "pixel_classif": [29, 30, 76], "place": 12, "placehold": 0, "plane": 28, "plaqu": 0, "pleas": [0, 1], "plot": [0, 4, 15, 18, 22, 63, 64, 88], "plot_data": [63, 65, 76], "point": [35, 77], "pool": [7, 8, 9, 14, 18, 20], "posit": [0, 41, 67], "possibl": 35, "posterior": [0, 41, 67], "powershel": 2, "pre": 0, "precis": 85, "predict": 0, "prefer": [2, 77], "prefix": [0, 7, 8, 9, 20, 77, 81], "prep": [3, 75, 76], "prepar": [0, 70], "prepend": [0, 31, 76, 81, 83, 84], "prepend_condit": [0, 1, 76, 83], "preprocess": [0, 70], "prereq": [22, 23, 60, 63, 67, 72, 92, 93, 94, 95, 96, 98, 100], "present": [0, 7, 8, 9, 20, 57, 76], "preserv": [0, 44, 76, 91], "press": 0, "prevent": 0, "preview": [0, 22], "previou": 23, "print": [0, 1, 17, 27, 29, 31, 37, 38, 52, 57, 67, 76, 82], "print_dir": 31, "print_func_name_args_tim": [30, 31, 76], "print_id": 29, "print_metadata": [36, 43, 76], "print_siz": [29, 59], "prior": 0, "priorit": 23, "prism": [0, 1, 4, 24, 76], "probability_threshold": 11, "probabl": 11, "process": [0, 4, 11, 19, 20, 29, 31, 48, 56, 66, 70, 93, 96], "process_and_plot_data": [64, 65, 76], "process_fdr_and_clust": [11, 24, 76], "process_fil": [19, 24, 76], "process_intens": [47, 48, 57], "process_slic": [29, 30, 76], "profil": 0, "prog": [25, 26], "progress": 31, "progresscolumn": 31, "project": [1, 2, 72, 74, 77], "prompt": 2, "properti": 0, "provid": [0, 1, 5, 11, 27, 31, 35, 36, 63, 70, 80, 85, 98], "psilocybin": [7, 8, 9, 20], "psilocybin_v_saline_tstat1_q": 4, "public": 1, "pubm": [0, 7], "pull": [0, 2], "punctat": 0, "pwd": 0, "py": [0, 21, 88, 89], "pyenv": 2, "pyenv_root": 2, "pypi": [1, 2], "pyproject": [0, 77], "python": [1, 2, 71, 76, 99], "python3": 2, "q": [0, 11, 12], "q_valu": [0, 11, 12], "qc": [68, 69], "qform": 41, "qualiti": 0, "quantif": 1, "quantifi": [0, 5, 60], "question": [1, 2], "queue": 66, "quickli": 0, "quot": 64, "r": [0, 26, 41, 64, 67, 72, 81, 82, 97], "r_to_p": [76, 90, 91], "r_to_z": [89, 90, 91], "ra": [29, 38, 41, 44], "radii": 54, "radiu": [0, 29, 45, 54], "rais": [7, 8, 9, 20], "random": 0, "randomis": [0, 92], "randomise_parallel": [0, 92], "rang": [0, 35], "rate": 20, "ratio": 45, "raw": [1, 4, 62], "raw_data_for_t": 4, "raw_tif_dir": [0, 73], "rawconfigpars": 27, "rb": [0, 1, 57, 76, 93], "re": [0, 29, 32, 42, 55, 70, 77, 85], "reach": 1, "read": 27, "readabl": 25, "readi": 11, "recommend": 0, "rectangl": 0, "recurs": [0, 19, 21, 81, 82], "recursively_mirror_rev_cluster_indic": [0, 1, 24, 76], "recus": 79, "red": [0, 31], "refer": [0, 28, 100], "refin": 0, "reflect": [13, 20], "reg": [1, 60, 70, 71, 72, 76, 77, 93, 96, 100], "reg_affine_initi": [0, 66], "reg_check": [1, 67, 71, 76], "reg_check_brain_mask": [0, 1, 71, 76], "reg_input": [0, 53, 67, 70, 72, 73, 97], "reg_output": [0, 66, 67, 97, 98, 100], "reg_outputs_path": [66, 97, 100], "reg_prep": [1, 32, 36, 42, 60, 67, 71, 72, 76], "reg_r": [70, 98], "reg_result": 0, "regard": 60, "region": [1, 3, 13, 16, 22, 23, 29, 48, 60, 61, 62, 63, 64], "region_abbr": 64, "region_id": [0, 60, 62, 63, 64], "region_intens": 63, "region_nam": 64, "region_stat": [0, 1, 76], "regional_cell_dens": 0, "regional_cell_densities_summari": 0, "regional_counts_df": 60, "regional_stat": 60, "regional_volumes_df": 60, "regist": [0, 1, 76, 77], "registr": [1, 29, 32, 36, 42, 68, 70, 71, 72, 76, 96, 100], "reinstal": [0, 77], "rel": [0, 2, 5, 9, 13, 28, 36, 70, 93, 96], "rel_path": [0, 36, 60], "rel_path_to_src_fil": 78, "relabel": 0, "relabel_nii": [47, 57, 76], "relat": 0, "related": 77, "relative_hedges_g": [9, 10, 24], "releas": 2, "relev": 4, "reli": [25, 26], "reload": 77, "remain": [0, 31], "remot": 0, "remov": [0, 14, 54, 63, 84], "remove_zero_intensity_region": [63, 65, 76], "renam": [0, 1, 65, 76, 77, 81, 83], "rename_dir": 81, "rename_fil": [76, 81, 82, 83], "rename_item": [76, 81, 83], "rename_typ": 82, "render": 31, "reopen": 0, "reorder": [65, 76], "reorient": [0, 29, 41, 70], "reorient_for_raw_to_nii_conv": [29, 30, 76], "reorient_ndarrai": [29, 30, 76], "reorient_ndarray2": [29, 30, 76], "reorient_nii": [1, 43, 76], "replac": [0, 11, 76, 80, 82, 91], "repo": [0, 1, 2, 77], "repo_root_dir": 0, "repositori": [0, 1, 2], "repres": [23, 31, 76, 91], "request": 28, "requir": 56, "rerun": 4, "resampl": [0, 1, 29, 30, 57, 67, 70, 76], "resolut": [0, 15, 22, 28, 29, 32, 42, 56, 62, 70, 75, 76, 97, 98], "resolv": [28, 31, 77], "resolve_path": [28, 30, 76], "respect": [0, 4], "restart": 2, "restrict": 85, "result": [0, 4, 5, 14, 20, 60, 64, 88], "retain": 28, "retriev": 63, "return": [5, 7, 8, 9, 11, 20, 22, 23, 27, 28, 29, 31, 32, 35, 38, 41, 42, 45, 48, 54, 56, 59, 62, 64, 67, 70, 85, 98], "return_3d_img": [28, 30, 76], "return_metadata": 28, "return_r": [28, 32, 42], "rev_cluster_index": [0, 15, 17, 20, 22], "rev_cluster_index_img": 11, "rev_cluster_index_to_warp_from_atlas_spac": [0, 5], "rev_cluster_index_valid_clust": 15, "revers": [0, 11], "reverse_clust": [11, 24, 76], "reverse_reorient_for_raw_to_nii_conv": [29, 30, 76], "review": [0, 2], "rf": 4, "rgb": [16, 22], "rgba": 3, "rh": [0, 19, 20], "rh_file": 86, "rh_mask": 95, "rhz": 95, "rich": [26, 31], "rich_argpars": 26, "richhelpformatt": 26, "right": [0, 14, 41, 51, 67], "rijsket": 1, "rlapsi": 29, "rm": 4, "ro": [97, 100], "roll": [0, 29, 45, 54], "rolling_ball_subtract": [54, 57, 76], "rolling_ball_subtraction_opencv_parallel": [29, 30, 76], "root": [0, 4], "roughli": [0, 77], "row": [0, 7, 8, 9, 20, 23, 41, 81], "rp": 0, "rstat": [1, 65, 76], "rstats_if_mean": 63, "rstats_if_mean_in_seg": 63, "rstats_mean_if": [0, 1, 65, 76], "rstats_mean_if_in_seg": [0, 62], "rstats_mean_if_in_segmented_voxel": [1, 65, 76], "rstats_mean_if_summari": [0, 1, 61, 62, 65, 76], "rstats_summari": [1, 60, 65, 76], "run": [2, 11, 14, 19, 23, 24, 36, 58, 62, 66, 70, 72, 74, 76, 77, 80, 92, 93, 94, 95, 97], "run_ilastik": 2, "run_randomise_parallel": [76, 91, 92], "run_script": [4, 24, 76], "run_with_timeout": [66, 71, 76], "ryskamp": 1, "sa": 3, "salin": [0, 7, 8, 9, 20, 60, 64, 84], "saline_sample06": [0, 64], "saline_sample07": [0, 64], "same": [23, 56, 77], "sampl": [1, 5, 7, 8, 9, 17, 18, 20, 31, 36, 60, 62, 68, 69, 70, 73, 74, 76, 80, 83, 85, 93, 95, 96], "sample01": [4, 81, 84], "sample01_cfos_correlation_map": 89, "sample01_fil": 81, "sample01_slice_0000": 0, "sample01_slice_0005": 0, "sample01_slice_0050": 0, "sample02": [4, 81, 84], "sample02_fil": 81, "sample03": 0, "sample04": 0, "sample04_slice_0050": 0, "sample14": [0, 60], "sample36": [0, 60], "sample_dir_list": 31, "sample_dir_pattern": 31, "sample_kei": [1, 4, 63, 81, 84], "sample_nam": 18, "sample_path": [17, 31, 60, 73, 78, 96, 98], "save": [0, 5, 6, 11, 18, 19, 28, 32, 33, 34, 36, 42, 45, 50, 51, 53, 54, 55, 56, 65, 67, 72, 76, 87, 100], "save_as_h5": [28, 30, 76], "save_as_nii": [28, 30, 43, 44, 76], "save_as_tif": [28, 30, 32, 42, 43, 76], "save_as_zarr": [28, 30, 40, 43, 76], "save_cropped_img": [6, 24, 76], "save_labels_as_mask": [74, 75, 76], "save_metadata": 28, "save_metadata_to_fil": [28, 30, 76], "save_tif": [45, 54, 57, 76], "scale": [0, 43, 44, 76, 85, 97, 98], "scale_bool_to_full_r": [76, 85, 91], "scale_mod": 35, "scale_to_full_r": [76, 98, 99], "scanner": 41, "scienc": 1, "scipi": [1, 29, 70], "score": [0, 13, 43, 76, 85, 89, 91, 94], "script": [1, 2, 4, 20, 25, 26, 27, 31, 77, 97], "script_arg": 4, "script_nam": 4, "scroll": 0, "sd": 88, "se": [7, 8, 9], "search": [1, 29, 31, 82], "second": [4, 11, 18, 20, 41, 45, 85], "section": [0, 27, 77], "see": [0, 74, 92], "seed": 92, "seg_brain_mask": [1, 67, 70, 72, 75, 76, 95], "seg_copy_tif": [1, 67, 70, 73, 74], "seg_crop": 5, "seg_dir": [0, 5, 62], "seg_ilastik": [1, 60, 62, 74, 75, 76], "seg_img": 60, "seg_in_clust": 5, "seg_mask": 85, "seg_volume_in_cubic_mm": 5, "segment": [1, 5, 29, 62, 76, 91], "segmentation_dir": 74, "segmentation_imag": [0, 60], "select": [0, 7, 8, 9, 20, 31, 73, 82], "selector": [7, 8, 9, 20], "send": 2, "sensit": 0, "separ": [0, 4, 29, 31, 59, 92], "seper": 66, "seri": [0, 7, 8, 9, 20, 28, 29, 32, 34, 36, 39, 42, 50, 56, 70, 72, 80], "server": 0, "session": 0, "set": [1, 25, 26, 27, 31, 41, 92], "setup": 0, "sex": [0, 8, 9], "sform": 41, "sh": [2, 4], "shamloo": 1, "shape": 38, "share": [0, 23], "sheet": 0, "shell": [1, 2, 77], "shift": [0, 86, 87, 94], "should": [0, 4, 7, 8, 9, 20, 23, 31, 36, 45, 54, 81, 84, 92], "show": [0, 2, 31, 77], "show_plot": 63, "shrink": 67, "shrink_factor": 67, "side": [0, 19, 20, 29, 41, 51, 63, 64, 67, 76, 91], "sigma1": 45, "sigma2": 45, "sign": 35, "signal": [0, 1, 76, 91], "signifi": 0, "signific": [0, 13, 20, 22, 45], "simga2": 45, "similar": 0, "sinc": [0, 20, 41], "singl": [0, 25, 26, 45, 48, 54, 56], "situat": 77, "size": [1, 7, 8, 9, 22, 28, 29, 36, 38, 45, 54, 56, 57, 76], "sk": [0, 4, 63, 81], "slice": [0, 29, 31, 56, 73, 74], "slice_": [32, 42, 72], "slice_numb": 73, "slicer": 0, "slow": 85, "slowli": 0, "sm": [0, 25, 26, 30, 67, 76], "small": [0, 7, 8, 9], "smaller": [0, 45, 48, 54], "smallest": 48, "smart_float_format": [12, 24, 76], "smooth": [0, 86, 94], "so": [2, 11, 41], "some": 54, "sort": [24, 48, 76], "sort_sampl": [18, 24, 76], "sort_sunburst_hierarchi": [23, 24, 76], "sourc": [2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 66, 67, 68, 69, 70, 72, 73, 74, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "source_dir": [31, 73], "source_img": 96, "space": [0, 1, 5, 29, 59, 61, 65, 76, 80, 91, 93, 96, 97, 98, 99], "sparser": 0, "spatial": [0, 28, 41, 45, 56, 85], "spatial_averag": [0, 1, 57, 76], "spatial_average_2d": [56, 57, 76], "spatial_average_3d": [56, 57, 76], "spatial_avg": 56, "specif": [0, 2, 26, 29, 31, 76, 87, 91], "specifi": [0, 5, 7, 8, 9, 20, 23, 25, 26, 27, 29, 31, 34, 35, 36, 56, 73, 81, 82, 85, 87, 92], "speed": [0, 31], "split": [3, 11], "split_clusters_based_on_effect": [11, 24, 76], "spool": [7, 8, 9], "spot": 1, "spread": 0, "squar": 0, "src": 17, "src_dir": 79, "ssd": 0, "stack": 1, "stain": [1, 61, 62], "standard": [35, 45, 95], "stanford": [1, 2], "start": [0, 7, 8, 9, 16, 20, 23, 31], "startup": 2, "stat": [1, 4, 11, 12, 24, 76, 92, 94, 95], "static": 27, "statist": [0, 64], "stats_df": 20, "stats_info_g1_v_g2": 11, "stats_tabl": [1, 24, 76], "stderr": 66, "step": [1, 23, 60, 62, 67, 70, 77, 92, 93, 94, 95], "stick": 0, "stitch": 1, "storag": 0, "store": 2, "str": [7, 8, 9, 11, 20, 26, 28, 29, 31, 41, 67, 80, 100], "string": [25, 26, 29, 31, 92], "strip": [12, 27], "struct_el": 29, "structur": [1, 14], "studio": [0, 22], "style": [26, 27], "subclass": 27, "subdir": [0, 20, 31, 80], "subdirectori": [74, 80], "subfold": 0, "subject": 0, "subpackag": 1, "subprocess": [4, 66], "subset": [0, 28, 73], "subsystem": 1, "subtract": [29, 45, 54, 93], "succinctli": 0, "sudo": 2, "suffix": 77, "suggest": [0, 1], "sum": 23, "summar": [0, 16, 21, 23, 60, 64], "summari": [0, 64], "summarize_signific": [64, 65, 76], "summary_df": 64, "sunburst": [0, 1, 4, 15, 24, 76], "sunburst_csv_path": 23, "sunburst_rgb": 22, "superior": [0, 41, 67], "supplement": 7, "support": [0, 54], "suppress": [25, 26, 66], "suppressmetavar": [25, 26, 30, 76], "surfac": 48, "symbol": 0, "system": [2, 4, 77, 92], "t": [0, 4, 7, 8, 9, 24, 28, 32, 41, 42, 64, 65, 66, 74, 76, 80, 82, 84, 92], "tab": [0, 22], "tabl": [0, 1, 24, 63, 76], "table_column": 31, "tag": 1, "tail": [0, 89], "tar": 2, "target": [0, 17, 31, 35, 41, 68, 69, 73, 78], "target_dir": [14, 17, 31, 73, 78], "target_ort": 41, "target_output_dir": [68, 69], "target_r": [55, 98], "target_rang": 35, "task": 31, "task_id": 31, "task_messag": 31, "td": [0, 17, 68, 69], "templat": [0, 2, 71, 76], "template1": 67, "template2": 67, "tensoranalyt": 1, "terastitch": 0, "termin": [0, 2, 26], "test": [0, 4, 24, 45, 64, 65, 76, 92], "test_df": 64, "test_pool": 4, "test_result": 4, "test_typ": 63, "text": [25, 26, 28, 31, 32, 42, 82], "than": [0, 45, 59], "thei": [0, 2, 20, 23, 28], "them": [0, 2, 22, 23, 25, 26, 27, 29, 31, 82], "thi": [0, 2, 4, 7, 8, 9, 13, 14, 19, 20, 23, 25, 26, 27, 28, 29, 31, 32, 36, 45, 62, 64, 66, 70, 77, 81, 85, 86, 94, 97, 100], "thin": [0, 48], "thing": 0, "third": 41, "those": [7, 8, 9, 20], "though": 4, "thread": [29, 56], "three": 38, "threshold": [0, 11, 17], "through": 20, "tif": [1, 28, 29, 31, 32, 34, 36, 39, 42, 45, 50, 51, 54, 56, 70, 72, 73, 80, 93, 96], "tif_dir": [0, 29, 34, 36, 56, 74], "tif_dir_out": [28, 32, 42], "tif_folder_nam": 80, "tif_path": [28, 42, 45, 54], "tif_to_tif": [1, 43, 76], "tiff": [0, 54], "tifs_path": 36, "tile": 0, "time": [4, 31, 45, 54, 66], "timeelapsedcolumn": 31, "timeout": 66, "timeremainingcolumn": 31, "timeseri": 0, "tissu": [0, 5, 29, 71, 72, 76, 91, 97, 98, 99], "tissue_in_atlas_spac": 100, "tissue_mask": 85, "tk": 2, "tl": 1, "to_atla": [1, 76, 99], "to_fix": [1, 76, 99], "to_n": [1, 76, 97, 99], "togeth": [0, 87, 95], "toggl": [0, 76, 83], "toggle_sampl": [1, 76, 83], "toml": [0, 77], "too": 2, "tool": [0, 1, 2], "top": [23, 51], "top_n": 23, "top_region": 23, "total": [0, 23, 31, 92], "total_permutations_per_contrast": 92, "touch": 0, "tp": [0, 86, 94], "track": 0, "tract": 0, "trail": 12, "train": [1, 70, 72, 73, 74], "trained_ilastik_project": 0, "transform": [41, 89, 100], "transform_nii_affin": [41, 43, 76], "transpar": 0, "transpos": [0, 58], "transpose_ax": [1, 57, 76], "transpose_img": [57, 58, 76], "treat": 20, "treatment": [0, 4, 63, 81, 84], "treatment_sample02_fil": 81, "treatment_sample03_cell_density_data": 0, "treatment_sample03_rb4_atlas_space_z": 0, "treatment_sample04_cell_density_data": 0, "treatment_sample04_rb4_atlas_space_z": 0, "treatment_sample04_regional_cell_dens": 0, "triangl": 0, "true": [28, 31, 32, 41, 42, 82, 100], "tstat1": 0, "tstat2": 0, "ttest": 63, "ttest_result": 13, "tukei": [24, 65, 76], "tukey_result": 13, "tupl": [25, 26, 28, 32, 35, 42, 48, 56], "turn": 0, "tutori": [0, 2], "two": [7, 8, 9, 20, 63, 81, 89, 92], "txt": [3, 5, 6, 11, 23, 28, 31, 36, 50, 79, 98], "type": [0, 7, 8, 9, 11, 15, 17, 20, 22, 28, 29, 31, 34, 35, 38, 41, 48, 54, 56, 59, 60, 62, 64, 70, 82, 85, 96, 100], "typic": 1, "ubuntu": 2, "uint16": [35, 46, 48, 96], "uint32": 35, "uint64": 35, "uint8": [35, 48, 96], "um": [32, 42, 70, 72], "um_brain_mask": [0, 72], "um_mask": [0, 72], "um_masked_fixed_reg_input": [0, 68], "um_tif": [0, 70, 72], "um_tifs_ilastik_brain_seg": 72, "unbias": [7, 8, 9], "uncorrect": 0, "undefin": 0, "under": 0, "underscor": 80, "undo_fill_with_origin": [23, 24, 76], "unfamiliar": [0, 2], "unilater": [0, 11, 18, 20], "uniq_intens": [57, 59, 76], "uniqu": [0, 7, 8, 9, 20, 29, 48, 57, 76, 77], "unique_condit": [7, 8, 9, 20], "unique_intens": [1, 48, 57, 76], "unnecessari": 12, "unpad": [0, 100], "unpair": [20, 92], "unravel": 0, "unravel_command": [0, 1, 2, 76], "unravel_env": [2, 77], "unravel_reg": 77, "unsign": 35, "until": 23, "up": [1, 12, 23, 63, 80, 92], "updat": [0, 1], "upenn": 1, "upgrad": 2, "upper": 0, "upstream_path": 28, "us": [0, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 67, 68, 69, 70, 72, 73, 74, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "usag": [0, 1, 8, 10, 24, 25, 26, 27, 31, 43, 47, 51, 57, 65, 71, 75, 76, 83, 90, 91, 99], "user": [0, 1, 2], "usernam": [2, 27], "usr": [2, 66, 77], "util": [0, 1, 2, 30, 76], "utils_agg_fil": [1, 62, 63, 78, 93, 95], "utils_agg_files_rec": [0, 79], "utils_clean_tif": 80, "utils_prepend": [1, 4, 63, 81], "utils_renam": [0, 81, 82], "utils_toggl": [0, 84], "v": [0, 2, 3, 4, 5, 6, 11, 17, 19, 22, 51, 56, 70, 72, 78, 80, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 100], "valid": [4, 7, 8, 9, 11, 15, 17, 20, 21, 22], "valid_clust": [15, 23], "valid_clusters_sunburst": 4, "valid_clusters_t_test": [20, 24, 76], "valid_clusters_tables_and_legend": 4, "validation_dir": 17, "validation_dir_pattern": 17, "valu": [0, 11, 12, 13, 16, 17, 20, 22, 23, 25, 26, 27, 35, 41, 48, 52, 59, 64, 88, 89], "valud": 41, "variabl": 1, "variou": 28, "vd": [0, 4, 17], "ventricl": 0, "venv": 2, "verbos": [23, 27, 31, 67, 73, 78, 80, 92], "verbose_end_msg": [30, 31, 76], "verbose_start_msg": [30, 31, 76], "verifi": 77, "version": [0, 3, 45, 85, 87, 94], "via": [1, 2, 89], "video": [0, 1], "view": [0, 2], "virtual": 2, "virtualenv": 2, "visit": 2, "visual": 0, "vizual": 3, "volum": [0, 5, 22, 24, 56, 60, 76], "volume_summari": 46, "volumes_dict": 22, "vox_p": 0, "vox_p_": [11, 12], "vox_p_fstat1": [0, 11], "vox_p_fstat2": 0, "vox_p_fstat3": 0, "vox_p_tstat1": [0, 11, 12], "vox_p_tstat2": 0, "voxel": [1, 5, 22, 29, 36, 38, 51, 56, 57, 62, 76, 87, 88, 91, 92, 94, 95], "voxel_stat": [0, 1, 76], "voxl": 0, "vstat": [1, 11, 12, 17, 76, 91, 93, 94, 95], "vstats_apply_mask": [0, 85], "vstats_dir": [0, 4, 17], "vstats_hemi_to_avg": [0, 86, 95], "vstats_mirror": [0, 87], "vstats_path": 17, "vstats_prep": [1, 45, 67, 70, 76, 91, 92, 94, 95], "vstats_whole_to_avg": [1, 92, 94, 95], "vstats_z_scor": [1, 72, 92, 94, 95], "w": [0, 3, 5, 7, 8, 9, 16, 20, 22, 57, 64, 65, 66, 70, 72, 76, 80, 91], "wa": [0, 1, 13], "wai": 77, "want": [0, 2, 4, 45], "warp": [0, 1, 5, 29, 76, 91, 93], "warp_to_atla": [0, 96, 100], "warp_to_fix": [0, 97, 100], "warp_to_n": [0, 65, 76, 98], "warped_img": 97, "we": [0, 1, 2, 23], "web": 1, "websit": 2, "well": 36, "were": [0, 1], "weslei": 1, "weszhao": 1, "wget": 2, "what": 82, "whatev": 0, "wheel": 0, "when": [4, 43, 76, 77, 83, 87], "where": [0, 2, 7, 8, 9, 13, 20, 23, 31, 48, 73, 76, 77, 91, 100], "whether": [20, 28, 82], "which": [31, 77], "whole": [11, 95], "whole_to_lr_avg": [0, 1, 76, 91], "whose": [7, 8, 9, 20], "wide": 1, "width": [25, 26], "window": [0, 1], "wirefram": [0, 47, 57, 76], "wireframe_imag": 48, "wireframe_image_id": 48, "wise": [1, 92, 94, 95], "within": [0, 23, 29, 31, 63], "without": 82, "withs": 63, "word": [0, 18, 20, 63], "work": [0, 2, 4, 16, 18, 20, 23, 26, 63, 68, 69], "workflow": [1, 77], "worksheet": 16, "write": [29, 61, 62], "write_to_csv": [61, 62, 65, 76], "wsl": 1, "x": [1, 6, 23, 28, 29, 36, 41, 51, 60, 67, 70, 85, 89, 93, 96, 98], "x_dim": 28, "xjf": 2, "xlsx": [4, 16], "xmax": [5, 28, 29], "xmin": [5, 28, 29], "xy": [0, 6, 28, 55, 56, 93], "xy_r": [5, 6, 28, 29, 32, 42, 55, 60, 70, 98], "xy_voxel_s": [32, 42], "xyz": [28, 32, 42, 67], "xyz_res_in_um": 15, "xz": 2, "y": [1, 2, 28, 29, 36, 41, 60, 67, 70, 85, 98], "y_dim": 28, "yeild": [0, 12], "yellow": 0, "yield": 0, "ymax": [5, 28, 29], "ymin": [5, 28, 29], "you": [0, 1, 4, 45, 77], "your": [0, 1, 2, 31, 77], "z": [1, 6, 13, 28, 29, 36, 41, 43, 55, 56, 60, 67, 70, 76, 85, 89, 91, 93, 94, 96, 98], "z_dim": 28, "z_map": 89, "z_re": [5, 6, 28, 29, 32, 42, 55, 60, 70, 98], "z_score": [0, 1, 76, 91], "z_to_p": [89, 90, 91], "z_voxel_s": [32, 42], "zarr": [0, 28, 34, 40, 44, 56, 85, 93, 96, 98], "zarr_path": 28, "zarr_to_ndarrai": [43, 44, 76], "zarr_to_nii": [1, 43, 76], "zeiss": 0, "zen": 0, "zero": [0, 12, 41, 56, 57, 76, 91], "zero_origin": 41, "zetastitch": 0, "zhao": 1, "zlib1g": 2, "zmax": [5, 28, 29], "zmin": [5, 28, 29], "zo": 55, "zoom": [0, 29, 70], "zoom_ord": [29, 55, 70, 98], "zscore": 35, "zscore_rang": 35, "zshrc": [0, 1, 77], "zyx": [32, 42], "\u00b5m": 0}, "titles": ["Guide", "UN-biased high-Resolution Analysis and Validation of Ensembles using Light sheet images", "Installation", "unravel.cluster_stats.brain_model module", "unravel.cluster_stats.cluster_summary module", "unravel.cluster_stats.cluster_validation module", "unravel.cluster_stats.crop module", "unravel.cluster_stats.effect_sizes.effect_sizes module", "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute module", "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative module", "unravel.cluster_stats.effect_sizes package", "unravel.cluster_stats.fdr module", "unravel.cluster_stats.fdr_range module", "unravel.cluster_stats.find_incongruent_clusters module", "unravel.cluster_stats.group_bilateral_data module", "unravel.cluster_stats.index module", "unravel.cluster_stats.legend module", "unravel.cluster_stats.org_data module", "unravel.cluster_stats.prism module", "unravel.cluster_stats.recursively_mirror_rev_cluster_indices module", "unravel.cluster_stats.stats module", "unravel.cluster_stats.stats_table module", "unravel.cluster_stats.sunburst module", "unravel.cluster_stats.table module", "unravel.cluster_stats package", "unravel.core.argparse_utils module", "unravel.core.argparse_utils_rich module", "unravel.core.config module", "unravel.core.img_io module", "unravel.core.img_tools module", "unravel.core package", "unravel.core.utils module", "unravel.image_io.h5_to_tifs module", "unravel.image_io.img_to_npy module", "unravel.image_io.io_img module", "unravel.image_io.io_nii module", "unravel.image_io.metadata module", "unravel.image_io.nii_hd module", "unravel.image_io.nii_info module", "unravel.image_io.nii_to_tifs module", "unravel.image_io.nii_to_zarr module", "unravel.image_io.reorient_nii module", "unravel.image_io.tif_to_tifs module", "unravel.image_io package", "unravel.image_io.zarr_to_nii module", "unravel.image_tools.DoG module", "unravel.image_tools.atlas.relabel_nii module", "unravel.image_tools.atlas package", "unravel.image_tools.atlas.wireframe module", "unravel.image_tools.avg module", "unravel.image_tools.bbox module", "unravel.image_tools.extend module", "unravel.image_tools.max module", "unravel.image_tools.pad module", "unravel.image_tools.rb module", "unravel.image_tools.resample module", "unravel.image_tools.spatial_averaging module", "unravel.image_tools package", "unravel.image_tools.transpose_axes module", "unravel.image_tools.unique_intensities module", "unravel.region_stats.rstats module", "unravel.region_stats.rstats_mean_IF module", "unravel.region_stats.rstats_mean_IF_in_segmented_voxels module", "unravel.region_stats.rstats_mean_IF_summary module", "unravel.region_stats.rstats_summary module", "unravel.region_stats package", "unravel.register.affine_initializer module", "unravel.register.reg module", "unravel.register.reg_check module", "unravel.register.reg_check_brain_mask module", "unravel.register.reg_prep module", "unravel.register package", "unravel.segment.brain_mask module", "unravel.segment.copy_tifs module", "unravel.segment.ilastik_pixel_classification module", "unravel.segment package", "unravel package", "unravel.unravel_commands module", "unravel.utilities.aggregate_files_from_sample_dirs module", "unravel.utilities.aggregate_files_recursively module", "unravel.utilities.clean_tif_dirs module", "unravel.utilities.prepend_conditions module", "unravel.utilities.rename module", "unravel.utilities package", "unravel.utilities.toggle_samples module", "unravel.voxel_stats.apply_mask module", "unravel.voxel_stats.hemi_to_LR_avg module", "unravel.voxel_stats.mirror module", "unravel.voxel_stats.other.IF_outliers module", "unravel.voxel_stats.other.r_to_p module", "unravel.voxel_stats.other package", "unravel.voxel_stats package", "unravel.voxel_stats.vstats module", "unravel.voxel_stats.vstats_prep module", "unravel.voxel_stats.whole_to_LR_avg module", "unravel.voxel_stats.z_score module", "unravel.warp.to_atlas module", "unravel.warp.to_fixed module", "unravel.warp.to_native module", "unravel.warp package", "unravel.warp.warp module"], "titleterms": {"": [20, 63], "0": 85, "1": 85, "100": 59, "3": 0, "8": 35, "If": 0, "across": 0, "activ": 84, "add": 0, "addit": [1, 92], "affine_initi": 66, "after": [0, 4], "aggregate_files_from_sample_dir": 78, "aggregate_files_recurs": 79, "all": [0, 59, 77, 84], "allen": 0, "alreadi": [60, 78], "an": [0, 95], "analysi": [0, 1, 2], "apply_mask": 85, "ar": 2, "argparse_util": 25, "argparse_utils_rich": 26, "artifact": 85, "atla": [0, 46, 47, 48, 60, 63, 67, 95, 100], "automat": 0, "avail": 60, "avg": 49, "back": 0, "background": 0, "bashrc": 2, "batch": 0, "bbox": 50, "being": 78, "between": 2, "bias": 1, "bit": 35, "both": 95, "brain": [0, 85], "brain_mask": 72, "brain_model": 3, "can": 0, "certain": 84, "chang": 2, "check": 2, "clean": 0, "clean_tif_dir": 80, "cli": 98, "cluster": [0, 59, 85], "cluster_fdr": 0, "cluster_fdr_rang": 0, "cluster_mirror_indic": 0, "cluster_org_data": 4, "cluster_stat": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], "cluster_summari": [0, 4], "cluster_valid": [0, 4, 5], "code": 0, "color": 0, "command": [0, 77], "common": [0, 77], "condit": [63, 84], "config": 27, "contact": 1, "content": [1, 76], "contribut": 1, "copi": 78, "copy_tif": 73, "core": [25, 26, 27, 28, 29, 30, 31], "correct": 0, "crop": 6, "csv": 0, "custom": 63, "data": 0, "defin": 0, "depend": [1, 2], "descript": 77, "develop": 1, "dir": [0, 84], "directli": 4, "directori": 82, "distribut": 0, "dog": 45, "dr": 2, "drive": 0, "e": 85, "each": 59, "edit": 2, "effect_s": [7, 8, 9, 10], "effect_sizes_by_sex__absolut": 8, "effect_sizes_by_sex__rel": 9, "ensembl": 1, "env_var": 0, "etc": 0, "exampl": 0, "exclud": 85, "exp": 0, "exp_not": 0, "experi": 0, "extend": 51, "extract": 36, "faster": 60, "fdr": 11, "fdr_rang": 12, "file": [78, 82], "find_incongruent_clust": 13, "folder": 0, "forward": 100, "from": [1, 60, 85], "full": 73, "function": 28, "g": 85, "get": [1, 2], "group_bilateral_data": 14, "guid": 0, "h5_to_tif": 32, "help": 0, "helper": 28, "hemi_to_lr_avg": 86, "hierarchi": 23, "high": 1, "i": [1, 35, 36, 59, 60, 78], "if_outli": 88, "ilastik": 0, "ilastik_pixel_classif": 74, "imag": [0, 1, 73, 85], "image_io": [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], "image_tool": [45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "img_avg": 0, "img_io": 28, "img_to_npi": 33, "img_tool": 29, "immunofluoresc": 73, "index": 15, "indic": 1, "info": 0, "instal": 2, "intens": [59, 85], "invers": 100, "io_img": 34, "io_nii": 35, "legend": 16, "letter": 0, "light": 1, "like": 0, "linux": 2, "list": 0, "log": 0, "main": [1, 28], "make": 0, "mask": [85, 95], "max": 52, "mean": 85, "metadata": 36, "microglia": 85, "min": 59, "mirror": 87, "modul": [3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 66, 67, 68, 69, 70, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "more": 0, "multipl": 0, "name": [0, 77, 78], "nativ": 60, "need": 35, "nii_hd": 37, "nii_info": 38, "nii_to_tif": 39, "nii_to_zarr": 40, "non": 59, "note": [0, 2], "number": 59, "open": 0, "option": [0, 2, 92], "org_data": 17, "orient": 0, "other": [88, 89, 90], "out": 85, "overview": 0, "packag": [10, 24, 30, 43, 47, 57, 65, 71, 75, 76, 83, 90, 91, 99], "pad": 53, "path": 0, "pleas": 2, "prep": 73, "prepend": 78, "prepend_condit": 81, "present": 59, "preserv": 85, "print": [59, 77], "prism": 18, "project": 0, "python": [66, 98], "r_to_p": 89, "raw": 0, "rb": 54, "recursively_mirror_rev_cluster_indic": 19, "reg": [0, 67], "reg_check": [0, 68], "reg_check_brain_mask": 69, "reg_prep": [0, 70], "region": 0, "region_stat": [60, 61, 62, 63, 64, 65], "regist": [66, 67, 68, 69, 70, 71], "registr": [0, 67], "relabel_nii": 46, "renam": [63, 82], "reorder": 63, "reorient_nii": 41, "replac": 85, "repres": 85, "reproduc": 2, "resampl": 55, "resolut": [1, 73], "rstat": [0, 60], "rstats_mean_if": 61, "rstats_mean_if_in_segmented_voxel": 62, "rstats_mean_if_summari": 63, "rstats_summari": [0, 64], "run": [0, 4], "sampl": [0, 78, 84], "sample01": 0, "sample02": 0, "sample_kei": 0, "save": 60, "scale": 35, "score": [35, 95], "script": 0, "seg_brain_mask": [0, 73], "seg_copy_tif": 0, "seg_ilastik": [0, 73], "segment": [0, 72, 73, 74, 75, 85], "set": [0, 2], "sh": 0, "sheet": 1, "shell": 0, "side": 95, "signal": 85, "size": [0, 59], "sort": 23, "sourc": 0, "space": [60, 95, 100], "spatial_averag": 56, "specif": 95, "stack": 0, "start": [1, 2], "stat": [0, 20], "stats_tabl": 21, "step": 0, "stitch": 0, "structur": 0, "subpackag": 76, "subsystem": 2, "subtract": 0, "sunburst": 22, "support": 1, "syntax": 0, "t": [20, 63], "tabl": 23, "templat": 67, "test": [20, 63], "tif": 0, "tif_to_tif": 42, "tissu": [67, 95, 100], "tl": 2, "to_atla": 96, "to_fix": 97, "to_n": 98, "todo": [0, 2], "toggl": 84, "toggle_sampl": 84, "train": 0, "transpose_ax": 58, "tukei": [20, 63], "txt": 0, "typic": 0, "u": 1, "un": 1, "uniqu": 59, "unique_intens": 59, "unravel": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100], "unravel_command": 77, "up": [0, 2], "updat": 2, "us": [1, 2], "usag": [3, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 48, 49, 50, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 66, 67, 68, 69, 70, 72, 73, 74, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "util": [31, 78, 79, 80, 81, 82, 83, 84], "utils_agg_fil": 0, "utils_clean_tif": 0, "utils_prepend": 0, "valid": [0, 1], "vari": 0, "variabl": 0, "version": 2, "visual": 1, "volum": 23, "voxel": [0, 59, 85], "voxel_stat": [85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95], "vstat": [0, 92], "vstats_prep": [0, 93], "vstats_whole_to_avg": 0, "vstats_z_scor": 0, "w": [59, 63, 92, 95], "warp": [95, 96, 97, 98, 99, 100], "warp_to_n": 60, "welcom": 1, "when": [36, 78], "where": 85, "whole_to_lr_avg": 94, "window": 2, "wirefram": 48, "wise": 0, "workflow": 0, "wsl": 2, "x": 0, "y": 0, "you": 2, "z": [0, 35, 95], "z_score": 95, "zarr_to_nii": 44, "zero": [59, 85], "zshrc": 2}}) \ No newline at end of file +Search.setIndex({"alltitles": {"3 letter orientation code": [[0, null]], "Add images to sample?? dirs": [[0, "add-images-to-sample-dirs"]], "Additional contributions from": [[1, "additional-contributions-from"]], "All commands": [[0, null]], "Allen brain atlas coloring": [[0, null]], "Analysis steps": [[0, "analysis-steps"]], "Automatic logging of scripts": [[0, null]], "Back up raw data": [[0, "back-up-raw-data"]], "Background subtraction": [[0, null]], "Batch stitching settings": [[0, null]], "CLI usage:": [[98, "cli-usage"]], "Checking changes between versions": [[2, null]], "Cluster correction": [[0, "cluster-correction"]], "Cluster validation": [[0, "cluster-validation"]], "Common commands": [[0, "common-commands"]], "Contact us": [[1, "contact-us"]], "Contents:": [[1, null]], "Data can be distributed across multiple drives": [[0, null]], "Define common variables in a shell script": [[0, "define-common-variables-in-a-shell-script"]], "Developers": [[1, "developers"]], "Edit .bashrc or .zshrc to set up dependencies": [[2, "edit-bashrc-or-zshrc-to-set-up-dependencies"]], "Example experiment folder structure after analysis": [[0, "example-experiment-folder-structure-after-analysis"]], "Example sample?? folder structure after analysis": [[0, "example-sample-folder-structure-after-analysis"]], "Get started with analysis": [[2, "get-started-with-analysis"]], "Getting started": [[1, "getting-started"]], "Guide": [[0, "guide"]], "Help on commands": [[0, "help-on-commands"]], "Helper Functions:": [[28, "helper-functions"]], "If sample orientations vary": [[0, null]], "Indices": [[1, "indices"]], "Installation": [[2, "installation"]], "Installing UNRAVEL on Linux or WSL": [[2, "installing-unravel-on-linux-or-wsl"]], "Listing commands": [[0, "listing-commands"]], "Log exp paths, commands, etc.": [[0, "log-exp-paths-commands-etc"]], "Main Functions:": [[28, "main-functions"]], "Main dependencies": [[1, "main-dependencies"]], "Make a sample_key.csv:": [[0, "make-a-sample-key-csv"]], "Make an exp_notes.txt": [[0, null]], "Make sample folders": [[0, "make-sample-folders"]], "Module contents": [[76, "module-contents"]], "More info on commands": [[0, null]], "Name sample folders like sample01, sample02, \u2026": [[0, null]], "Note x/y and z voxel sizes": [[0, "note-x-y-and-z-voxel-sizes"]], "Open source options for stitching": [[0, null]], "Optional: clean tifs": [[0, "optional-clean-tifs"]], "Optional: editable installation of UNRAVEL": [[2, "optional-editable-installation-of-unravel"]], "Overview and steps for voxel-wise stats": [[0, null]], "Please note the version of UNRAVEL you are using for reproducibility.": [[2, null]], "Python usage:": [[66, "python-usage"], [98, "python-usage"]], "Region-wise stats": [[0, "region-wise-stats"]], "Registration": [[0, "registration"]], "Running batch stitching": [[0, null]], "Segmentation": [[0, "segmentation"]], "Set up": [[0, "set-up"]], "Setting Up Windows Subsystem for Linux (WSL)": [[2, "setting-up-windows-subsystem-for-linux-wsl"]], "Sorting by hierarchy and volume:": [[23, "sorting-by-hierarchy-and-volume"]], "Stitch z-stacks": [[0, "stitch-z-stacks"]], "Subpackages": [[76, "subpackages"]], "Support is welcome for": [[1, "support-is-welcome-for"]], "Syntax": [[0, null]], "T-test usage:": [[20, "t-test-usage"]], "TL;DR": [[2, "tl-dr"]], "Todo": [[0, "id1"], [0, "id2"], [0, "id5"], [2, "id1"]], "Train an Ilastik project": [[0, "train-an-ilastik-project"], [0, null]], "Tukey\u2019s test usage:": [[20, "tukey-s-test-usage"]], "Typical workflow": [[0, "typical-workflow"]], "UN-biased high-Resolution Analysis and Validation of Ensembles using Light sheet images": [[1, "un-biased-high-resolution-analysis-and-validation-of-ensembles-using-light-sheet-images"]], "UNRAVEL visualizer": [[1, "unravel-visualizer"]], "Updating UNRAVEL": [[2, "updating-unravel"]], "Usage": [[3, "usage"], [6, "usage"], [7, "usage"], [9, "usage"], [11, "usage"], [12, "usage"], [13, "usage"], [14, "usage"], [15, "usage"], [17, "usage"], [18, "usage"], [19, "usage"], [62, "usage"]], "Usage for Tukey\u2019s tests w/ reordering and renaming of conditions:": [[63, "usage-for-tukey-s-tests-w-reordering-and-renaming-of-conditions"]], "Usage for activating sample?? dirs for certain conditions:": [[84, "usage-for-activating-sample-dirs-for-certain-conditions"]], "Usage for atlas to atlas registration:": [[67, "usage-for-atlas-to-atlas-registration"]], "Usage for forward warping atlas to tissue space:": [[100, "usage-for-forward-warping-atlas-to-tissue-space"]], "Usage for inverse warping tissue to atlas space:": [[100, "usage-for-inverse-warping-tissue-to-atlas-space"]], "Usage for printing all non-zero intensities:": [[59, "usage-for-printing-all-non-zero-intensities"]], "Usage for printing the number of voxels for each intensity that is present:": [[59, "usage-for-printing-the-number-of-voxels-for-each-intensity-that-is-present"]], "Usage for printing unique intensities w/ a min cluster size > 100 voxels:": [[59, "usage-for-printing-unique-intensities-w-a-min-cluster-size-100-voxels"]], "Usage for renaming directories:": [[82, "usage-for-renaming-directories"]], "Usage for renaming files:": [[82, "usage-for-renaming-files"]], "Usage for t-tests:": [[63, "usage-for-t-tests"]], "Usage for template to template registration:": [[67, "usage-for-template-to-template-registration"]], "Usage for tissue registration:": [[67, "usage-for-tissue-registration"]], "Usage for toggling all sample?? dirs to active:": [[84, "usage-for-toggling-all-sample-dirs-to-active"]], "Usage for when metadata is extractable:": [[36, "usage-for-when-metadata-is-extractable"]], "Usage for when metadata is not extractable:": [[36, "usage-for-when-metadata-is-not-extractable"]], "Usage for when sample?? is already in the name of files being copied:": [[78, "usage-for-when-sample-is-already-in-the-name-of-files-being-copied"]], "Usage for z-score scaling (if 8 bit is needed):": [[35, "usage-for-z-score-scaling-if-8-bit-is-needed"]], "Usage if running after cluster_validation and cluster_org_data:": [[4, "usage-if-running-after-cluster-validation-and-cluster-org-data"]], "Usage if running directly after cluster_validation:": [[4, "usage-if-running-directly-after-cluster-validation"]], "Usage if the atlas is already in native space from warp_to_native:": [[60, "usage-if-the-atlas-is-already-in-native-space-from-warp-to-native"]], "Usage if the native atlas is not available; it is not saved (faster):": [[60, "usage-if-the-native-atlas-is-not-available-it-is-not-saved-faster"]], "Usage to prep for seg_brain_mask:": [[73, "usage-to-prep-for-seg-brain-mask"]], "Usage to prep for seg_ilastik to segment full resolution immunofluorescence images:": [[73, "usage-to-prep-for-seg-ilastik-to-segment-full-resolution-immunofluorescence-images"]], "Usage to prepend sample?? to the name of files being copied:": [[78, "usage-to-prepend-sample-to-the-name-of-files-being-copied"]], "Usage to print all commands and module names:": [[77, "usage-to-print-all-commands-and-module-names"]], "Usage to print common commands and descriptions:": [[77, "usage-to-print-common-commands-and-descriptions"]], "Usage to replace voxels in image with the mean intensity in the brain where mask > 0:": [[85, "usage-to-replace-voxels-in-image-with-the-mean-intensity-in-the-brain-where-mask-0"]], "Usage to zero out voxels in image where mask < 1 (e.g., to preserve signal from segmented microglia clusters):": [[85, "usage-to-zero-out-voxels-in-image-where-mask-1-e-g-to-preserve-signal-from-segmented-microglia-clusters"]], "Usage to zero out voxels in image where mask > 0 (e.g., to exclude voxels representing artifacts):": [[85, "usage-to-zero-out-voxels-in-image-where-mask-0-e-g-to-exclude-voxels-representing-artifacts"]], "Usage w/ a tissue mask (warped to atlas space):": [[95, "usage-w-a-tissue-mask-warped-to-atlas-space"]], "Usage w/ additional options:": [[92, "usage-w-additional-options"]], "Usage w/ an atlas mask (warped to atlas space):": [[95, "usage-w-an-atlas-mask-warped-to-atlas-space"]], "Usage w/ both masks for side-specific z-scoring:": [[95, "usage-w-both-masks-for-side-specific-z-scoring"]], "Usage with a custom atlas:": [[63, "usage-with-a-custom-atlas"]], "Usage:": [[5, "usage"], [16, "usage"], [21, "usage"], [22, "usage"], [23, "usage"], [32, "usage"], [33, "usage"], [34, "usage"], [35, "usage"], [37, "usage"], [38, "usage"], [39, "usage"], [40, "usage"], [41, "usage"], [42, "usage"], [44, "usage"], [45, "usage"], [46, "usage"], [48, "usage"], [49, "usage"], [50, "usage"], [52, "usage"], [53, "usage"], [54, "usage"], [55, "usage"], [56, "usage"], [58, "usage"], [61, "usage"], [64, "usage"], [66, "usage"], [68, "usage"], [69, "usage"], [70, "usage"], [72, "usage"], [74, "usage"], [79, "usage"], [80, "usage"], [81, "usage"], [86, "usage"], [87, "usage"], [88, "usage"], [89, "usage"], [92, "usage"], [93, "usage"], [94, "usage"], [96, "usage"], [97, "usage"]], "Voxel-wise stats": [[0, "voxel-wise-stats"]], "cluster_fdr": [[0, "cluster-fdr"]], "cluster_fdr_range": [[0, "cluster-fdr-range"]], "cluster_mirror_indices": [[0, "cluster-mirror-indices"]], "cluster_summary": [[0, "cluster-summary"]], "cluster_validation": [[0, "id4"]], "env_var.sh": [[0, null]], "img_avg": [[0, "img-avg"]], "reg": [[0, "reg"]], "reg_check": [[0, "reg-check"]], "reg_prep": [[0, "reg-prep"]], "rstats": [[0, "rstats"]], "rstats_summary": [[0, "rstats-summary"]], "seg_brain_mask": [[0, "seg-brain-mask"]], "seg_copy_tifs": [[0, "seg-copy-tifs"], [0, "id3"]], "seg_ilastik": [[0, "seg-ilastik"]], "unravel package": [[76, "unravel-package"]], "unravel.cluster_stats package": [[24, "unravel-cluster-stats-package"]], "unravel.cluster_stats.brain_model module": [[3, "module-unravel.cluster_stats.brain_model"]], "unravel.cluster_stats.cluster_summary module": [[4, "module-unravel.cluster_stats.cluster_summary"]], "unravel.cluster_stats.cluster_validation module": [[5, "module-unravel.cluster_stats.cluster_validation"]], "unravel.cluster_stats.crop module": [[6, "module-unravel.cluster_stats.crop"]], "unravel.cluster_stats.effect_sizes package": [[10, "unravel-cluster-stats-effect-sizes-package"]], "unravel.cluster_stats.effect_sizes.effect_sizes module": [[7, "module-unravel.cluster_stats.effect_sizes.effect_sizes"]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute module": [[8, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute"]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative module": [[9, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative"]], "unravel.cluster_stats.fdr module": [[11, "module-unravel.cluster_stats.fdr"]], "unravel.cluster_stats.fdr_range module": [[12, "module-unravel.cluster_stats.fdr_range"]], "unravel.cluster_stats.find_incongruent_clusters module": [[13, "module-unravel.cluster_stats.find_incongruent_clusters"]], "unravel.cluster_stats.group_bilateral_data module": [[14, "module-unravel.cluster_stats.group_bilateral_data"]], "unravel.cluster_stats.index module": [[15, "module-unravel.cluster_stats.index"]], "unravel.cluster_stats.legend module": [[16, "module-unravel.cluster_stats.legend"]], "unravel.cluster_stats.org_data module": [[17, "module-unravel.cluster_stats.org_data"]], "unravel.cluster_stats.prism module": [[18, "module-unravel.cluster_stats.prism"]], "unravel.cluster_stats.recursively_mirror_rev_cluster_indices module": [[19, "module-unravel.cluster_stats.recursively_mirror_rev_cluster_indices"]], "unravel.cluster_stats.stats module": [[20, "module-unravel.cluster_stats.stats"]], "unravel.cluster_stats.stats_table module": [[21, "module-unravel.cluster_stats.stats_table"]], "unravel.cluster_stats.sunburst module": [[22, "module-unravel.cluster_stats.sunburst"]], "unravel.cluster_stats.table module": [[23, "module-unravel.cluster_stats.table"]], "unravel.core package": [[30, "unravel-core-package"]], "unravel.core.argparse_utils module": [[25, "module-unravel.core.argparse_utils"]], "unravel.core.argparse_utils_rich module": [[26, "module-unravel.core.argparse_utils_rich"]], "unravel.core.config module": [[27, "module-unravel.core.config"]], "unravel.core.img_io module": [[28, "module-unravel.core.img_io"]], "unravel.core.img_tools module": [[29, "module-unravel.core.img_tools"]], "unravel.core.utils module": [[31, "module-unravel.core.utils"]], "unravel.image_io package": [[43, "unravel-image-io-package"]], "unravel.image_io.h5_to_tifs module": [[32, "module-unravel.image_io.h5_to_tifs"]], "unravel.image_io.img_to_npy module": [[33, "module-unravel.image_io.img_to_npy"]], "unravel.image_io.io_img module": [[34, "module-unravel.image_io.io_img"]], "unravel.image_io.io_nii module": [[35, "module-unravel.image_io.io_nii"]], "unravel.image_io.metadata module": [[36, "module-unravel.image_io.metadata"]], "unravel.image_io.nii_hd module": [[37, "module-unravel.image_io.nii_hd"]], "unravel.image_io.nii_info module": [[38, "module-unravel.image_io.nii_info"]], "unravel.image_io.nii_to_tifs module": [[39, "module-unravel.image_io.nii_to_tifs"]], "unravel.image_io.nii_to_zarr module": [[40, "module-unravel.image_io.nii_to_zarr"]], "unravel.image_io.reorient_nii module": [[41, "module-unravel.image_io.reorient_nii"]], "unravel.image_io.tif_to_tifs module": [[42, "module-unravel.image_io.tif_to_tifs"]], "unravel.image_io.zarr_to_nii module": [[44, "module-unravel.image_io.zarr_to_nii"]], "unravel.image_tools package": [[57, "unravel-image-tools-package"]], "unravel.image_tools.DoG module": [[45, "module-unravel.image_tools.DoG"]], "unravel.image_tools.atlas package": [[47, "unravel-image-tools-atlas-package"]], "unravel.image_tools.atlas.relabel_nii module": [[46, "module-unravel.image_tools.atlas.relabel_nii"]], "unravel.image_tools.atlas.wireframe module": [[48, "module-unravel.image_tools.atlas.wireframe"]], "unravel.image_tools.avg module": [[49, "module-unravel.image_tools.avg"]], "unravel.image_tools.bbox module": [[50, "module-unravel.image_tools.bbox"]], "unravel.image_tools.extend module": [[51, "module-unravel.image_tools.extend"]], "unravel.image_tools.max module": [[52, "module-unravel.image_tools.max"]], "unravel.image_tools.pad module": [[53, "module-unravel.image_tools.pad"]], "unravel.image_tools.rb module": [[54, "module-unravel.image_tools.rb"]], "unravel.image_tools.resample module": [[55, "module-unravel.image_tools.resample"]], "unravel.image_tools.spatial_averaging module": [[56, "module-unravel.image_tools.spatial_averaging"]], "unravel.image_tools.transpose_axes module": [[58, "module-unravel.image_tools.transpose_axes"]], "unravel.image_tools.unique_intensities module": [[59, "module-unravel.image_tools.unique_intensities"]], "unravel.region_stats package": [[65, "unravel-region-stats-package"]], "unravel.region_stats.rstats module": [[60, "module-unravel.region_stats.rstats"]], "unravel.region_stats.rstats_mean_IF module": [[61, "module-unravel.region_stats.rstats_mean_IF"]], "unravel.region_stats.rstats_mean_IF_in_segmented_voxels module": [[62, "module-unravel.region_stats.rstats_mean_IF_in_segmented_voxels"]], "unravel.region_stats.rstats_mean_IF_summary module": [[63, "module-unravel.region_stats.rstats_mean_IF_summary"]], "unravel.region_stats.rstats_summary module": [[64, "module-unravel.region_stats.rstats_summary"]], "unravel.register package": [[71, "unravel-register-package"]], "unravel.register.affine_initializer module": [[66, "module-unravel.register.affine_initializer"]], "unravel.register.reg module": [[67, "module-unravel.register.reg"]], "unravel.register.reg_check module": [[68, "module-unravel.register.reg_check"]], "unravel.register.reg_check_brain_mask module": [[69, "module-unravel.register.reg_check_brain_mask"]], "unravel.register.reg_prep module": [[70, "module-unravel.register.reg_prep"]], "unravel.segment package": [[75, "unravel-segment-package"]], "unravel.segment.brain_mask module": [[72, "module-unravel.segment.brain_mask"]], "unravel.segment.copy_tifs module": [[73, "module-unravel.segment.copy_tifs"]], "unravel.segment.ilastik_pixel_classification module": [[74, "module-unravel.segment.ilastik_pixel_classification"]], "unravel.unravel_commands module": [[77, "module-unravel.unravel_commands"]], "unravel.utilities package": [[83, "unravel-utilities-package"]], "unravel.utilities.aggregate_files_from_sample_dirs module": [[78, "module-unravel.utilities.aggregate_files_from_sample_dirs"]], "unravel.utilities.aggregate_files_recursively module": [[79, "module-unravel.utilities.aggregate_files_recursively"]], "unravel.utilities.clean_tif_dirs module": [[80, "module-unravel.utilities.clean_tif_dirs"]], "unravel.utilities.prepend_conditions module": [[81, "module-unravel.utilities.prepend_conditions"]], "unravel.utilities.rename module": [[82, "module-unravel.utilities.rename"]], "unravel.utilities.toggle_samples module": [[84, "module-unravel.utilities.toggle_samples"]], "unravel.voxel_stats package": [[91, "unravel-voxel-stats-package"]], "unravel.voxel_stats.apply_mask module": [[85, "module-unravel.voxel_stats.apply_mask"]], "unravel.voxel_stats.hemi_to_LR_avg module": [[86, "module-unravel.voxel_stats.hemi_to_LR_avg"]], "unravel.voxel_stats.mirror module": [[87, "module-unravel.voxel_stats.mirror"]], "unravel.voxel_stats.other package": [[90, "unravel-voxel-stats-other-package"]], "unravel.voxel_stats.other.IF_outliers module": [[88, "module-unravel.voxel_stats.other.IF_outliers"]], "unravel.voxel_stats.other.r_to_p module": [[89, "module-unravel.voxel_stats.other.r_to_p"]], "unravel.voxel_stats.vstats module": [[92, "module-unravel.voxel_stats.vstats"]], "unravel.voxel_stats.vstats_prep module": [[93, "module-unravel.voxel_stats.vstats_prep"]], "unravel.voxel_stats.whole_to_LR_avg module": [[94, "module-unravel.voxel_stats.whole_to_LR_avg"]], "unravel.voxel_stats.z_score module": [[95, "module-unravel.voxel_stats.z_score"]], "unravel.warp package": [[99, "unravel-warp-package"]], "unravel.warp.to_atlas module": [[96, "module-unravel.warp.to_atlas"]], "unravel.warp.to_fixed module": [[97, "module-unravel.warp.to_fixed"]], "unravel.warp.to_native module": [[98, "module-unravel.warp.to_native"]], "unravel.warp.warp module": [[100, "module-unravel.warp.warp"]], "utils_agg_files": [[0, "utils-agg-files"]], "utils_clean_tifs": [[0, null]], "utils_prepend": [[0, "utils-prepend"]], "vstats": [[0, "vstats"]], "vstats_prep": [[0, "vstats-prep"]], "vstats_whole_to_avg": [[0, "vstats-whole-to-avg"]], "vstats_z_score": [[0, "vstats-z-score"]]}, "docnames": ["guide", "index", "installation", "unravel/cluster_stats/brain_model", "unravel/cluster_stats/cluster_summary", "unravel/cluster_stats/cluster_validation", "unravel/cluster_stats/crop", "unravel/cluster_stats/effect_sizes/effect_sizes", "unravel/cluster_stats/effect_sizes/effect_sizes_by_sex__absolute", "unravel/cluster_stats/effect_sizes/effect_sizes_by_sex__relative", "unravel/cluster_stats/effect_sizes/toc", "unravel/cluster_stats/fdr", "unravel/cluster_stats/fdr_range", "unravel/cluster_stats/find_incongruent_clusters", "unravel/cluster_stats/group_bilateral_data", "unravel/cluster_stats/index", "unravel/cluster_stats/legend", "unravel/cluster_stats/org_data", "unravel/cluster_stats/prism", "unravel/cluster_stats/recursively_mirror_rev_cluster_indices", "unravel/cluster_stats/stats", "unravel/cluster_stats/stats_table", "unravel/cluster_stats/sunburst", "unravel/cluster_stats/table", "unravel/cluster_stats/toc", "unravel/core/argparse_utils", "unravel/core/argparse_utils_rich", "unravel/core/config", "unravel/core/img_io", "unravel/core/img_tools", "unravel/core/toc", "unravel/core/utils", "unravel/image_io/h5_to_tifs", "unravel/image_io/img_to_npy", "unravel/image_io/io_img", "unravel/image_io/io_nii", "unravel/image_io/metadata", "unravel/image_io/nii_hd", "unravel/image_io/nii_info", "unravel/image_io/nii_to_tifs", "unravel/image_io/nii_to_zarr", "unravel/image_io/reorient_nii", "unravel/image_io/tif_to_tifs", "unravel/image_io/toc", "unravel/image_io/zarr_to_nii", "unravel/image_tools/DoG", "unravel/image_tools/atlas/relabel_nii", "unravel/image_tools/atlas/toc", "unravel/image_tools/atlas/wireframe", "unravel/image_tools/avg", "unravel/image_tools/bbox", "unravel/image_tools/extend", "unravel/image_tools/max", "unravel/image_tools/pad", "unravel/image_tools/rb", "unravel/image_tools/resample", "unravel/image_tools/spatial_averaging", "unravel/image_tools/toc", "unravel/image_tools/transpose_axes", "unravel/image_tools/unique_intensities", "unravel/region_stats/rstats", "unravel/region_stats/rstats_mean_IF", "unravel/region_stats/rstats_mean_IF_in_segmented_voxels", "unravel/region_stats/rstats_mean_IF_summary", "unravel/region_stats/rstats_summary", "unravel/region_stats/toc", "unravel/register/affine_initializer", "unravel/register/reg", "unravel/register/reg_check", "unravel/register/reg_check_brain_mask", "unravel/register/reg_prep", "unravel/register/toc", "unravel/segment/brain_mask", "unravel/segment/copy_tifs", "unravel/segment/ilastik_pixel_classification", "unravel/segment/toc", "unravel/toc", "unravel/unravel_commands", "unravel/utilities/aggregate_files_from_sample_dirs", "unravel/utilities/aggregate_files_recursively", "unravel/utilities/clean_tif_dirs", "unravel/utilities/prepend_conditions", "unravel/utilities/rename", "unravel/utilities/toc", "unravel/utilities/toggle_samples", "unravel/voxel_stats/apply_mask", "unravel/voxel_stats/hemi_to_LR_avg", "unravel/voxel_stats/mirror", "unravel/voxel_stats/other/IF_outliers", "unravel/voxel_stats/other/r_to_p", "unravel/voxel_stats/other/toc", "unravel/voxel_stats/toc", "unravel/voxel_stats/vstats", "unravel/voxel_stats/vstats_prep", "unravel/voxel_stats/whole_to_LR_avg", "unravel/voxel_stats/z_score", "unravel/warp/to_atlas", "unravel/warp/to_fixed", "unravel/warp/to_native", "unravel/warp/toc", "unravel/warp/warp"], "envversion": {"sphinx": 61, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1}, "filenames": ["guide.md", "index.rst", "installation.md", "unravel/cluster_stats/brain_model.rst", "unravel/cluster_stats/cluster_summary.rst", "unravel/cluster_stats/cluster_validation.rst", "unravel/cluster_stats/crop.rst", "unravel/cluster_stats/effect_sizes/effect_sizes.rst", "unravel/cluster_stats/effect_sizes/effect_sizes_by_sex__absolute.rst", "unravel/cluster_stats/effect_sizes/effect_sizes_by_sex__relative.rst", "unravel/cluster_stats/effect_sizes/toc.rst", "unravel/cluster_stats/fdr.rst", "unravel/cluster_stats/fdr_range.rst", "unravel/cluster_stats/find_incongruent_clusters.rst", "unravel/cluster_stats/group_bilateral_data.rst", "unravel/cluster_stats/index.rst", "unravel/cluster_stats/legend.rst", "unravel/cluster_stats/org_data.rst", "unravel/cluster_stats/prism.rst", "unravel/cluster_stats/recursively_mirror_rev_cluster_indices.rst", "unravel/cluster_stats/stats.rst", "unravel/cluster_stats/stats_table.rst", "unravel/cluster_stats/sunburst.rst", "unravel/cluster_stats/table.rst", "unravel/cluster_stats/toc.rst", "unravel/core/argparse_utils.rst", "unravel/core/argparse_utils_rich.rst", "unravel/core/config.rst", "unravel/core/img_io.rst", "unravel/core/img_tools.rst", "unravel/core/toc.rst", "unravel/core/utils.rst", "unravel/image_io/h5_to_tifs.rst", "unravel/image_io/img_to_npy.rst", "unravel/image_io/io_img.rst", "unravel/image_io/io_nii.rst", "unravel/image_io/metadata.rst", "unravel/image_io/nii_hd.rst", "unravel/image_io/nii_info.rst", "unravel/image_io/nii_to_tifs.rst", "unravel/image_io/nii_to_zarr.rst", "unravel/image_io/reorient_nii.rst", "unravel/image_io/tif_to_tifs.rst", "unravel/image_io/toc.rst", "unravel/image_io/zarr_to_nii.rst", "unravel/image_tools/DoG.rst", "unravel/image_tools/atlas/relabel_nii.rst", "unravel/image_tools/atlas/toc.rst", "unravel/image_tools/atlas/wireframe.rst", "unravel/image_tools/avg.rst", "unravel/image_tools/bbox.rst", "unravel/image_tools/extend.rst", "unravel/image_tools/max.rst", "unravel/image_tools/pad.rst", "unravel/image_tools/rb.rst", "unravel/image_tools/resample.rst", "unravel/image_tools/spatial_averaging.rst", "unravel/image_tools/toc.rst", "unravel/image_tools/transpose_axes.rst", "unravel/image_tools/unique_intensities.rst", "unravel/region_stats/rstats.rst", "unravel/region_stats/rstats_mean_IF.rst", "unravel/region_stats/rstats_mean_IF_in_segmented_voxels.rst", "unravel/region_stats/rstats_mean_IF_summary.rst", "unravel/region_stats/rstats_summary.rst", "unravel/region_stats/toc.rst", "unravel/register/affine_initializer.rst", "unravel/register/reg.rst", "unravel/register/reg_check.rst", "unravel/register/reg_check_brain_mask.rst", "unravel/register/reg_prep.rst", "unravel/register/toc.rst", "unravel/segment/brain_mask.rst", "unravel/segment/copy_tifs.rst", "unravel/segment/ilastik_pixel_classification.rst", "unravel/segment/toc.rst", "unravel/toc.rst", "unravel/unravel_commands.rst", "unravel/utilities/aggregate_files_from_sample_dirs.rst", "unravel/utilities/aggregate_files_recursively.rst", "unravel/utilities/clean_tif_dirs.rst", "unravel/utilities/prepend_conditions.rst", "unravel/utilities/rename.rst", "unravel/utilities/toc.rst", "unravel/utilities/toggle_samples.rst", "unravel/voxel_stats/apply_mask.rst", "unravel/voxel_stats/hemi_to_LR_avg.rst", "unravel/voxel_stats/mirror.rst", "unravel/voxel_stats/other/IF_outliers.rst", "unravel/voxel_stats/other/r_to_p.rst", "unravel/voxel_stats/other/toc.rst", "unravel/voxel_stats/toc.rst", "unravel/voxel_stats/vstats.rst", "unravel/voxel_stats/vstats_prep.rst", "unravel/voxel_stats/whole_to_LR_avg.rst", "unravel/voxel_stats/z_score.rst", "unravel/warp/to_atlas.rst", "unravel/warp/to_fixed.rst", "unravel/warp/to_native.rst", "unravel/warp/toc.rst", "unravel/warp/warp.rst"], "indexentries": {"affine_initializer_wrapper() (in module unravel.register.affine_initializer)": [[66, "unravel.register.affine_initializer.affine_initializer_wrapper", false]], "aggregate_files_from_sample_dirs() (in module unravel.utilities.aggregate_files_from_sample_dirs)": [[78, "unravel.utilities.aggregate_files_from_sample_dirs.aggregate_files_from_sample_dirs", false]], "apply_2d_mean_filter() (in module unravel.image_tools.spatial_averaging)": [[56, "unravel.image_tools.spatial_averaging.apply_2D_mean_filter", false]], "apply_mask_to_ndarray() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.apply_mask_to_ndarray", false]], "apply_rgb_to_cell() (in module unravel.cluster_stats.legend)": [[16, "unravel.cluster_stats.legend.apply_rgb_to_cell", false]], "attrdict (class in unravel.core.config)": [[27, "unravel.core.config.AttrDict", false]], "averagetimeperiterationcolumn (class in unravel.core.utils)": [[31, "unravel.core.utils.AverageTimePerIterationColumn", false]], "bias_correction() (in module unravel.register.reg)": [[67, "unravel.register.reg.bias_correction", false]], "calculate_fragments() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.calculate_fragments", false]], "calculate_mean_intensity() (in module unravel.region_stats.rstats_mean_if)": [[61, "unravel.region_stats.rstats_mean_IF.calculate_mean_intensity", false]], "calculate_mean_intensity() (in module unravel.region_stats.rstats_mean_if_in_segmented_voxels)": [[62, "unravel.region_stats.rstats_mean_IF_in_segmented_voxels.calculate_mean_intensity", false]], "calculate_padded_dimensions() (in module unravel.warp.to_fixed)": [[97, "unravel.warp.to_fixed.calculate_padded_dimensions", false]], "calculate_regional_cell_densities() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.calculate_regional_cell_densities", false]], "calculate_regional_volumes() (in module unravel.cluster_stats.sunburst)": [[22, "unravel.cluster_stats.sunburst.calculate_regional_volumes", false]], "calculate_regional_volumes() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.calculate_regional_volumes", false]], "calculate_resampled_padded_dimensions() (in module unravel.warp.to_native)": [[98, "unravel.warp.to_native.calculate_resampled_padded_dimensions", false]], "calculate_top_regions() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.calculate_top_regions", false]], "can_collapse() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.can_collapse", false]], "check_fdr_command() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.check_fdr_command", false]], "clean_tifs_dir() (in module unravel.utilities.clean_tif_dirs)": [[80, "unravel.utilities.clean_tif_dirs.clean_tifs_dir", false]], "cluster_bbox() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.cluster_bbox", false]], "cluster_bbox_parallel() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.cluster_bbox_parallel", false]], "cluster_ids() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.cluster_IDs", false]], "cluster_index() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.cluster_index", false]], "cluster_summary() (in module unravel.cluster_stats.stats_table)": [[21, "unravel.cluster_stats.stats_table.cluster_summary", false]], "cluster_validation_data_df() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.cluster_validation_data_df", false]], "collapse_hierarchy() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.collapse_hierarchy", false]], "condition_selector() (in module unravel.cluster_stats.effect_sizes.effect_sizes)": [[7, "unravel.cluster_stats.effect_sizes.effect_sizes.condition_selector", false]], "condition_selector() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute)": [[8, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute.condition_selector", false]], "condition_selector() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.condition_selector", false]], "condition_selector() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.condition_selector", false]], "config (class in unravel.core.config)": [[27, "unravel.core.config.Config", false]], "configuration (class in unravel.core.config)": [[27, "unravel.core.config.Configuration", false]], "convert_dtype() (in module unravel.image_io.io_nii)": [[35, "unravel.image_io.io_nii.convert_dtype", false]], "copy_files() (in module unravel.core.utils)": [[31, "unravel.core.utils.copy_files", false]], "copy_nii_header() (in module unravel.warp.to_atlas)": [[96, "unravel.warp.to_atlas.copy_nii_header", false]], "copy_specific_slices() (in module unravel.segment.copy_tifs)": [[73, "unravel.segment.copy_tifs.copy_specific_slices", false]], "copy_stats_files() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.copy_stats_files", false]], "count_cells() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.count_cells", false]], "count_cells_in_regions() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.count_cells_in_regions", false]], "count_files() (in module unravel.segment.ilastik_pixel_classification)": [[74, "unravel.segment.ilastik_pixel_classification.count_files", false]], "cp() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.cp", false]], "create_design_ttest2() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.create_design_ttest2", false]], "crop() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.crop", false]], "crop_outer_space() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.crop_outer_space", false]], "custommofncompletecolumn (class in unravel.core.utils)": [[31, "unravel.core.utils.CustomMofNCompleteColumn", false]], "customtimeelapsedcolumn (class in unravel.core.utils)": [[31, "unravel.core.utils.CustomTimeElapsedColumn", false]], "customtimeremainingcolumn (class in unravel.core.utils)": [[31, "unravel.core.utils.CustomTimeRemainingColumn", false]], "define_zarr_to_nii_output() (in module unravel.image_io.zarr_to_nii)": [[44, "unravel.image_io.zarr_to_nii.define_zarr_to_nii_output", false]], "density_in_cluster() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.density_in_cluster", false]], "density_in_cluster_parallel() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.density_in_cluster_parallel", false]], "detect_outliers() (in module unravel.voxel_stats.other.if_outliers)": [[88, "unravel.voxel_stats.other.IF_outliers.detect_outliers", false]], "difference_of_gaussians() (in module unravel.image_tools.dog)": [[45, "unravel.image_tools.DoG.difference_of_gaussians", false]], "dilate_mask() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.dilate_mask", false]], "extend_one_side_3d_array() (in module unravel.image_tools.extend)": [[51, "unravel.image_tools.extend.extend_one_side_3d_array", false]], "extract_resolution() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.extract_resolution", false]], "extract_unique_regions_from_file() (in module unravel.cluster_stats.legend)": [[16, "unravel.cluster_stats.legend.extract_unique_regions_from_file", false]], "fdr() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.fdr", false]], "fdr_range() (in module unravel.cluster_stats.fdr_range)": [[12, "unravel.cluster_stats.fdr_range.fdr_range", false]], "fill_na_with_last_known() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.fill_na_with_last_known", false]], "filter_dataframe() (in module unravel.cluster_stats.effect_sizes.effect_sizes)": [[7, "unravel.cluster_stats.effect_sizes.effect_sizes.filter_dataframe", false]], "filter_dataframe() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute)": [[8, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute.filter_dataframe", false]], "filter_dataframe() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.filter_dataframe", false]], "filter_region_ids() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.filter_region_ids", false]], "find_and_copy_files() (in module unravel.utilities.aggregate_files_recursively)": [[79, "unravel.utilities.aggregate_files_recursively.find_and_copy_files", false]], "find_bounding_box() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.find_bounding_box", false]], "find_incongruent_clusters() (in module unravel.cluster_stats.find_incongruent_clusters)": [[13, "unravel.cluster_stats.find_incongruent_clusters.find_incongruent_clusters", false]], "find_largest_h5_file() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.find_largest_h5_file", false]], "find_largest_tif_file() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.find_largest_tif_file", false]], "find_matching_directory() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.find_matching_directory", false]], "find_max_intensity() (in module unravel.image_tools.max)": [[52, "unravel.image_tools.max.find_max_intensity", false]], "forward_warp() (in module unravel.warp.to_fixed)": [[97, "unravel.warp.to_fixed.forward_warp", false]], "generate_summary_table() (in module unravel.cluster_stats.prism)": [[18, "unravel.cluster_stats.prism.generate_summary_table", false]], "generate_sunburst() (in module unravel.cluster_stats.index)": [[15, "unravel.cluster_stats.index.generate_sunburst", false]], "generate_wireframe() (in module unravel.image_tools.atlas.wireframe)": [[48, "unravel.image_tools.atlas.wireframe.generate_wireframe", false]], "get_all_region_ids() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.get_all_region_ids", false]], "get_atlas_region_at_coords() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.get_atlas_region_at_coords", false]], "get_dims_from_tifs() (in module unravel.image_io.metadata)": [[36, "unravel.image_io.metadata.get_dims_from_tifs", false]], "get_dir_name_from_args() (in module unravel.core.utils)": [[31, "unravel.core.utils.get_dir_name_from_args", false]], "get_fill_color() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.get_fill_color", false]], "get_groups_info() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.get_groups_info", false]], "get_max_region_id_from_csvs() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.get_max_region_id_from_csvs", false]], "get_region_details() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.get_region_details", false]], "get_region_details() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.get_region_details", false]], "get_samples() (in module unravel.core.utils)": [[31, "unravel.core.utils.get_samples", false]], "get_top_regions_and_percent_vols() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.get_top_regions_and_percent_vols", false]], "group_hemisphere_data() (in module unravel.cluster_stats.group_bilateral_data)": [[14, "unravel.cluster_stats.group_bilateral_data.group_hemisphere_data", false]], "hedges_g() (in module unravel.cluster_stats.effect_sizes.effect_sizes)": [[7, "unravel.cluster_stats.effect_sizes.effect_sizes.hedges_g", false]], "hedges_g() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute)": [[8, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute.hedges_g", false]], "hemi_to_lr_avg() (in module unravel.voxel_stats.hemi_to_lr_avg)": [[86, "unravel.voxel_stats.hemi_to_LR_avg.hemi_to_LR_avg", false]], "initialize_progress_bar() (in module unravel.core.utils)": [[31, "unravel.core.utils.initialize_progress_bar", false]], "load_3d_img() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_3D_img", false]], "load_3d_tif() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.load_3D_tif", false]], "load_config() (in module unravel.core.utils)": [[31, "unravel.core.utils.load_config", false]], "load_czi() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_czi", false]], "load_data() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.load_data", false]], "load_h5() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_h5", false]], "load_h5() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.load_h5", false]], "load_image_metadata_from_txt() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_image_metadata_from_txt", false]], "load_mask() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.load_mask", false]], "load_nii() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_nii", false]], "load_nii_orientation() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_nii_orientation", false]], "load_nii_subset() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_nii_subset", false]], "load_text_from_file() (in module unravel.core.utils)": [[31, "unravel.core.utils.load_text_from_file", false]], "load_tif() (in module unravel.image_tools.dog)": [[45, "unravel.image_tools.DoG.load_tif", false]], "load_tif() (in module unravel.image_tools.rb)": [[54, "unravel.image_tools.rb.load_tif", false]], "load_tifs() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_tifs", false]], "load_zarr() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.load_zarr", false]], "log_command() (in module unravel.core.utils)": [[31, "unravel.core.utils.log_command", false]], "main() (in module unravel.cluster_stats.brain_model)": [[3, "unravel.cluster_stats.brain_model.main", false]], "main() (in module unravel.cluster_stats.cluster_summary)": [[4, "unravel.cluster_stats.cluster_summary.main", false]], "main() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.main", false]], "main() (in module unravel.cluster_stats.crop)": [[6, "unravel.cluster_stats.crop.main", false]], "main() (in module unravel.cluster_stats.effect_sizes.effect_sizes)": [[7, "unravel.cluster_stats.effect_sizes.effect_sizes.main", false]], "main() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute)": [[8, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute.main", false]], "main() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.main", false]], "main() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.main", false]], "main() (in module unravel.cluster_stats.fdr_range)": [[12, "unravel.cluster_stats.fdr_range.main", false]], "main() (in module unravel.cluster_stats.find_incongruent_clusters)": [[13, "unravel.cluster_stats.find_incongruent_clusters.main", false]], "main() (in module unravel.cluster_stats.group_bilateral_data)": [[14, "unravel.cluster_stats.group_bilateral_data.main", false]], "main() (in module unravel.cluster_stats.index)": [[15, "unravel.cluster_stats.index.main", false]], "main() (in module unravel.cluster_stats.legend)": [[16, "unravel.cluster_stats.legend.main", false]], "main() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.main", false]], "main() (in module unravel.cluster_stats.prism)": [[18, "unravel.cluster_stats.prism.main", false]], "main() (in module unravel.cluster_stats.recursively_mirror_rev_cluster_indices)": [[19, "unravel.cluster_stats.recursively_mirror_rev_cluster_indices.main", false]], "main() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.main", false]], "main() (in module unravel.cluster_stats.stats_table)": [[21, "unravel.cluster_stats.stats_table.main", false]], "main() (in module unravel.cluster_stats.sunburst)": [[22, "unravel.cluster_stats.sunburst.main", false]], "main() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.main", false]], "main() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.main", false]], "main() (in module unravel.image_io.img_to_npy)": [[33, "unravel.image_io.img_to_npy.main", false]], "main() (in module unravel.image_io.io_img)": [[34, "unravel.image_io.io_img.main", false]], "main() (in module unravel.image_io.io_nii)": [[35, "unravel.image_io.io_nii.main", false]], "main() (in module unravel.image_io.metadata)": [[36, "unravel.image_io.metadata.main", false]], "main() (in module unravel.image_io.nii_hd)": [[37, "unravel.image_io.nii_hd.main", false]], "main() (in module unravel.image_io.nii_info)": [[38, "unravel.image_io.nii_info.main", false]], "main() (in module unravel.image_io.nii_to_tifs)": [[39, "unravel.image_io.nii_to_tifs.main", false]], "main() (in module unravel.image_io.nii_to_zarr)": [[40, "unravel.image_io.nii_to_zarr.main", false]], "main() (in module unravel.image_io.reorient_nii)": [[41, "unravel.image_io.reorient_nii.main", false]], "main() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.main", false]], "main() (in module unravel.image_io.zarr_to_nii)": [[44, "unravel.image_io.zarr_to_nii.main", false]], "main() (in module unravel.image_tools.atlas.relabel_nii)": [[46, "unravel.image_tools.atlas.relabel_nii.main", false]], "main() (in module unravel.image_tools.atlas.wireframe)": [[48, "unravel.image_tools.atlas.wireframe.main", false]], "main() (in module unravel.image_tools.avg)": [[49, "unravel.image_tools.avg.main", false]], "main() (in module unravel.image_tools.bbox)": [[50, "unravel.image_tools.bbox.main", false]], "main() (in module unravel.image_tools.dog)": [[45, "unravel.image_tools.DoG.main", false]], "main() (in module unravel.image_tools.extend)": [[51, "unravel.image_tools.extend.main", false]], "main() (in module unravel.image_tools.max)": [[52, "unravel.image_tools.max.main", false]], "main() (in module unravel.image_tools.pad)": [[53, "unravel.image_tools.pad.main", false]], "main() (in module unravel.image_tools.rb)": [[54, "unravel.image_tools.rb.main", false]], "main() (in module unravel.image_tools.resample)": [[55, "unravel.image_tools.resample.main", false]], "main() (in module unravel.image_tools.spatial_averaging)": [[56, "unravel.image_tools.spatial_averaging.main", false]], "main() (in module unravel.image_tools.transpose_axes)": [[58, "unravel.image_tools.transpose_axes.main", false]], "main() (in module unravel.image_tools.unique_intensities)": [[59, "unravel.image_tools.unique_intensities.main", false]], "main() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.main", false]], "main() (in module unravel.region_stats.rstats_mean_if)": [[61, "unravel.region_stats.rstats_mean_IF.main", false]], "main() (in module unravel.region_stats.rstats_mean_if_in_segmented_voxels)": [[62, "unravel.region_stats.rstats_mean_IF_in_segmented_voxels.main", false]], "main() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.main", false]], "main() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.main", false]], "main() (in module unravel.register.affine_initializer)": [[66, "unravel.register.affine_initializer.main", false]], "main() (in module unravel.register.reg)": [[67, "unravel.register.reg.main", false]], "main() (in module unravel.register.reg_check)": [[68, "unravel.register.reg_check.main", false]], "main() (in module unravel.register.reg_check_brain_mask)": [[69, "unravel.register.reg_check_brain_mask.main", false]], "main() (in module unravel.register.reg_prep)": [[70, "unravel.register.reg_prep.main", false]], "main() (in module unravel.segment.brain_mask)": [[72, "unravel.segment.brain_mask.main", false]], "main() (in module unravel.segment.copy_tifs)": [[73, "unravel.segment.copy_tifs.main", false]], "main() (in module unravel.segment.ilastik_pixel_classification)": [[74, "unravel.segment.ilastik_pixel_classification.main", false]], "main() (in module unravel.unravel_commands)": [[77, "unravel.unravel_commands.main", false]], "main() (in module unravel.utilities.aggregate_files_from_sample_dirs)": [[78, "unravel.utilities.aggregate_files_from_sample_dirs.main", false]], "main() (in module unravel.utilities.aggregate_files_recursively)": [[79, "unravel.utilities.aggregate_files_recursively.main", false]], "main() (in module unravel.utilities.clean_tif_dirs)": [[80, "unravel.utilities.clean_tif_dirs.main", false]], "main() (in module unravel.utilities.prepend_conditions)": [[81, "unravel.utilities.prepend_conditions.main", false]], "main() (in module unravel.utilities.rename)": [[82, "unravel.utilities.rename.main", false]], "main() (in module unravel.utilities.toggle_samples)": [[84, "unravel.utilities.toggle_samples.main", false]], "main() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.main", false]], "main() (in module unravel.voxel_stats.hemi_to_lr_avg)": [[86, "unravel.voxel_stats.hemi_to_LR_avg.main", false]], "main() (in module unravel.voxel_stats.mirror)": [[87, "unravel.voxel_stats.mirror.main", false]], "main() (in module unravel.voxel_stats.other.if_outliers)": [[88, "unravel.voxel_stats.other.IF_outliers.main", false]], "main() (in module unravel.voxel_stats.other.r_to_p)": [[89, "unravel.voxel_stats.other.r_to_p.main", false]], "main() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.main", false]], "main() (in module unravel.voxel_stats.vstats_prep)": [[93, "unravel.voxel_stats.vstats_prep.main", false]], "main() (in module unravel.voxel_stats.whole_to_lr_avg)": [[94, "unravel.voxel_stats.whole_to_LR_avg.main", false]], "main() (in module unravel.voxel_stats.z_score)": [[95, "unravel.voxel_stats.z_score.main", false]], "main() (in module unravel.warp.to_atlas)": [[96, "unravel.warp.to_atlas.main", false]], "main() (in module unravel.warp.to_fixed)": [[97, "unravel.warp.to_fixed.main", false]], "main() (in module unravel.warp.to_native)": [[98, "unravel.warp.to_native.main", false]], "main() (in module unravel.warp.warp)": [[100, "unravel.warp.warp.main", false]], "mean_intensity_in_brain() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.mean_intensity_in_brain", false]], "mean_intensity_within_mask() (in module unravel.voxel_stats.other.if_outliers)": [[88, "unravel.voxel_stats.other.IF_outliers.mean_intensity_within_mask", false]], "mean_std_count() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.mean_std_count", false]], "metadata() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.metadata", false]], "metadata_from_3d_tif() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.metadata_from_3D_tif", false]], "metadata_from_h5() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.metadata_from_h5", false]], "mirror() (in module unravel.voxel_stats.mirror)": [[87, "unravel.voxel_stats.mirror.mirror", false]], "module": [[3, "module-unravel.cluster_stats.brain_model", false], [4, "module-unravel.cluster_stats.cluster_summary", false], [5, "module-unravel.cluster_stats.cluster_validation", false], [6, "module-unravel.cluster_stats.crop", false], [7, "module-unravel.cluster_stats.effect_sizes.effect_sizes", false], [8, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute", false], [9, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative", false], [11, "module-unravel.cluster_stats.fdr", false], [12, "module-unravel.cluster_stats.fdr_range", false], [13, "module-unravel.cluster_stats.find_incongruent_clusters", false], [14, "module-unravel.cluster_stats.group_bilateral_data", false], [15, "module-unravel.cluster_stats.index", false], [16, "module-unravel.cluster_stats.legend", false], [17, "module-unravel.cluster_stats.org_data", false], [18, "module-unravel.cluster_stats.prism", false], [19, "module-unravel.cluster_stats.recursively_mirror_rev_cluster_indices", false], [20, "module-unravel.cluster_stats.stats", false], [21, "module-unravel.cluster_stats.stats_table", false], [22, "module-unravel.cluster_stats.sunburst", false], [23, "module-unravel.cluster_stats.table", false], [25, "module-unravel.core.argparse_utils", false], [26, "module-unravel.core.argparse_utils_rich", false], [27, "module-unravel.core.config", false], [28, "module-unravel.core.img_io", false], [29, "module-unravel.core.img_tools", false], [31, "module-unravel.core.utils", false], [32, "module-unravel.image_io.h5_to_tifs", false], [33, "module-unravel.image_io.img_to_npy", false], [34, "module-unravel.image_io.io_img", false], [35, "module-unravel.image_io.io_nii", false], [36, "module-unravel.image_io.metadata", false], [37, "module-unravel.image_io.nii_hd", false], [38, "module-unravel.image_io.nii_info", false], [39, "module-unravel.image_io.nii_to_tifs", false], [40, "module-unravel.image_io.nii_to_zarr", false], [41, "module-unravel.image_io.reorient_nii", false], [42, "module-unravel.image_io.tif_to_tifs", false], [44, "module-unravel.image_io.zarr_to_nii", false], [45, "module-unravel.image_tools.DoG", false], [46, "module-unravel.image_tools.atlas.relabel_nii", false], [48, "module-unravel.image_tools.atlas.wireframe", false], [49, "module-unravel.image_tools.avg", false], [50, "module-unravel.image_tools.bbox", false], [51, "module-unravel.image_tools.extend", false], [52, "module-unravel.image_tools.max", false], [53, "module-unravel.image_tools.pad", false], [54, "module-unravel.image_tools.rb", false], [55, "module-unravel.image_tools.resample", false], [56, "module-unravel.image_tools.spatial_averaging", false], [58, "module-unravel.image_tools.transpose_axes", false], [59, "module-unravel.image_tools.unique_intensities", false], [60, "module-unravel.region_stats.rstats", false], [61, "module-unravel.region_stats.rstats_mean_IF", false], [62, "module-unravel.region_stats.rstats_mean_IF_in_segmented_voxels", false], [63, "module-unravel.region_stats.rstats_mean_IF_summary", false], [64, "module-unravel.region_stats.rstats_summary", false], [66, "module-unravel.register.affine_initializer", false], [67, "module-unravel.register.reg", false], [68, "module-unravel.register.reg_check", false], [69, "module-unravel.register.reg_check_brain_mask", false], [70, "module-unravel.register.reg_prep", false], [72, "module-unravel.segment.brain_mask", false], [73, "module-unravel.segment.copy_tifs", false], [74, "module-unravel.segment.ilastik_pixel_classification", false], [77, "module-unravel.unravel_commands", false], [78, "module-unravel.utilities.aggregate_files_from_sample_dirs", false], [79, "module-unravel.utilities.aggregate_files_recursively", false], [80, "module-unravel.utilities.clean_tif_dirs", false], [81, "module-unravel.utilities.prepend_conditions", false], [82, "module-unravel.utilities.rename", false], [84, "module-unravel.utilities.toggle_samples", false], [85, "module-unravel.voxel_stats.apply_mask", false], [86, "module-unravel.voxel_stats.hemi_to_LR_avg", false], [87, "module-unravel.voxel_stats.mirror", false], [88, "module-unravel.voxel_stats.other.IF_outliers", false], [89, "module-unravel.voxel_stats.other.r_to_p", false], [92, "module-unravel.voxel_stats.vstats", false], [93, "module-unravel.voxel_stats.vstats_prep", false], [94, "module-unravel.voxel_stats.whole_to_LR_avg", false], [95, "module-unravel.voxel_stats.z_score", false], [96, "module-unravel.warp.to_atlas", false], [97, "module-unravel.warp.to_fixed", false], [98, "module-unravel.warp.to_native", false], [100, "module-unravel.warp.warp", false]], "nii_axis_codes() (in module unravel.image_io.nii_info)": [[38, "unravel.image_io.nii_info.nii_axis_codes", false]], "nii_to_ndarray() (in module unravel.image_io.nii_to_zarr)": [[40, "unravel.image_io.nii_to_zarr.nii_to_ndarray", false]], "nii_to_tifs() (in module unravel.image_io.nii_to_tifs)": [[39, "unravel.image_io.nii_to_tifs.nii_to_tifs", false]], "organize_validation_data() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.organize_validation_data", false]], "pad() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.pad", false]], "parse_args() (in module unravel.cluster_stats.brain_model)": [[3, "unravel.cluster_stats.brain_model.parse_args", false]], "parse_args() (in module unravel.cluster_stats.cluster_summary)": [[4, "unravel.cluster_stats.cluster_summary.parse_args", false]], "parse_args() (in module unravel.cluster_stats.cluster_validation)": [[5, "unravel.cluster_stats.cluster_validation.parse_args", false]], "parse_args() (in module unravel.cluster_stats.crop)": [[6, "unravel.cluster_stats.crop.parse_args", false]], "parse_args() (in module unravel.cluster_stats.effect_sizes.effect_sizes)": [[7, "unravel.cluster_stats.effect_sizes.effect_sizes.parse_args", false]], "parse_args() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute)": [[8, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute.parse_args", false]], "parse_args() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.parse_args", false]], "parse_args() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.parse_args", false]], "parse_args() (in module unravel.cluster_stats.fdr_range)": [[12, "unravel.cluster_stats.fdr_range.parse_args", false]], "parse_args() (in module unravel.cluster_stats.find_incongruent_clusters)": [[13, "unravel.cluster_stats.find_incongruent_clusters.parse_args", false]], "parse_args() (in module unravel.cluster_stats.group_bilateral_data)": [[14, "unravel.cluster_stats.group_bilateral_data.parse_args", false]], "parse_args() (in module unravel.cluster_stats.index)": [[15, "unravel.cluster_stats.index.parse_args", false]], "parse_args() (in module unravel.cluster_stats.legend)": [[16, "unravel.cluster_stats.legend.parse_args", false]], "parse_args() (in module unravel.cluster_stats.org_data)": [[17, "unravel.cluster_stats.org_data.parse_args", false]], "parse_args() (in module unravel.cluster_stats.prism)": [[18, "unravel.cluster_stats.prism.parse_args", false]], "parse_args() (in module unravel.cluster_stats.recursively_mirror_rev_cluster_indices)": [[19, "unravel.cluster_stats.recursively_mirror_rev_cluster_indices.parse_args", false]], "parse_args() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.parse_args", false]], "parse_args() (in module unravel.cluster_stats.stats_table)": [[21, "unravel.cluster_stats.stats_table.parse_args", false]], "parse_args() (in module unravel.cluster_stats.sunburst)": [[22, "unravel.cluster_stats.sunburst.parse_args", false]], "parse_args() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.parse_args", false]], "parse_args() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.parse_args", false]], "parse_args() (in module unravel.image_io.img_to_npy)": [[33, "unravel.image_io.img_to_npy.parse_args", false]], "parse_args() (in module unravel.image_io.io_img)": [[34, "unravel.image_io.io_img.parse_args", false]], "parse_args() (in module unravel.image_io.io_nii)": [[35, "unravel.image_io.io_nii.parse_args", false]], "parse_args() (in module unravel.image_io.metadata)": [[36, "unravel.image_io.metadata.parse_args", false]], "parse_args() (in module unravel.image_io.nii_hd)": [[37, "unravel.image_io.nii_hd.parse_args", false]], "parse_args() (in module unravel.image_io.nii_info)": [[38, "unravel.image_io.nii_info.parse_args", false]], "parse_args() (in module unravel.image_io.nii_to_tifs)": [[39, "unravel.image_io.nii_to_tifs.parse_args", false]], "parse_args() (in module unravel.image_io.nii_to_zarr)": [[40, "unravel.image_io.nii_to_zarr.parse_args", false]], "parse_args() (in module unravel.image_io.reorient_nii)": [[41, "unravel.image_io.reorient_nii.parse_args", false]], "parse_args() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.parse_args", false]], "parse_args() (in module unravel.image_io.zarr_to_nii)": [[44, "unravel.image_io.zarr_to_nii.parse_args", false]], "parse_args() (in module unravel.image_tools.atlas.relabel_nii)": [[46, "unravel.image_tools.atlas.relabel_nii.parse_args", false]], "parse_args() (in module unravel.image_tools.atlas.wireframe)": [[48, "unravel.image_tools.atlas.wireframe.parse_args", false]], "parse_args() (in module unravel.image_tools.avg)": [[49, "unravel.image_tools.avg.parse_args", false]], "parse_args() (in module unravel.image_tools.bbox)": [[50, "unravel.image_tools.bbox.parse_args", false]], "parse_args() (in module unravel.image_tools.dog)": [[45, "unravel.image_tools.DoG.parse_args", false]], "parse_args() (in module unravel.image_tools.extend)": [[51, "unravel.image_tools.extend.parse_args", false]], "parse_args() (in module unravel.image_tools.max)": [[52, "unravel.image_tools.max.parse_args", false]], "parse_args() (in module unravel.image_tools.pad)": [[53, "unravel.image_tools.pad.parse_args", false]], "parse_args() (in module unravel.image_tools.rb)": [[54, "unravel.image_tools.rb.parse_args", false]], "parse_args() (in module unravel.image_tools.resample)": [[55, "unravel.image_tools.resample.parse_args", false]], "parse_args() (in module unravel.image_tools.spatial_averaging)": [[56, "unravel.image_tools.spatial_averaging.parse_args", false]], "parse_args() (in module unravel.image_tools.transpose_axes)": [[58, "unravel.image_tools.transpose_axes.parse_args", false]], "parse_args() (in module unravel.image_tools.unique_intensities)": [[59, "unravel.image_tools.unique_intensities.parse_args", false]], "parse_args() (in module unravel.region_stats.rstats)": [[60, "unravel.region_stats.rstats.parse_args", false]], "parse_args() (in module unravel.region_stats.rstats_mean_if)": [[61, "unravel.region_stats.rstats_mean_IF.parse_args", false]], "parse_args() (in module unravel.region_stats.rstats_mean_if_in_segmented_voxels)": [[62, "unravel.region_stats.rstats_mean_IF_in_segmented_voxels.parse_args", false]], "parse_args() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.parse_args", false]], "parse_args() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.parse_args", false]], "parse_args() (in module unravel.register.affine_initializer)": [[66, "unravel.register.affine_initializer.parse_args", false]], "parse_args() (in module unravel.register.reg)": [[67, "unravel.register.reg.parse_args", false]], "parse_args() (in module unravel.register.reg_check)": [[68, "unravel.register.reg_check.parse_args", false]], "parse_args() (in module unravel.register.reg_check_brain_mask)": [[69, "unravel.register.reg_check_brain_mask.parse_args", false]], "parse_args() (in module unravel.register.reg_prep)": [[70, "unravel.register.reg_prep.parse_args", false]], "parse_args() (in module unravel.segment.brain_mask)": [[72, "unravel.segment.brain_mask.parse_args", false]], "parse_args() (in module unravel.segment.copy_tifs)": [[73, "unravel.segment.copy_tifs.parse_args", false]], "parse_args() (in module unravel.segment.ilastik_pixel_classification)": [[74, "unravel.segment.ilastik_pixel_classification.parse_args", false]], "parse_args() (in module unravel.unravel_commands)": [[77, "unravel.unravel_commands.parse_args", false]], "parse_args() (in module unravel.utilities.aggregate_files_from_sample_dirs)": [[78, "unravel.utilities.aggregate_files_from_sample_dirs.parse_args", false]], "parse_args() (in module unravel.utilities.aggregate_files_recursively)": [[79, "unravel.utilities.aggregate_files_recursively.parse_args", false]], "parse_args() (in module unravel.utilities.clean_tif_dirs)": [[80, "unravel.utilities.clean_tif_dirs.parse_args", false]], "parse_args() (in module unravel.utilities.prepend_conditions)": [[81, "unravel.utilities.prepend_conditions.parse_args", false]], "parse_args() (in module unravel.utilities.rename)": [[82, "unravel.utilities.rename.parse_args", false]], "parse_args() (in module unravel.utilities.toggle_samples)": [[84, "unravel.utilities.toggle_samples.parse_args", false]], "parse_args() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.parse_args", false]], "parse_args() (in module unravel.voxel_stats.hemi_to_lr_avg)": [[86, "unravel.voxel_stats.hemi_to_LR_avg.parse_args", false]], "parse_args() (in module unravel.voxel_stats.mirror)": [[87, "unravel.voxel_stats.mirror.parse_args", false]], "parse_args() (in module unravel.voxel_stats.other.if_outliers)": [[88, "unravel.voxel_stats.other.IF_outliers.parse_args", false]], "parse_args() (in module unravel.voxel_stats.other.r_to_p)": [[89, "unravel.voxel_stats.other.r_to_p.parse_args", false]], "parse_args() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.parse_args", false]], "parse_args() (in module unravel.voxel_stats.vstats_prep)": [[93, "unravel.voxel_stats.vstats_prep.parse_args", false]], "parse_args() (in module unravel.voxel_stats.whole_to_lr_avg)": [[94, "unravel.voxel_stats.whole_to_LR_avg.parse_args", false]], "parse_args() (in module unravel.voxel_stats.z_score)": [[95, "unravel.voxel_stats.z_score.parse_args", false]], "parse_args() (in module unravel.warp.to_atlas)": [[96, "unravel.warp.to_atlas.parse_args", false]], "parse_args() (in module unravel.warp.to_fixed)": [[97, "unravel.warp.to_fixed.parse_args", false]], "parse_args() (in module unravel.warp.to_native)": [[98, "unravel.warp.to_native.parse_args", false]], "parse_args() (in module unravel.warp.warp)": [[100, "unravel.warp.warp.parse_args", false]], "parse_color_argument() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.parse_color_argument", false]], "perform_t_tests() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.perform_t_tests", false]], "perform_tukey_test() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.perform_tukey_test", false]], "pixel_classification() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.pixel_classification", false]], "plot_data() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.plot_data", false]], "prepend_conditions() (in module unravel.utilities.prepend_conditions)": [[81, "unravel.utilities.prepend_conditions.prepend_conditions", false]], "print_func_name_args_times() (in module unravel.core.utils)": [[31, "unravel.core.utils.print_func_name_args_times", false]], "print_metadata() (in module unravel.image_io.metadata)": [[36, "unravel.image_io.metadata.print_metadata", false]], "process_and_plot_data() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.process_and_plot_data", false]], "process_fdr_and_clusters() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.process_fdr_and_clusters", false]], "process_file() (in module unravel.cluster_stats.recursively_mirror_rev_cluster_indices)": [[19, "unravel.cluster_stats.recursively_mirror_rev_cluster_indices.process_file", false]], "process_intensity() (in module unravel.image_tools.atlas.wireframe)": [[48, "unravel.image_tools.atlas.wireframe.process_intensity", false]], "process_slice() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.process_slice", false]], "r_to_z() (in module unravel.voxel_stats.other.r_to_p)": [[89, "unravel.voxel_stats.other.r_to_p.r_to_z", false]], "reg_prep() (in module unravel.register.reg_prep)": [[70, "unravel.register.reg_prep.reg_prep", false]], "relative_hedges_g() (in module unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative)": [[9, "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative.relative_hedges_g", false]], "remove_zero_intensity_regions() (in module unravel.region_stats.rstats_mean_if_summary)": [[63, "unravel.region_stats.rstats_mean_IF_summary.remove_zero_intensity_regions", false]], "rename_files() (in module unravel.utilities.rename)": [[82, "unravel.utilities.rename.rename_files", false]], "rename_items() (in module unravel.utilities.prepend_conditions)": [[81, "unravel.utilities.prepend_conditions.rename_items", false]], "render() (unravel.core.utils.averagetimeperiterationcolumn method)": [[31, "unravel.core.utils.AverageTimePerIterationColumn.render", false]], "render() (unravel.core.utils.custommofncompletecolumn method)": [[31, "unravel.core.utils.CustomMofNCompleteColumn.render", false]], "render() (unravel.core.utils.customtimeelapsedcolumn method)": [[31, "unravel.core.utils.CustomTimeElapsedColumn.render", false]], "render() (unravel.core.utils.customtimeremainingcolumn method)": [[31, "unravel.core.utils.CustomTimeRemainingColumn.render", false]], "reorient_for_raw_to_nii_conv() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.reorient_for_raw_to_nii_conv", false]], "reorient_ndarray() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.reorient_ndarray", false]], "reorient_ndarray2() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.reorient_ndarray2", false]], "reorient_nii() (in module unravel.image_io.reorient_nii)": [[41, "unravel.image_io.reorient_nii.reorient_nii", false]], "resample() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.resample", false]], "resolve_path() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.resolve_path", false]], "return_3d_img() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.return_3D_img", false]], "reverse_clusters() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.reverse_clusters", false]], "reverse_reorient_for_raw_to_nii_conv() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.reverse_reorient_for_raw_to_nii_conv", false]], "rolling_ball_subtraction() (in module unravel.image_tools.rb)": [[54, "unravel.image_tools.rb.rolling_ball_subtraction", false]], "rolling_ball_subtraction_opencv_parallel() (in module unravel.core.img_tools)": [[29, "unravel.core.img_tools.rolling_ball_subtraction_opencv_parallel", false]], "run_randomise_parallel() (in module unravel.voxel_stats.vstats)": [[92, "unravel.voxel_stats.vstats.run_randomise_parallel", false]], "run_script() (in module unravel.cluster_stats.cluster_summary)": [[4, "unravel.cluster_stats.cluster_summary.run_script", false]], "run_with_timeout() (in module unravel.register.affine_initializer)": [[66, "unravel.register.affine_initializer.run_with_timeout", false]], "save_as_h5() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.save_as_h5", false]], "save_as_nii() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.save_as_nii", false]], "save_as_nii() (in module unravel.image_io.zarr_to_nii)": [[44, "unravel.image_io.zarr_to_nii.save_as_nii", false]], "save_as_tifs() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.save_as_tifs", false]], "save_as_tifs() (in module unravel.image_io.h5_to_tifs)": [[32, "unravel.image_io.h5_to_tifs.save_as_tifs", false]], "save_as_tifs() (in module unravel.image_io.tif_to_tifs)": [[42, "unravel.image_io.tif_to_tifs.save_as_tifs", false]], "save_as_zarr() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.save_as_zarr", false]], "save_as_zarr() (in module unravel.image_io.nii_to_zarr)": [[40, "unravel.image_io.nii_to_zarr.save_as_zarr", false]], "save_cropped_img() (in module unravel.cluster_stats.crop)": [[6, "unravel.cluster_stats.crop.save_cropped_img", false]], "save_labels_as_masks() (in module unravel.segment.ilastik_pixel_classification)": [[74, "unravel.segment.ilastik_pixel_classification.save_labels_as_masks", false]], "save_metadata_to_file() (in module unravel.core.img_io)": [[28, "unravel.core.img_io.save_metadata_to_file", false]], "save_tif() (in module unravel.image_tools.dog)": [[45, "unravel.image_tools.DoG.save_tif", false]], "save_tif() (in module unravel.image_tools.rb)": [[54, "unravel.image_tools.rb.save_tif", false]], "scale_bool_to_full_res() (in module unravel.voxel_stats.apply_mask)": [[85, "unravel.voxel_stats.apply_mask.scale_bool_to_full_res", false]], "scale_to_full_res() (in module unravel.warp.to_native)": [[98, "unravel.warp.to_native.scale_to_full_res", false]], "sm (class in unravel.core.argparse_utils)": [[25, "unravel.core.argparse_utils.SM", false]], "sm (class in unravel.core.argparse_utils_rich)": [[26, "unravel.core.argparse_utils_rich.SM", false]], "smart_float_format() (in module unravel.cluster_stats.fdr_range)": [[12, "unravel.cluster_stats.fdr_range.smart_float_format", false]], "sort_samples() (in module unravel.cluster_stats.prism)": [[18, "unravel.cluster_stats.prism.sort_samples", false]], "sort_sunburst_hierarchy() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.sort_sunburst_hierarchy", false]], "spatial_average_2d() (in module unravel.image_tools.spatial_averaging)": [[56, "unravel.image_tools.spatial_averaging.spatial_average_2D", false]], "spatial_average_3d() (in module unravel.image_tools.spatial_averaging)": [[56, "unravel.image_tools.spatial_averaging.spatial_average_3D", false]], "split_clusters_based_on_effect() (in module unravel.cluster_stats.fdr)": [[11, "unravel.cluster_stats.fdr.split_clusters_based_on_effect", false]], "summarize_significance() (in module unravel.region_stats.rstats_summary)": [[64, "unravel.region_stats.rstats_summary.summarize_significance", false]], "sunburst() (in module unravel.cluster_stats.sunburst)": [[22, "unravel.cluster_stats.sunburst.sunburst", false]], "suppressmetavar (class in unravel.core.argparse_utils)": [[25, "unravel.core.argparse_utils.SuppressMetavar", false]], "suppressmetavar (class in unravel.core.argparse_utils_rich)": [[26, "unravel.core.argparse_utils_rich.SuppressMetavar", false]], "to_atlas() (in module unravel.warp.to_atlas)": [[96, "unravel.warp.to_atlas.to_atlas", false]], "to_native() (in module unravel.warp.to_native)": [[98, "unravel.warp.to_native.to_native", false]], "transform_nii_affine() (in module unravel.image_io.reorient_nii)": [[41, "unravel.image_io.reorient_nii.transform_nii_affine", false]], "transpose_img() (in module unravel.image_tools.transpose_axes)": [[58, "unravel.image_tools.transpose_axes.transpose_img", false]], "undo_fill_with_original() (in module unravel.cluster_stats.table)": [[23, "unravel.cluster_stats.table.undo_fill_with_original", false]], "uniq_intensities() (in module unravel.image_tools.unique_intensities)": [[59, "unravel.image_tools.unique_intensities.uniq_intensities", false]], "unravel.cluster_stats.brain_model": [[3, "module-unravel.cluster_stats.brain_model", false]], "unravel.cluster_stats.cluster_summary": [[4, "module-unravel.cluster_stats.cluster_summary", false]], "unravel.cluster_stats.cluster_validation": [[5, "module-unravel.cluster_stats.cluster_validation", false]], "unravel.cluster_stats.crop": [[6, "module-unravel.cluster_stats.crop", false]], "unravel.cluster_stats.effect_sizes.effect_sizes": [[7, "module-unravel.cluster_stats.effect_sizes.effect_sizes", false]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute": [[8, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute", false]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative": [[9, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative", false]], "unravel.cluster_stats.fdr": [[11, "module-unravel.cluster_stats.fdr", false]], "unravel.cluster_stats.fdr_range": [[12, "module-unravel.cluster_stats.fdr_range", false]], "unravel.cluster_stats.find_incongruent_clusters": [[13, "module-unravel.cluster_stats.find_incongruent_clusters", false]], "unravel.cluster_stats.group_bilateral_data": [[14, "module-unravel.cluster_stats.group_bilateral_data", false]], "unravel.cluster_stats.index": [[15, "module-unravel.cluster_stats.index", false]], "unravel.cluster_stats.legend": [[16, "module-unravel.cluster_stats.legend", false]], "unravel.cluster_stats.org_data": [[17, "module-unravel.cluster_stats.org_data", false]], "unravel.cluster_stats.prism": [[18, "module-unravel.cluster_stats.prism", false]], "unravel.cluster_stats.recursively_mirror_rev_cluster_indices": [[19, "module-unravel.cluster_stats.recursively_mirror_rev_cluster_indices", false]], "unravel.cluster_stats.stats": [[20, "module-unravel.cluster_stats.stats", false]], "unravel.cluster_stats.stats_table": [[21, "module-unravel.cluster_stats.stats_table", false]], "unravel.cluster_stats.sunburst": [[22, "module-unravel.cluster_stats.sunburst", false]], "unravel.cluster_stats.table": [[23, "module-unravel.cluster_stats.table", false]], "unravel.core.argparse_utils": [[25, "module-unravel.core.argparse_utils", false]], "unravel.core.argparse_utils_rich": [[26, "module-unravel.core.argparse_utils_rich", false]], "unravel.core.config": [[27, "module-unravel.core.config", false]], "unravel.core.img_io": [[28, "module-unravel.core.img_io", false]], "unravel.core.img_tools": [[29, "module-unravel.core.img_tools", false]], "unravel.core.utils": [[31, "module-unravel.core.utils", false]], "unravel.image_io.h5_to_tifs": [[32, "module-unravel.image_io.h5_to_tifs", false]], "unravel.image_io.img_to_npy": [[33, "module-unravel.image_io.img_to_npy", false]], "unravel.image_io.io_img": [[34, "module-unravel.image_io.io_img", false]], "unravel.image_io.io_nii": [[35, "module-unravel.image_io.io_nii", false]], "unravel.image_io.metadata": [[36, "module-unravel.image_io.metadata", false]], "unravel.image_io.nii_hd": [[37, "module-unravel.image_io.nii_hd", false]], "unravel.image_io.nii_info": [[38, "module-unravel.image_io.nii_info", false]], "unravel.image_io.nii_to_tifs": [[39, "module-unravel.image_io.nii_to_tifs", false]], "unravel.image_io.nii_to_zarr": [[40, "module-unravel.image_io.nii_to_zarr", false]], "unravel.image_io.reorient_nii": [[41, "module-unravel.image_io.reorient_nii", false]], "unravel.image_io.tif_to_tifs": [[42, "module-unravel.image_io.tif_to_tifs", false]], "unravel.image_io.zarr_to_nii": [[44, "module-unravel.image_io.zarr_to_nii", false]], "unravel.image_tools.atlas.relabel_nii": [[46, "module-unravel.image_tools.atlas.relabel_nii", false]], "unravel.image_tools.atlas.wireframe": [[48, "module-unravel.image_tools.atlas.wireframe", false]], "unravel.image_tools.avg": [[49, "module-unravel.image_tools.avg", false]], "unravel.image_tools.bbox": [[50, "module-unravel.image_tools.bbox", false]], "unravel.image_tools.dog": [[45, "module-unravel.image_tools.DoG", false]], "unravel.image_tools.extend": [[51, "module-unravel.image_tools.extend", false]], "unravel.image_tools.max": [[52, "module-unravel.image_tools.max", false]], "unravel.image_tools.pad": [[53, "module-unravel.image_tools.pad", false]], "unravel.image_tools.rb": [[54, "module-unravel.image_tools.rb", false]], "unravel.image_tools.resample": [[55, "module-unravel.image_tools.resample", false]], "unravel.image_tools.spatial_averaging": [[56, "module-unravel.image_tools.spatial_averaging", false]], "unravel.image_tools.transpose_axes": [[58, "module-unravel.image_tools.transpose_axes", false]], "unravel.image_tools.unique_intensities": [[59, "module-unravel.image_tools.unique_intensities", false]], "unravel.region_stats.rstats": [[60, "module-unravel.region_stats.rstats", false]], "unravel.region_stats.rstats_mean_if": [[61, "module-unravel.region_stats.rstats_mean_IF", false]], "unravel.region_stats.rstats_mean_if_in_segmented_voxels": [[62, "module-unravel.region_stats.rstats_mean_IF_in_segmented_voxels", false]], "unravel.region_stats.rstats_mean_if_summary": [[63, "module-unravel.region_stats.rstats_mean_IF_summary", false]], "unravel.region_stats.rstats_summary": [[64, "module-unravel.region_stats.rstats_summary", false]], "unravel.register.affine_initializer": [[66, "module-unravel.register.affine_initializer", false]], "unravel.register.reg": [[67, "module-unravel.register.reg", false]], "unravel.register.reg_check": [[68, "module-unravel.register.reg_check", false]], "unravel.register.reg_check_brain_mask": [[69, "module-unravel.register.reg_check_brain_mask", false]], "unravel.register.reg_prep": [[70, "module-unravel.register.reg_prep", false]], "unravel.segment.brain_mask": [[72, "module-unravel.segment.brain_mask", false]], "unravel.segment.copy_tifs": [[73, "module-unravel.segment.copy_tifs", false]], "unravel.segment.ilastik_pixel_classification": [[74, "module-unravel.segment.ilastik_pixel_classification", false]], "unravel.unravel_commands": [[77, "module-unravel.unravel_commands", false]], "unravel.utilities.aggregate_files_from_sample_dirs": [[78, "module-unravel.utilities.aggregate_files_from_sample_dirs", false]], "unravel.utilities.aggregate_files_recursively": [[79, "module-unravel.utilities.aggregate_files_recursively", false]], "unravel.utilities.clean_tif_dirs": [[80, "module-unravel.utilities.clean_tif_dirs", false]], "unravel.utilities.prepend_conditions": [[81, "module-unravel.utilities.prepend_conditions", false]], "unravel.utilities.rename": [[82, "module-unravel.utilities.rename", false]], "unravel.utilities.toggle_samples": [[84, "module-unravel.utilities.toggle_samples", false]], "unravel.voxel_stats.apply_mask": [[85, "module-unravel.voxel_stats.apply_mask", false]], "unravel.voxel_stats.hemi_to_lr_avg": [[86, "module-unravel.voxel_stats.hemi_to_LR_avg", false]], "unravel.voxel_stats.mirror": [[87, "module-unravel.voxel_stats.mirror", false]], "unravel.voxel_stats.other.if_outliers": [[88, "module-unravel.voxel_stats.other.IF_outliers", false]], "unravel.voxel_stats.other.r_to_p": [[89, "module-unravel.voxel_stats.other.r_to_p", false]], "unravel.voxel_stats.vstats": [[92, "module-unravel.voxel_stats.vstats", false]], "unravel.voxel_stats.vstats_prep": [[93, "module-unravel.voxel_stats.vstats_prep", false]], "unravel.voxel_stats.whole_to_lr_avg": [[94, "module-unravel.voxel_stats.whole_to_LR_avg", false]], "unravel.voxel_stats.z_score": [[95, "module-unravel.voxel_stats.z_score", false]], "unravel.warp.to_atlas": [[96, "module-unravel.warp.to_atlas", false]], "unravel.warp.to_fixed": [[97, "module-unravel.warp.to_fixed", false]], "unravel.warp.to_native": [[98, "module-unravel.warp.to_native", false]], "unravel.warp.warp": [[100, "module-unravel.warp.warp", false]], "valid_clusters_t_test() (in module unravel.cluster_stats.stats)": [[20, "unravel.cluster_stats.stats.valid_clusters_t_test", false]], "verbose (unravel.core.config.configuration attribute)": [[27, "unravel.core.config.Configuration.verbose", false]], "verbose_end_msg() (in module unravel.core.utils)": [[31, "unravel.core.utils.verbose_end_msg", false]], "verbose_start_msg() (in module unravel.core.utils)": [[31, "unravel.core.utils.verbose_start_msg", false]], "warp() (in module unravel.warp.warp)": [[100, "unravel.warp.warp.warp", false]], "whole_to_lr_avg() (in module unravel.voxel_stats.whole_to_lr_avg)": [[94, "unravel.voxel_stats.whole_to_LR_avg.whole_to_LR_avg", false]], "write_to_csv() (in module unravel.region_stats.rstats_mean_if)": [[61, "unravel.region_stats.rstats_mean_IF.write_to_csv", false]], "write_to_csv() (in module unravel.region_stats.rstats_mean_if_in_segmented_voxels)": [[62, "unravel.region_stats.rstats_mean_IF_in_segmented_voxels.write_to_csv", false]], "z_score() (in module unravel.voxel_stats.z_score)": [[95, "unravel.voxel_stats.z_score.z_score", false]], "z_to_p() (in module unravel.voxel_stats.other.r_to_p)": [[89, "unravel.voxel_stats.other.r_to_p.z_to_p", false]], "zarr_to_ndarray() (in module unravel.image_io.zarr_to_nii)": [[44, "unravel.image_io.zarr_to_nii.zarr_to_ndarray", false]]}, "objects": {"unravel": [[77, 0, 0, "-", "unravel_commands"]], "unravel.cluster_stats": [[3, 0, 0, "-", "brain_model"], [4, 0, 0, "-", "cluster_summary"], [5, 0, 0, "-", "cluster_validation"], [6, 0, 0, "-", "crop"], [11, 0, 0, "-", "fdr"], [12, 0, 0, "-", "fdr_range"], [13, 0, 0, "-", "find_incongruent_clusters"], [14, 0, 0, "-", "group_bilateral_data"], [15, 0, 0, "-", "index"], [16, 0, 0, "-", "legend"], [17, 0, 0, "-", "org_data"], [18, 0, 0, "-", "prism"], [19, 0, 0, "-", "recursively_mirror_rev_cluster_indices"], [20, 0, 0, "-", "stats"], [21, 0, 0, "-", "stats_table"], [22, 0, 0, "-", "sunburst"], [23, 0, 0, "-", "table"]], "unravel.cluster_stats.brain_model": [[3, 1, 1, "", "main"], [3, 1, 1, "", "parse_args"]], "unravel.cluster_stats.cluster_summary": [[4, 1, 1, "", "main"], [4, 1, 1, "", "parse_args"], [4, 1, 1, "", "run_script"]], "unravel.cluster_stats.cluster_validation": [[5, 1, 1, "", "cluster_bbox"], [5, 1, 1, "", "cluster_bbox_parallel"], [5, 1, 1, "", "count_cells"], [5, 1, 1, "", "crop_outer_space"], [5, 1, 1, "", "density_in_cluster"], [5, 1, 1, "", "density_in_cluster_parallel"], [5, 1, 1, "", "main"], [5, 1, 1, "", "parse_args"]], "unravel.cluster_stats.crop": [[6, 1, 1, "", "main"], [6, 1, 1, "", "parse_args"], [6, 1, 1, "", "save_cropped_img"]], "unravel.cluster_stats.effect_sizes": [[7, 0, 0, "-", "effect_sizes"], [8, 0, 0, "-", "effect_sizes_by_sex__absolute"], [9, 0, 0, "-", "effect_sizes_by_sex__relative"]], "unravel.cluster_stats.effect_sizes.effect_sizes": [[7, 1, 1, "", "condition_selector"], [7, 1, 1, "", "filter_dataframe"], [7, 1, 1, "", "hedges_g"], [7, 1, 1, "", "main"], [7, 1, 1, "", "parse_args"]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute": [[8, 1, 1, "", "condition_selector"], [8, 1, 1, "", "filter_dataframe"], [8, 1, 1, "", "hedges_g"], [8, 1, 1, "", "main"], [8, 1, 1, "", "parse_args"]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative": [[9, 1, 1, "", "condition_selector"], [9, 1, 1, "", "filter_dataframe"], [9, 1, 1, "", "main"], [9, 1, 1, "", "mean_std_count"], [9, 1, 1, "", "parse_args"], [9, 1, 1, "", "relative_hedges_g"]], "unravel.cluster_stats.fdr": [[11, 1, 1, "", "cluster_index"], [11, 1, 1, "", "fdr"], [11, 1, 1, "", "main"], [11, 1, 1, "", "parse_args"], [11, 1, 1, "", "process_fdr_and_clusters"], [11, 1, 1, "", "reverse_clusters"], [11, 1, 1, "", "split_clusters_based_on_effect"]], "unravel.cluster_stats.fdr_range": [[12, 1, 1, "", "fdr_range"], [12, 1, 1, "", "main"], [12, 1, 1, "", "parse_args"], [12, 1, 1, "", "smart_float_format"]], "unravel.cluster_stats.find_incongruent_clusters": [[13, 1, 1, "", "find_incongruent_clusters"], [13, 1, 1, "", "main"], [13, 1, 1, "", "parse_args"]], "unravel.cluster_stats.group_bilateral_data": [[14, 1, 1, "", "group_hemisphere_data"], [14, 1, 1, "", "main"], [14, 1, 1, "", "parse_args"]], "unravel.cluster_stats.index": [[15, 1, 1, "", "generate_sunburst"], [15, 1, 1, "", "main"], [15, 1, 1, "", "parse_args"]], "unravel.cluster_stats.legend": [[16, 1, 1, "", "apply_rgb_to_cell"], [16, 1, 1, "", "extract_unique_regions_from_file"], [16, 1, 1, "", "main"], [16, 1, 1, "", "parse_args"]], "unravel.cluster_stats.org_data": [[17, 1, 1, "", "copy_stats_files"], [17, 1, 1, "", "cp"], [17, 1, 1, "", "find_matching_directory"], [17, 1, 1, "", "main"], [17, 1, 1, "", "organize_validation_data"], [17, 1, 1, "", "parse_args"]], "unravel.cluster_stats.prism": [[18, 1, 1, "", "generate_summary_table"], [18, 1, 1, "", "main"], [18, 1, 1, "", "parse_args"], [18, 1, 1, "", "sort_samples"]], "unravel.cluster_stats.recursively_mirror_rev_cluster_indices": [[19, 1, 1, "", "main"], [19, 1, 1, "", "parse_args"], [19, 1, 1, "", "process_file"]], "unravel.cluster_stats.stats": [[20, 1, 1, "", "cluster_validation_data_df"], [20, 1, 1, "", "condition_selector"], [20, 1, 1, "", "main"], [20, 1, 1, "", "parse_args"], [20, 1, 1, "", "perform_tukey_test"], [20, 1, 1, "", "valid_clusters_t_test"]], "unravel.cluster_stats.stats_table": [[21, 1, 1, "", "cluster_summary"], [21, 1, 1, "", "main"], [21, 1, 1, "", "parse_args"]], "unravel.cluster_stats.sunburst": [[22, 1, 1, "", "calculate_regional_volumes"], [22, 1, 1, "", "main"], [22, 1, 1, "", "parse_args"], [22, 1, 1, "", "sunburst"]], "unravel.cluster_stats.table": [[23, 1, 1, "", "calculate_top_regions"], [23, 1, 1, "", "can_collapse"], [23, 1, 1, "", "collapse_hierarchy"], [23, 1, 1, "", "fill_na_with_last_known"], [23, 1, 1, "", "get_fill_color"], [23, 1, 1, "", "get_top_regions_and_percent_vols"], [23, 1, 1, "", "main"], [23, 1, 1, "", "parse_args"], [23, 1, 1, "", "sort_sunburst_hierarchy"], [23, 1, 1, "", "undo_fill_with_original"]], "unravel.core": [[25, 0, 0, "-", "argparse_utils"], [26, 0, 0, "-", "argparse_utils_rich"], [27, 0, 0, "-", "config"], [28, 0, 0, "-", "img_io"], [29, 0, 0, "-", "img_tools"], [31, 0, 0, "-", "utils"]], "unravel.core.argparse_utils": [[25, 2, 1, "", "SM"], [25, 2, 1, "", "SuppressMetavar"]], "unravel.core.argparse_utils_rich": [[26, 2, 1, "", "SM"], [26, 2, 1, "", "SuppressMetavar"]], "unravel.core.config": [[27, 2, 1, "", "AttrDict"], [27, 2, 1, "", "Config"], [27, 2, 1, "", "Configuration"]], "unravel.core.config.Configuration": [[27, 3, 1, "", "verbose"]], "unravel.core.img_io": [[28, 1, 1, "", "extract_resolution"], [28, 1, 1, "", "load_3D_img"], [28, 1, 1, "", "load_czi"], [28, 1, 1, "", "load_h5"], [28, 1, 1, "", "load_image_metadata_from_txt"], [28, 1, 1, "", "load_nii"], [28, 1, 1, "", "load_nii_orientation"], [28, 1, 1, "", "load_nii_subset"], [28, 1, 1, "", "load_tifs"], [28, 1, 1, "", "load_zarr"], [28, 1, 1, "", "metadata"], [28, 1, 1, "", "resolve_path"], [28, 1, 1, "", "return_3D_img"], [28, 1, 1, "", "save_as_h5"], [28, 1, 1, "", "save_as_nii"], [28, 1, 1, "", "save_as_tifs"], [28, 1, 1, "", "save_as_zarr"], [28, 1, 1, "", "save_metadata_to_file"]], "unravel.core.img_tools": [[29, 1, 1, "", "cluster_IDs"], [29, 1, 1, "", "crop"], [29, 1, 1, "", "find_bounding_box"], [29, 1, 1, "", "pad"], [29, 1, 1, "", "pixel_classification"], [29, 1, 1, "", "process_slice"], [29, 1, 1, "", "reorient_for_raw_to_nii_conv"], [29, 1, 1, "", "reorient_ndarray"], [29, 1, 1, "", "reorient_ndarray2"], [29, 1, 1, "", "resample"], [29, 1, 1, "", "reverse_reorient_for_raw_to_nii_conv"], [29, 1, 1, "", "rolling_ball_subtraction_opencv_parallel"]], "unravel.core.utils": [[31, 2, 1, "", "AverageTimePerIterationColumn"], [31, 2, 1, "", "CustomMofNCompleteColumn"], [31, 2, 1, "", "CustomTimeElapsedColumn"], [31, 2, 1, "", "CustomTimeRemainingColumn"], [31, 1, 1, "", "copy_files"], [31, 1, 1, "", "get_dir_name_from_args"], [31, 1, 1, "", "get_samples"], [31, 1, 1, "", "initialize_progress_bar"], [31, 1, 1, "", "load_config"], [31, 1, 1, "", "load_text_from_file"], [31, 1, 1, "", "log_command"], [31, 1, 1, "", "print_func_name_args_times"], [31, 1, 1, "", "verbose_end_msg"], [31, 1, 1, "", "verbose_start_msg"]], "unravel.core.utils.AverageTimePerIterationColumn": [[31, 4, 1, "", "render"]], "unravel.core.utils.CustomMofNCompleteColumn": [[31, 4, 1, "", "render"]], "unravel.core.utils.CustomTimeElapsedColumn": [[31, 4, 1, "", "render"]], "unravel.core.utils.CustomTimeRemainingColumn": [[31, 4, 1, "", "render"]], "unravel.image_io": [[32, 0, 0, "-", "h5_to_tifs"], [33, 0, 0, "-", "img_to_npy"], [34, 0, 0, "-", "io_img"], [35, 0, 0, "-", "io_nii"], [36, 0, 0, "-", "metadata"], [37, 0, 0, "-", "nii_hd"], [38, 0, 0, "-", "nii_info"], [39, 0, 0, "-", "nii_to_tifs"], [40, 0, 0, "-", "nii_to_zarr"], [41, 0, 0, "-", "reorient_nii"], [42, 0, 0, "-", "tif_to_tifs"], [44, 0, 0, "-", "zarr_to_nii"]], "unravel.image_io.h5_to_tifs": [[32, 1, 1, "", "find_largest_h5_file"], [32, 1, 1, "", "load_h5"], [32, 1, 1, "", "main"], [32, 1, 1, "", "metadata_from_h5"], [32, 1, 1, "", "parse_args"], [32, 1, 1, "", "save_as_tifs"]], "unravel.image_io.img_to_npy": [[33, 1, 1, "", "main"], [33, 1, 1, "", "parse_args"]], "unravel.image_io.io_img": [[34, 1, 1, "", "main"], [34, 1, 1, "", "parse_args"]], "unravel.image_io.io_nii": [[35, 1, 1, "", "convert_dtype"], [35, 1, 1, "", "main"], [35, 1, 1, "", "parse_args"]], "unravel.image_io.metadata": [[36, 1, 1, "", "get_dims_from_tifs"], [36, 1, 1, "", "main"], [36, 1, 1, "", "parse_args"], [36, 1, 1, "", "print_metadata"]], "unravel.image_io.nii_hd": [[37, 1, 1, "", "main"], [37, 1, 1, "", "parse_args"]], "unravel.image_io.nii_info": [[38, 1, 1, "", "main"], [38, 1, 1, "", "nii_axis_codes"], [38, 1, 1, "", "parse_args"]], "unravel.image_io.nii_to_tifs": [[39, 1, 1, "", "main"], [39, 1, 1, "", "nii_to_tifs"], [39, 1, 1, "", "parse_args"]], "unravel.image_io.nii_to_zarr": [[40, 1, 1, "", "main"], [40, 1, 1, "", "nii_to_ndarray"], [40, 1, 1, "", "parse_args"], [40, 1, 1, "", "save_as_zarr"]], "unravel.image_io.reorient_nii": [[41, 1, 1, "", "main"], [41, 1, 1, "", "parse_args"], [41, 1, 1, "", "reorient_nii"], [41, 1, 1, "", "transform_nii_affine"]], "unravel.image_io.tif_to_tifs": [[42, 1, 1, "", "find_largest_tif_file"], [42, 1, 1, "", "load_3D_tif"], [42, 1, 1, "", "main"], [42, 1, 1, "", "metadata_from_3D_tif"], [42, 1, 1, "", "parse_args"], [42, 1, 1, "", "save_as_tifs"]], "unravel.image_io.zarr_to_nii": [[44, 1, 1, "", "define_zarr_to_nii_output"], [44, 1, 1, "", "main"], [44, 1, 1, "", "parse_args"], [44, 1, 1, "", "save_as_nii"], [44, 1, 1, "", "zarr_to_ndarray"]], "unravel.image_tools": [[45, 0, 0, "-", "DoG"], [49, 0, 0, "-", "avg"], [50, 0, 0, "-", "bbox"], [51, 0, 0, "-", "extend"], [52, 0, 0, "-", "max"], [53, 0, 0, "-", "pad"], [54, 0, 0, "-", "rb"], [55, 0, 0, "-", "resample"], [56, 0, 0, "-", "spatial_averaging"], [58, 0, 0, "-", "transpose_axes"], [59, 0, 0, "-", "unique_intensities"]], "unravel.image_tools.DoG": [[45, 1, 1, "", "difference_of_gaussians"], [45, 1, 1, "", "load_tif"], [45, 1, 1, "", "main"], [45, 1, 1, "", "parse_args"], [45, 1, 1, "", "save_tif"]], "unravel.image_tools.atlas": [[46, 0, 0, "-", "relabel_nii"], [48, 0, 0, "-", "wireframe"]], "unravel.image_tools.atlas.relabel_nii": [[46, 1, 1, "", "main"], [46, 1, 1, "", "parse_args"]], "unravel.image_tools.atlas.wireframe": [[48, 1, 1, "", "generate_wireframe"], [48, 1, 1, "", "main"], [48, 1, 1, "", "parse_args"], [48, 1, 1, "", "process_intensity"]], "unravel.image_tools.avg": [[49, 1, 1, "", "main"], [49, 1, 1, "", "parse_args"]], "unravel.image_tools.bbox": [[50, 1, 1, "", "main"], [50, 1, 1, "", "parse_args"]], "unravel.image_tools.extend": [[51, 1, 1, "", "extend_one_side_3d_array"], [51, 1, 1, "", "main"], [51, 1, 1, "", "parse_args"]], "unravel.image_tools.max": [[52, 1, 1, "", "find_max_intensity"], [52, 1, 1, "", "main"], [52, 1, 1, "", "parse_args"]], "unravel.image_tools.pad": [[53, 1, 1, "", "main"], [53, 1, 1, "", "parse_args"]], "unravel.image_tools.rb": [[54, 1, 1, "", "load_tif"], [54, 1, 1, "", "main"], [54, 1, 1, "", "parse_args"], [54, 1, 1, "", "rolling_ball_subtraction"], [54, 1, 1, "", "save_tif"]], "unravel.image_tools.resample": [[55, 1, 1, "", "main"], [55, 1, 1, "", "parse_args"]], "unravel.image_tools.spatial_averaging": [[56, 1, 1, "", "apply_2D_mean_filter"], [56, 1, 1, "", "main"], [56, 1, 1, "", "parse_args"], [56, 1, 1, "", "spatial_average_2D"], [56, 1, 1, "", "spatial_average_3D"]], "unravel.image_tools.transpose_axes": [[58, 1, 1, "", "main"], [58, 1, 1, "", "parse_args"], [58, 1, 1, "", "transpose_img"]], "unravel.image_tools.unique_intensities": [[59, 1, 1, "", "main"], [59, 1, 1, "", "parse_args"], [59, 1, 1, "", "uniq_intensities"]], "unravel.region_stats": [[60, 0, 0, "-", "rstats"], [61, 0, 0, "-", "rstats_mean_IF"], [62, 0, 0, "-", "rstats_mean_IF_in_segmented_voxels"], [63, 0, 0, "-", "rstats_mean_IF_summary"], [64, 0, 0, "-", "rstats_summary"]], "unravel.region_stats.rstats": [[60, 1, 1, "", "calculate_regional_cell_densities"], [60, 1, 1, "", "calculate_regional_volumes"], [60, 1, 1, "", "count_cells_in_regions"], [60, 1, 1, "", "get_atlas_region_at_coords"], [60, 1, 1, "", "main"], [60, 1, 1, "", "parse_args"]], "unravel.region_stats.rstats_mean_IF": [[61, 1, 1, "", "calculate_mean_intensity"], [61, 1, 1, "", "main"], [61, 1, 1, "", "parse_args"], [61, 1, 1, "", "write_to_csv"]], "unravel.region_stats.rstats_mean_IF_in_segmented_voxels": [[62, 1, 1, "", "calculate_mean_intensity"], [62, 1, 1, "", "main"], [62, 1, 1, "", "parse_args"], [62, 1, 1, "", "write_to_csv"]], "unravel.region_stats.rstats_mean_IF_summary": [[63, 1, 1, "", "filter_region_ids"], [63, 1, 1, "", "get_all_region_ids"], [63, 1, 1, "", "get_max_region_id_from_csvs"], [63, 1, 1, "", "get_region_details"], [63, 1, 1, "", "load_data"], [63, 1, 1, "", "main"], [63, 1, 1, "", "parse_args"], [63, 1, 1, "", "perform_t_tests"], [63, 1, 1, "", "plot_data"], [63, 1, 1, "", "remove_zero_intensity_regions"]], "unravel.region_stats.rstats_summary": [[64, 1, 1, "", "get_region_details"], [64, 1, 1, "", "main"], [64, 1, 1, "", "parse_args"], [64, 1, 1, "", "parse_color_argument"], [64, 1, 1, "", "process_and_plot_data"], [64, 1, 1, "", "summarize_significance"]], "unravel.register": [[66, 0, 0, "-", "affine_initializer"], [67, 0, 0, "-", "reg"], [68, 0, 0, "-", "reg_check"], [69, 0, 0, "-", "reg_check_brain_mask"], [70, 0, 0, "-", "reg_prep"]], "unravel.register.affine_initializer": [[66, 1, 1, "", "affine_initializer_wrapper"], [66, 1, 1, "", "main"], [66, 1, 1, "", "parse_args"], [66, 1, 1, "", "run_with_timeout"]], "unravel.register.reg": [[67, 1, 1, "", "bias_correction"], [67, 1, 1, "", "main"], [67, 1, 1, "", "parse_args"]], "unravel.register.reg_check": [[68, 1, 1, "", "main"], [68, 1, 1, "", "parse_args"]], "unravel.register.reg_check_brain_mask": [[69, 1, 1, "", "main"], [69, 1, 1, "", "parse_args"]], "unravel.register.reg_prep": [[70, 1, 1, "", "main"], [70, 1, 1, "", "parse_args"], [70, 1, 1, "", "reg_prep"]], "unravel.segment": [[72, 0, 0, "-", "brain_mask"], [73, 0, 0, "-", "copy_tifs"], [74, 0, 0, "-", "ilastik_pixel_classification"]], "unravel.segment.brain_mask": [[72, 1, 1, "", "main"], [72, 1, 1, "", "parse_args"]], "unravel.segment.copy_tifs": [[73, 1, 1, "", "copy_specific_slices"], [73, 1, 1, "", "main"], [73, 1, 1, "", "parse_args"]], "unravel.segment.ilastik_pixel_classification": [[74, 1, 1, "", "count_files"], [74, 1, 1, "", "main"], [74, 1, 1, "", "parse_args"], [74, 1, 1, "", "save_labels_as_masks"]], "unravel.unravel_commands": [[77, 1, 1, "", "main"], [77, 1, 1, "", "parse_args"]], "unravel.utilities": [[78, 0, 0, "-", "aggregate_files_from_sample_dirs"], [79, 0, 0, "-", "aggregate_files_recursively"], [80, 0, 0, "-", "clean_tif_dirs"], [81, 0, 0, "-", "prepend_conditions"], [82, 0, 0, "-", "rename"], [84, 0, 0, "-", "toggle_samples"]], "unravel.utilities.aggregate_files_from_sample_dirs": [[78, 1, 1, "", "aggregate_files_from_sample_dirs"], [78, 1, 1, "", "main"], [78, 1, 1, "", "parse_args"]], "unravel.utilities.aggregate_files_recursively": [[79, 1, 1, "", "find_and_copy_files"], [79, 1, 1, "", "main"], [79, 1, 1, "", "parse_args"]], "unravel.utilities.clean_tif_dirs": [[80, 1, 1, "", "clean_tifs_dir"], [80, 1, 1, "", "main"], [80, 1, 1, "", "parse_args"]], "unravel.utilities.prepend_conditions": [[81, 1, 1, "", "main"], [81, 1, 1, "", "parse_args"], [81, 1, 1, "", "prepend_conditions"], [81, 1, 1, "", "rename_items"]], "unravel.utilities.rename": [[82, 1, 1, "", "main"], [82, 1, 1, "", "parse_args"], [82, 1, 1, "", "rename_files"]], "unravel.utilities.toggle_samples": [[84, 1, 1, "", "main"], [84, 1, 1, "", "parse_args"]], "unravel.voxel_stats": [[85, 0, 0, "-", "apply_mask"], [86, 0, 0, "-", "hemi_to_LR_avg"], [87, 0, 0, "-", "mirror"], [92, 0, 0, "-", "vstats"], [93, 0, 0, "-", "vstats_prep"], [94, 0, 0, "-", "whole_to_LR_avg"], [95, 0, 0, "-", "z_score"]], "unravel.voxel_stats.apply_mask": [[85, 1, 1, "", "apply_mask_to_ndarray"], [85, 1, 1, "", "dilate_mask"], [85, 1, 1, "", "load_mask"], [85, 1, 1, "", "main"], [85, 1, 1, "", "mean_intensity_in_brain"], [85, 1, 1, "", "parse_args"], [85, 1, 1, "", "scale_bool_to_full_res"]], "unravel.voxel_stats.hemi_to_LR_avg": [[86, 1, 1, "", "hemi_to_LR_avg"], [86, 1, 1, "", "main"], [86, 1, 1, "", "parse_args"]], "unravel.voxel_stats.mirror": [[87, 1, 1, "", "main"], [87, 1, 1, "", "mirror"], [87, 1, 1, "", "parse_args"]], "unravel.voxel_stats.other": [[88, 0, 0, "-", "IF_outliers"], [89, 0, 0, "-", "r_to_p"]], "unravel.voxel_stats.other.IF_outliers": [[88, 1, 1, "", "detect_outliers"], [88, 1, 1, "", "main"], [88, 1, 1, "", "mean_intensity_within_mask"], [88, 1, 1, "", "parse_args"]], "unravel.voxel_stats.other.r_to_p": [[89, 1, 1, "", "main"], [89, 1, 1, "", "parse_args"], [89, 1, 1, "", "r_to_z"], [89, 1, 1, "", "z_to_p"]], "unravel.voxel_stats.vstats": [[92, 1, 1, "", "calculate_fragments"], [92, 1, 1, "", "check_fdr_command"], [92, 1, 1, "", "create_design_ttest2"], [92, 1, 1, "", "get_groups_info"], [92, 1, 1, "", "main"], [92, 1, 1, "", "parse_args"], [92, 1, 1, "", "run_randomise_parallel"]], "unravel.voxel_stats.vstats_prep": [[93, 1, 1, "", "main"], [93, 1, 1, "", "parse_args"]], "unravel.voxel_stats.whole_to_LR_avg": [[94, 1, 1, "", "main"], [94, 1, 1, "", "parse_args"], [94, 1, 1, "", "whole_to_LR_avg"]], "unravel.voxel_stats.z_score": [[95, 1, 1, "", "main"], [95, 1, 1, "", "parse_args"], [95, 1, 1, "", "z_score"]], "unravel.warp": [[96, 0, 0, "-", "to_atlas"], [97, 0, 0, "-", "to_fixed"], [98, 0, 0, "-", "to_native"], [100, 0, 0, "-", "warp"]], "unravel.warp.to_atlas": [[96, 1, 1, "", "copy_nii_header"], [96, 1, 1, "", "main"], [96, 1, 1, "", "parse_args"], [96, 1, 1, "", "to_atlas"]], "unravel.warp.to_fixed": [[97, 1, 1, "", "calculate_padded_dimensions"], [97, 1, 1, "", "forward_warp"], [97, 1, 1, "", "main"], [97, 1, 1, "", "parse_args"]], "unravel.warp.to_native": [[98, 1, 1, "", "calculate_resampled_padded_dimensions"], [98, 1, 1, "", "main"], [98, 1, 1, "", "parse_args"], [98, 1, 1, "", "scale_to_full_res"], [98, 1, 1, "", "to_native"]], "unravel.warp.warp": [[100, 1, 1, "", "main"], [100, 1, 1, "", "parse_args"], [100, 1, 1, "", "warp"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "function", "Python function"], "2": ["py", "class", "Python class"], "3": ["py", "attribute", "Python attribute"], "4": ["py", "method", "Python method"]}, "objtypes": {"0": "py:module", "1": "py:function", "2": "py:class", "3": "py:attribute", "4": "py:method"}, "terms": {"": [0, 2, 4, 5, 7, 8, 9, 19, 23, 24, 26, 29, 41, 51, 59, 60, 62, 64, 65, 67, 70, 73, 76, 77, 79, 80, 87, 89, 92, 95], "0": [0, 7, 8, 9, 11, 16, 19, 28, 29, 35, 41, 45, 48, 54, 59, 63, 67, 76, 86, 87, 91, 92, 94, 97, 98], "000": 0, "0000": [0, 73], "0005": [0, 73], "005": 0, "0050": [0, 73], "01": 0, "0100": [0, 73], "05": [0, 11], "0500": [0, 73], "1": [0, 2, 7, 8, 9, 11, 15, 18, 20, 23, 29, 35, 41, 45, 48, 54, 59, 72, 76, 86, 91, 92, 94], "10": [0, 22, 66], "100": [0, 51, 57, 76], "1000": [0, 28, 73], "10000": [0, 64], "11": 2, "12000": 92, "15": [0, 29, 53, 67, 97, 98], "18000": 92, "1st": [0, 41, 70, 93, 96], "2": [0, 2, 7, 8, 9, 11, 15, 18, 19, 20, 25, 26, 41, 45, 54, 56, 67, 86, 87, 94], "20": 0, "2020": [0, 19, 87], "24": [25, 26], "25": [15, 19, 22, 87, 89], "255": 35, "26": 56, "27af2": 64, "2d": [45, 56], "2d67c8": 64, "2nd": [0, 41], "2x2": 0, "3": [2, 15, 18, 22, 29, 35, 36, 41, 45, 56, 67, 74, 88, 96], "300": 92, "33063286": 0, "37248402": 7, "3d": [0, 1, 5, 28, 29, 33, 34, 42, 45, 48, 51, 54, 56, 59, 62, 70, 96], "3d_brain": 4, "3post3": 2, "3rd": [0, 41], "3x3": 56, "3x3x3": [0, 56], "4": [0, 54, 67, 93], "400": 0, "488": 42, "4d": 0, "5": [7, 8, 9, 45], "50": [72, 97, 98], "5232": [36, 96], "6": [5, 36, 96], "6e10_rb20": 85, "6e10_rb20_wo_artifact": 85, "6e10_seg_ilastik_2": 85, "7": 0, "7f25d3": 64, "8": [7, 8, 9, 29, 43, 56, 76], "9": 12, "A": [0, 2, 7, 8, 9, 13, 20, 25, 26, 27, 31, 41, 48, 67], "As": 23, "For": [0, 2, 4, 5, 11, 13, 14, 15, 22, 41, 48, 74, 77, 81, 84, 92, 97, 100], "IF": [0, 13, 62, 63], "If": [1, 2, 4, 5, 7, 8, 9, 20, 28, 29, 31, 32, 41, 42, 63, 77, 81, 95, 100], "In": 0, "It": [0, 14, 27, 92], "Its": 0, "One": 77, "Or": 0, "The": [0, 1, 3, 4, 7, 8, 9, 11, 14, 20, 23, 25, 26, 27, 28, 41, 45, 56, 63, 67, 81, 84, 92, 97], "Then": 4, "These": [0, 94], "To": [0, 2, 54, 64, 74], "With": [0, 35], "_": [0, 4, 7, 8, 9, 18, 20, 84], "_6e10_seg_ilastik_2": 85, "__call__": [25, 26], "__getattr__": 27, "__init__": [25, 26, 27], "_cfos_rb4_atlas_spac": [0, 95], "_cfos_rb4_atlas_space_z": 0, "_cluster_validation_info": 13, "_data": 5, "_densiti": 18, "_density_data": [18, 20], "_density_data_lh": [18, 20], "_density_data_rh": [18, 20], "_description_": [29, 59], "_f_gt_m": 9, "_f_gt_m_valid_clust": 9, "_fill_text": [25, 26], "_format_action_invoc": [25, 26], "_fos_rb4_gubra_space_z_lravg": 78, "_gt_": 11, "_hedges_g_": [7, 8, 9], "_iba1_seg_ilastik_2": 85, "_lh": [14, 18, 20], "_lt_": 11, "_ochann_rb4_gubra_spac": 93, "_other": 0, "_p_value_map": 89, "_p_value_map_fdr_correct": 89, "_rev_cluster_index": [0, 5], "_rev_cluster_index_": 0, "_rh": [14, 18, 20], "_seg_dir": [5, 62], "_seg_dir_1": 0, "_seg_dir_regional_mean_if_in_seg": 62, "_strip_com": 27, "_sunburst": 15, "_type_": 59, "_v_": 11, "_valid_clust": [4, 7, 8], "_valid_clusters_stat": [4, 20], "_valid_clusters_t": 16, "_vox_p_": 0, "_z": 95, "_z_score_map": 89, "a1": [0, 11], "a2": [0, 11], "aba": [3, 22], "aba_seg": 62, "abbevi": 4, "abbr": [0, 63, 64], "abbrevi": [16, 22], "abcasei": 1, "about": 0, "absolut": [0, 31], "access": [0, 27], "accident": 0, "accod": 11, "accordingli": 35, "account": 0, "accur": 0, "across": [1, 22, 26, 63], "action": [17, 25, 26], "activ": [2, 76, 83], "actual": 0, "ad": [0, 31, 45, 77], "adapt": [0, 1], "add": [1, 2, 53, 54, 63, 64], "add_argu": [25, 26], "add_prefix": 78, "addit": [27, 76, 91], "adj_p_val_img_path": 11, "adjust": [0, 11, 23], "adjusted_pval_output_path": 11, "administr": 2, "affect": 0, "affin": [28, 38, 41], "affine_initi": [1, 71, 76], "affine_initializer_wrapp": [66, 71, 76], "after": [1, 2, 19, 20, 24, 29, 56, 63, 66, 76, 77, 87], "again": [0, 77], "against": [7, 8, 9, 20], "aggreg": [0, 4, 17, 20, 23, 63, 78, 93, 95], "aggregate_files_from_sample_dir": [0, 1, 76, 83], "aggregate_files_recurs": [1, 76, 83], "algorithm": 54, "alia": [0, 2, 77], "alias": 77, "align": [0, 41], "all": [1, 4, 5, 7, 8, 9, 20, 22, 23, 26, 29, 31, 57, 60, 63, 76, 83], "allen": 1, "allow": [0, 27, 66, 85], "along": 87, "alphabet": 0, "alreadi": [0, 2, 4, 65, 76, 83], "also": [0, 41, 54, 60, 66, 86, 94], "alt": 63, "altern": [0, 2, 20], "ama": 95, "amyloid": 0, "an": [1, 2, 7, 8, 9, 20, 25, 26, 28, 29, 31, 32, 33, 35, 36, 38, 39, 40, 44, 45, 48, 50, 52, 53, 54, 55, 56, 60, 67, 74, 76, 77, 85, 87, 91, 93, 94, 98, 100], "analys": 92, "analyz": [0, 4, 95], "ani": [1, 7, 8, 9, 18, 20], "anoth": [0, 20, 45, 77], "anova": [0, 11], "anterior": [0, 41, 67], "antspi": [1, 96, 100], "antspy_init_tform": 66, "app": 22, "append": 0, "appli": [0, 2, 3, 5, 16, 19, 41, 45, 56, 86, 94, 100], "applic": [27, 85], "apply_2d_mean_filt": [56, 57, 76], "apply_mask": [1, 76, 91], "apply_mask_to_ndarrai": [76, 85, 91], "apply_rgb_to_cel": [16, 24, 76], "approach": 35, "apt": 2, "ar": [0, 1, 4, 7, 11, 20, 23, 31, 41, 45, 48, 56, 67, 77], "arctanh": 89, "arg": [5, 6, 19, 25, 26, 31, 48, 62, 64, 85], "argpars": [25, 26, 62], "argparse_util": [1, 30, 76], "argparse_utils_rich": [1, 30, 76], "argument": [0, 4, 25, 26, 31, 36, 62, 70, 80], "argumentpars": [25, 26], "around": [5, 45], "arr": 56, "arrai": [0, 28, 29, 48, 56], "artifact": [0, 76, 91], "associ": 27, "assum": [29, 32, 80], "asterisk": [4, 11, 15, 16, 17, 18, 20, 22, 23, 32, 42, 49, 61, 62, 63, 68, 70, 72, 74, 79, 87, 88, 93, 96], "atla": [1, 2, 3, 5, 15, 19, 22, 29, 57, 61, 62, 65, 71, 76, 87, 91, 92, 93, 96, 97, 98, 99], "atlas": [1, 66], "atlas1": 67, "atlas2": 67, "atlas_img": [60, 100], "atlas_img_w": 48, "atlas_img_w_id": 48, "atlas_in_tissue_spac": [0, 68, 100], "atlas_mask": [86, 94, 95], "atlas_ndarrai": 48, "atlas_relabel": [0, 46], "atlas_res_in_um": [15, 22], "atlas_spac": [0, 78, 93, 95], "atlas_split": [0, 60], "atlas_wirefram": [0, 48], "attempt": [18, 20], "attrdict": [27, 30, 76], "attribut": [27, 31], "austen": [0, 1], "autofl": [0, 32, 67], "autofl_": [0, 68, 70, 72], "autofl_50um": [53, 72], "autofl_50um_brain_mask": 95, "autofl_50um_mask": 97, "autofl_50um_masked_fixed_reg_input": [66, 97, 100], "autofl_50um_tif": 73, "autofluo": [0, 70], "autofluo_50_mask": 69, "autofluo_50um": 69, "autofluoresc": 0, "autom": 1, "automat": 86, "avail": [0, 65, 76, 77, 92], "averag": [0, 11, 31, 45, 49, 56, 67, 86, 87, 94, 95], "averagetimeperiterationcolumn": [30, 31, 76], "avg": [0, 1, 57, 76], "avg_img1": 11, "avg_img2": 11, "avoid": 77, "ax": [0, 19, 28, 38, 41, 58, 67, 87], "axi": [41, 67, 86, 87, 94], "axis_1": 58, "axis_2": 58, "axis_3": 58, "axis_ord": [32, 42], "b": [2, 6, 13, 74, 77, 92], "back": [1, 51], "background": [29, 45, 48, 54, 93], "backtick": 0, "backup": 2, "ball": [0, 29, 45, 54], "bar": [0, 31], "barbosa": 1, "base": [0, 1, 7, 8, 9, 11, 14, 20, 23, 25, 26, 27, 28, 29, 31, 46, 60, 81, 82, 85, 92], "base_path": [14, 17, 81], "basenam": 4, "bash": 2, "bashrc": [0, 1, 77], "basic": 0, "bbox": [1, 6, 29, 57, 76], "bc": [0, 67], "beauti": 26, "becaus": 4, "becom": 35, "been": [0, 23], "befor": [0, 2, 18, 19, 20], "being": [0, 11, 76, 77, 83], "below": 0, "beta": 0, "better": 72, "between": [0, 7, 8, 9, 13, 63, 97], "bheifet": 1, "bia": 67, "bias_correct": [67, 71, 76], "bilater": [0, 3, 11, 14, 18, 20], "bilinear": 29, "bin": [0, 2, 77], "binar": [0, 3, 35], "binari": [35, 48, 85], "binary_mask": 48, "bit": [43, 76], "blue": 0, "blur": 45, "bool": [28, 29, 31, 41, 59, 67, 80, 100], "boolean": [7, 8, 9, 20, 27], "bori": 1, "both": [0, 25, 26, 31, 76, 82, 91], "botleneck": 0, "bottom": [0, 51], "bound": [0, 5, 6, 29, 50], "boundari": 48, "bounding_box": 50, "box": [0, 5, 6, 29, 50], "bracket": 0, "brain": [1, 11, 19, 48, 61, 62, 67, 72, 76, 91, 95], "brain_mask": [0, 1, 75, 76], "brain_mask_ilp": 0, "brain_model": [1, 24, 76], "branch": 2, "bright": 0, "browser": 1, "bspline": 96, "build": 2, "button": 0, "bz2": 2, "c": [0, 2, 4, 7, 8, 9, 13, 60, 77, 84], "c1": [0, 7, 8, 9], "c2": [0, 7, 8, 9], "c3": 0, "calcul": [0, 7, 8, 9, 22, 60, 61, 62, 92], "calculate_frag": [76, 91, 92], "calculate_mean_intens": [61, 62, 65, 76], "calculate_padded_dimens": [76, 97, 99], "calculate_regional_cell_dens": [60, 65, 76], "calculate_regional_volum": [22, 24, 60, 65, 76], "calculate_resampled_padded_dimens": [76, 98, 99], "calculate_top_region": [23, 24, 76], "call": 77, "callabl": 56, "camel": 0, "can": [1, 2, 4, 23, 27, 31, 36, 72, 74, 77, 81, 82, 86, 94], "can_collaps": [23, 24, 76], "captur": 4, "case": [0, 20], "casei": 1, "cat": 0, "categori": 22, "cc3d": 1, "ccfv3": [0, 19, 41, 87], "cd": [0, 2, 61, 77], "cell": [0, 1, 5, 13, 16, 17, 18, 20, 60, 64], "cell_count": [5, 18, 20], "cell_dens": [5, 18, 20], "cell_density_data": 0, "cell_density_summary_for_valid_clust": 4, "cell_des": 60, "cellular": 1, "center": [1, 87], "central": 4, "certain": [76, 83], "cfo": [0, 74], "cfos_rb4_atlas_spac": 0, "cfos_seg": 74, "cfos_seg_ilastik_1": [0, 5], "chang": [0, 77, 82], "channel": 28, "chart": 0, "check": [0, 7, 8, 9, 20, 31, 68, 77, 88, 92], "check_fdr_command": [76, 91, 92], "choos": 0, "ci": [7, 8, 9, 15], "class": [25, 26, 27, 28, 31], "classif": [0, 29, 72, 74], "clean": [1, 80], "clean_tif_dir": [1, 76, 83], "clean_tifs_dir": [76, 80, 83], "cli": [76, 99], "click": 0, "clone": [2, 77], "close": 0, "cluster": [1, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 29, 57, 64, 76, 91], "cluster_": 15, "cluster_1": [7, 8, 9], "cluster_2": [7, 8, 9], "cluster_bbox": [5, 24, 76], "cluster_bbox_parallel": [5, 24, 76], "cluster_bbox_result": 5, "cluster_brain_model": [0, 3, 4], "cluster_column": 9, "cluster_crop": [0, 6], "cluster_data": 5, "cluster_fdr": [1, 11, 13, 19, 92], "cluster_fdr_rang": [1, 12, 92], "cluster_find_incongru": 13, "cluster_find_incongruent_clust": 0, "cluster_group_data": [0, 4, 14], "cluster_id": [5, 13, 18, 20, 29, 30, 76], "cluster_idx": 17, "cluster_index": [0, 4, 11, 15, 22, 23, 24, 76], "cluster_index_dir": 5, "cluster_index_img": 11, "cluster_index_nii": 11, "cluster_info": 23, "cluster_legend": [0, 4, 16], "cluster_list": [7, 8, 9], "cluster_mirror_indic": [1, 11, 19], "cluster_org_data": [0, 14, 17, 18, 24, 76], "cluster_pr": [0, 4, 18], "cluster_stat": [0, 1, 76], "cluster_summari": [1, 5, 21, 24, 76], "cluster_sunburst": [0, 22], "cluster_t": [0, 4, 16, 23], "cluster_valid": [1, 11, 14, 17, 19, 20, 22, 24, 76], "cluster_valid_results_1": 14, "cluster_valid_results_1_lh": 14, "cluster_valid_results_1_rh": 14, "cluster_valid_results_2": 14, "cluster_valid_results_2_lh": 14, "cluster_valid_results_2_rh": 14, "cluster_validation_data_df": [20, 24, 76], "cluster_validation_dir": 14, "cluster_validation_info": 21, "cluster_validation_summari": [18, 21], "cluster_validation_summary_t": 4, "cluster_validation_summary_tukei": 4, "cluster_volum": [18, 20], "cluster_volume_in_cubic_mm": 5, "clusters_path": 17, "code": [2, 22, 29, 38, 41, 64, 67], "codebas": 1, "col_num": 16, "col_w_label": 16, "cold": 1, "collabor": 1, "collaps": 23, "collapse_hierarchi": [23, 24, 76], "color": [3, 22], "color_arg": 64, "column": [0, 7, 8, 9, 13, 16, 18, 20, 22, 23, 31, 41, 63, 64, 81], "com": 2, "combin": 23, "command": [1, 2, 4, 5, 14, 18, 19, 20, 23, 25, 31, 32, 36, 42, 45, 62, 66, 70, 72, 76, 80, 81, 84, 92], "command_log": [0, 31], "comment": 27, "commit": 2, "common": [1, 76], "compact": 31, "compar": [9, 20], "comparison": [0, 4, 7, 8, 9, 13, 20, 92], "complet": [0, 31], "compon": 5, "compris": 22, "comput": [0, 2], "concaten": 21, "condit": [0, 4, 7, 8, 9, 18, 20, 60, 65, 74, 76, 81, 83, 85], "condition1_sample01_": [18, 20], "condition1_sample02_": [18, 20], "condition2_sample03_": [18, 20], "condition2_sample04_": [18, 20], "condition_1": [7, 8, 9], "condition_2": [7, 8, 9], "condition_column": [7, 8, 9, 20], "condition_prefix": 20, "condition_selector": [7, 8, 9, 10, 20, 24, 76], "config": [0, 1, 4, 30, 31, 76], "config_fil": 27, "config_path": 31, "configpars": 27, "configur": [2, 26, 27, 30, 31, 76, 77], "confirm": 2, "conflict": 77, "connect": [5, 60], "consid": [0, 20, 95], "consol": 26, "consolid": 14, "contain": [7, 8, 9, 14, 20, 22, 28, 29, 31, 48, 62, 64, 73, 80, 81, 97, 100], "content": [0, 31, 87], "context": 0, "context1": 0, "context2": 0, "contrast": [0, 11, 92], "contrast_vox_p_tstat1_q": 0, "control": [0, 4, 27, 63, 81, 84], "control_": 0, "control_avg": 0, "control_sample01_cell_density_data": 0, "control_sample01_cfos_rb4_atlas_space_z": 63, "control_sample01_fil": 81, "control_sample01_rb4_atlas_space_z": 0, "control_sample01_regional_cell_dens": 0, "control_sample02_cell_density_data": 0, "control_sample02_rb4_atlas_space_z": 0, "control_v_treat": 0, "control_v_treatment_vox_p_tstat1": 0, "control_v_treatment_vox_p_tstat1_q0": 0, "control_v_treatment_vox_p_tstat2": 0, "control_v_treatment_vox_p_tstat2_q0": 0, "conveni": 27, "convent": [0, 14, 18, 20, 29], "convers": [29, 35, 70], "convert": [0, 13, 33, 35, 39, 40, 44, 46, 89], "convert_dtyp": [35, 43, 76], "coordin": [28, 41, 60], "copi": [0, 4, 17, 31, 68, 69, 73, 76, 79, 83, 87, 96], "copy_fil": [30, 31, 76], "copy_nii_head": [76, 96, 99], "copy_specific_slic": [73, 75, 76], "copy_stats_fil": [17, 24, 76], "copy_tif": [0, 1, 75, 76], "core": [1, 76], "corr_factor": [7, 8, 9], "correct": [1, 7, 8, 9, 11, 12, 17, 67, 77, 92], "correl": 89, "correlation_map": 89, "correspond": 14, "could": 45, "count": [0, 5, 23, 60, 74], "count_cel": [5, 24, 76], "count_cells_in_region": [60, 65, 76], "count_fil": [74, 75, 76], "counterpart": 86, "cp": [4, 17, 21, 24, 76], "creat": [0, 2, 7, 8, 9, 14, 15, 20, 23, 28, 77, 92], "create_design_ttest2": [76, 91, 92], "criteria": 23, "criterion": 23, "crop": [0, 1, 5, 24, 29, 30, 76], "crop_outer_spac": [5, 24, 76], "csv": [1, 3, 4, 5, 7, 8, 9, 11, 13, 14, 15, 17, 18, 20, 21, 22, 46, 60, 61, 62, 63, 64, 81, 84], "csv_file": [18, 20, 81], "csv_path": 63, "csv_pattern": 21, "ctrl": 0, "cubic": 56, "curl": 2, "current": [0, 4, 5, 20, 32, 42, 56, 64, 68, 69, 81], "custom": [22, 25, 26, 65, 76], "custom_atla": 63, "custommofncompletecolumn": [30, 31, 76], "customtimeelapsedcolumn": [30, 31, 76], "customtimeremainingcolumn": [30, 31, 76], "cvd": [0, 4, 17], "cwd": [32, 42], "czi": [0, 28, 33, 34, 36, 50, 56, 62, 70, 74, 93, 96], "czi_path": 28, "d": [0, 2, 35, 36, 56, 64, 70, 77, 79, 80], "d32525": 64, "d_type": 40, "dan": 0, "daniel": 1, "danrij": [1, 2], "dark": 31, "data": [1, 4, 7, 8, 9, 11, 15, 17, 18, 20, 22, 28, 29, 35, 38, 41, 56, 61, 62, 85, 87], "data_col": 20, "data_col_pool": 20, "data_column_nam": 18, "data_df": 20, "data_typ": [11, 15, 28, 35], "databas": 27, "database_config": 27, "datafram": [7, 8, 9, 16, 20, 23, 63, 64], "dataset": [1, 32], "dbarbosa": 1, "deactiv": 2, "decor": 31, "decreas": 13, "deep_avg": 0, "deeper": 23, "default": [28, 29, 31, 32, 41, 42, 56, 59, 62, 82, 85, 87, 96, 100], "defin": [1, 11, 25, 26, 27, 28], "define_zarr_to_nii_output": [43, 44, 76], "delet": [0, 4], "densens": 64, "densiti": [0, 1, 5, 7, 8, 9, 13, 17, 20, 60], "density_col": 20, "density_in_clust": [5, 24, 76], "density_in_cluster_parallel": [5, 24, 76], "density_typ": 17, "deped": 2, "depend": 56, "depth": [22, 23], "depth_": 22, "depth_col": 23, "descend": 23, "describ": [0, 7], "descript": [0, 1, 25, 26, 76], "design": [0, 25, 26, 92], "design_fts_path": 92, "desir": [0, 28, 96], "desired_axis_ord": [28, 32, 42], "dest": [17, 25, 26], "dest_dir": 79, "dest_path": 17, "destin": [17, 79], "detail": [0, 2, 31], "detect_outli": [88, 90, 91], "determin": [0, 23, 35, 41, 67, 77], "dev": 2, "deviat": [45, 95], "devnul": 66, "df": [7, 8, 9, 13, 20, 23, 63, 64], "df_collaps": 23, "df_origin": 23, "df_sort": 23, "df_w_rgb": 16, "di": 85, "diagnos": 77, "diagon": 41, "dict": [22, 27], "dictionari": [22, 27], "differ": [0, 13, 20, 45, 97], "difference_of_gaussian": [45, 57, 76], "diffus": 0, "dilat": [48, 85], "dilate_mask": [76, 85, 91], "dimens": [28, 36, 56, 85, 98], "dir": [1, 4, 5, 18, 20, 23, 31, 36, 60, 63, 68, 69, 70, 72, 73, 76, 78, 80, 82, 83, 93], "dir_nam": [0, 4, 81, 84], "direct": [0, 11, 13, 20, 41, 67, 85], "directioanl": 0, "directli": [24, 76], "directori": [0, 2, 4, 11, 14, 15, 16, 17, 20, 28, 31, 32, 36, 42, 64, 68, 69, 70, 72, 73, 74, 76, 78, 80, 81, 83, 96], "dirnam": [0, 4], "displai": [25, 26, 31], "distribut": 2, "distrubut": 0, "do": [0, 54, 64, 97], "doc": 0, "document": [0, 2, 77], "doe": [0, 1, 13, 20, 77], "dog": [1, 57, 76], "don": [28, 64], "done": 0, "doubl": [0, 64], "download": 2, "dr": 1, "drag": 0, "draw": 0, "drive": 2, "drop": 0, "drug": 0, "drug_sample01_atlas_space_z": 0, "dry_run": 82, "dsi": 0, "dsi_studio": 3, "dtype": [35, 85, 96], "dunnett": 64, "durat": 31, "dure": 0, "dynam": 23, "e": [0, 2, 4, 5, 7, 8, 9, 11, 12, 17, 20, 21, 25, 26, 36, 41, 45, 46, 51, 62, 63, 68, 69, 70, 74, 76, 77, 78, 80, 84, 91, 92, 93, 96, 97, 100], "each": [0, 4, 5, 7, 8, 9, 11, 14, 20, 22, 23, 31, 36, 56, 57, 60, 61, 62, 63, 64, 68, 69, 76], "earli": 1, "earliest": 23, "easi": 0, "easier": 0, "echo": 2, "edg": [45, 56], "edit": [0, 1], "edu": [1, 2], "effect": [0, 7, 8, 9, 11, 20], "effect_s": [0, 1, 24, 76], "effect_sizes_by_sex__absolut": [10, 24, 76], "effect_sizes_by_sex__rel": [10, 24, 76], "effect_sizes_sex_ab": [0, 8], "effect_sizes_sex_rel": [0, 9], "either": [28, 32, 41, 42], "elaps": 31, "elapsed_when_finish": 31, "element": 0, "els": 0, "empti": [0, 25, 26], "enabl": [31, 80], "encount": 77, "end": 31, "enhanc": [25, 26, 31], "enough": [0, 45], "ensur": [0, 23, 45], "enter": [0, 8, 9], "environ": [2, 77], "epilog": [25, 26], "error": [7, 8, 9, 20, 66], "essenti": 2, "establish": 23, "etc": [1, 2, 11, 20, 100], "ev": 0, "ev1": 0, "ev2": 0, "ev3": 0, "ev4": 0, "eval": 2, "everi": 35, "exact": [7, 8, 9, 20], "exactli": [7, 8, 9, 20], "exampl": [1, 2, 13, 14, 15, 18, 20, 22, 25, 26, 27, 31, 41, 64, 70, 77, 81, 93, 96], "exclud": [0, 74, 76, 91], "exec": [2, 4], "execut": [31, 77], "exist": 28, "exp": [1, 4, 70, 72], "exp1": 31, "exp2": 31, "exp_dir": 0, "exp_dir_path": 31, "exp_path": 36, "expect": [20, 77], "expected_higher_mean_group": 13, "expected_lower_mean_group": 13, "experi": [1, 5, 17, 31, 36, 62, 68, 69, 70, 72, 80], "explicit": 31, "explor": 1, "export": 2, "extend": [0, 1, 27, 57, 76], "extend_one_side_3d_arrai": [51, 57, 76], "extens": [51, 56, 80], "extern": 0, "extra": [0, 2], "extract": [0, 28, 43, 76], "extract_resolut": [28, 30, 76], "extract_unique_regions_from_fil": [16, 24, 76], "extrem": 0, "ey": 0, "f": [0, 4, 8, 9, 63, 66, 67, 81, 97, 100], "f1": 0, "f2": 0, "f3": 0, "face": 0, "factor": 67, "fals": [22, 23, 27, 28, 29, 31, 32, 41, 42, 59, 63, 67, 73, 78, 82, 98, 100], "faster": [0, 65, 76], "fdr": [0, 1, 12, 24, 76, 89, 92], "fdr_path": 11, "fdr_rang": [0, 1, 24, 76], "featur": [0, 1, 45, 54, 74], "fiber": 0, "field": 67, "file": [0, 2, 4, 5, 14, 16, 17, 18, 19, 20, 22, 27, 28, 29, 31, 32, 33, 36, 41, 42, 45, 48, 50, 52, 54, 60, 61, 62, 63, 73, 74, 76, 77, 79, 80, 81, 83, 84, 94, 100], "file_path": [16, 19, 28, 31, 52], "filenam": [0, 31, 81, 82], "fill": 0, "fill_na_with_last_known": [23, 24, 76], "filter": [0, 56, 63], "filter_datafram": [7, 8, 9, 10, 24], "filter_func": 56, "filter_region_id": [63, 65, 76], "final": [0, 100], "find": [0, 4, 13, 21, 29, 32, 42, 48, 52], "find_and_copy_fil": [76, 79, 83], "find_bounding_box": [29, 30, 76], "find_incongruent_clust": [1, 24, 76], "find_largest_h5_fil": [32, 43, 76], "find_largest_tif_fil": [42, 43, 76], "find_matching_directori": [17, 24, 76], "find_max_intens": [52, 57, 76], "first": [4, 18, 20, 32, 41, 45, 63], "fisher": 89, "fix": [0, 35, 77, 96, 97, 100], "fixed_imag": 66, "fixed_image_path": 66, "fixed_img_path": [97, 100], "fixed_reg_in": [96, 97, 98], "fixed_scal": 35, "fixed_scale_rang": 35, "flag": [0, 22, 27, 92], "flank": 64, "flip": [0, 87], "float": [11, 12, 28, 35], "float32": [28, 35, 95], "float64": 35, "flourish": 22, "fluoresc": 1, "fo": [0, 85], "focu": 25, "folder": [1, 14, 36, 62, 70, 74, 80, 81, 97, 100], "follow": [0, 2, 4, 14, 77, 81, 84], "foreground": 0, "form": 0, "form_cod": 41, "format": [0, 4, 12, 25, 26, 28, 84], "formatter_class": [25, 26], "forward": [76, 97, 99], "forward_warp": [76, 97, 99], "fos_rb4_gubra_space_z_lravg": 78, "fos_seg_ilastik": 85, "fos_seg_ilastik_2": 85, "fos_wo_halo": 85, "found": [2, 7, 8, 9, 20, 28, 31], "fragment": 92, "fri": 97, "from": [0, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 84, 86, 87, 91, 92, 93, 94, 95, 96, 97, 98, 100], "front": 51, "fsl": [0, 1, 2, 92], "fslconf": 2, "fsldir": 2, "fsley": 0, "fsleyes_lut": 0, "fslpy": 1, "fstat": 0, "fstat1": 0, "fstat2": 0, "fstat3": 0, "full": [0, 28, 31, 32, 42, 62, 70, 75, 76, 85, 97, 98], "full_res_dim": [85, 98], "full_res_img": [0, 36], "func": 31, "function": [0, 7, 8, 9, 20, 29, 30, 31, 56, 76], "fund": 1, "fuse": 0, "futur": [2, 45], "g": [0, 2, 4, 7, 8, 9, 11, 12, 13, 20, 21, 41, 45, 46, 63, 74, 76, 91, 92, 96, 97, 100], "g1": 45, "g2": 45, "gap": 0, "gaussian": [0, 45], "gener": [0, 11, 15, 22, 48, 63], "generate_summary_t": [18, 24, 76], "generate_sunburst": [15, 24, 76], "generate_wirefram": [47, 48, 57], "get": [0, 5, 29, 31, 34, 38, 41, 60, 88], "get_all_region_id": [63, 65, 76], "get_atlas_region_at_coord": [60, 65, 76], "get_dims_from_tif": [36, 43, 76], "get_dir_name_from_arg": [30, 31, 76], "get_fill_color": [23, 24, 76], "get_groups_info": [76, 91, 92], "get_max_region_id_from_csv": [63, 65, 76], "get_region_detail": [63, 64, 65, 76], "get_sampl": [30, 31, 76], "get_top_regions_and_percent_vol": [23, 24, 76], "git": 2, "github": [1, 2, 74, 77, 92], "given": [11, 15, 27, 31, 48, 60, 85], "glm": 0, "glob": [0, 28, 36, 70, 79, 93, 96], "global": 27, "go": [0, 2], "googl": [0, 2], "gov": [0, 7], "gradient": 0, "greater": [20, 59, 85], "green": 31, "gregori": 1, "group": [0, 4, 7, 8, 9, 11, 13, 20, 23, 63, 64, 92], "group1": [0, 4, 11, 20, 63, 64], "group1_avg": 11, "group1_siz": 92, "group2": [0, 4, 11, 20, 63, 64], "group2_avg": 11, "group2_siz": 92, "group3": [20, 63], "group4": 20, "group_1": 63, "group_2": 63, "group_3": 63, "group_bilateral_data": [1, 24, 76], "group_column": 64, "group_hemisphere_data": [14, 24, 76], "groupa": 13, "groupb": 13, "gubra": [1, 19, 66, 87], "gubra_ano_25um_bin": 0, "gubra_ano_combined_25um": 0, "gubra_ano_split_25um": [0, 3], "gubra_mask_25um_wo_ventricles_root_fibers_lh": 0, "gubra_mask_25um_wo_ventricles_root_fibers_rh": 0, "gubra_template_25um": [0, 66], "gui": 0, "guid": [1, 2, 74, 92], "guidanc": 1, "gz": [0, 3, 5, 6, 11, 12, 15, 19, 20, 22, 28, 29, 34, 35, 36, 37, 38, 39, 40, 41, 44, 46, 48, 49, 50, 52, 53, 55, 56, 59, 60, 61, 62, 63, 66, 67, 68, 69, 70, 72, 78, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "h": [0, 77], "h5": [0, 28, 32, 34, 36, 56, 70, 93, 96], "h5_to_tif": [1, 43, 76], "ha": [0, 13, 18, 20, 23, 32, 41, 63, 77], "handl": [0, 7, 8, 9, 20, 25, 26, 28, 31], "has_hemispher": 20, "have": [0, 1, 4, 11, 31, 45, 67, 77, 81, 84], "hdf5": [28, 32], "hdf5_path": [28, 32], "header": [0, 37, 96], "headless": 0, "hedg": [7, 8, 9], "hedges_g": [7, 8, 10, 24], "heifet": [0, 1, 2, 74, 77, 92], "heifetslab": [1, 2], "help": [1, 13, 25, 26, 45, 74, 77], "helper": [30, 76], "helpformatt": 25, "hemi": [0, 64], "hemi_to_lr_avg": [0, 1, 76, 91], "hemispher": [0, 11, 14, 20, 86, 95], "here": [0, 2, 7], "hex": 64, "hg": [4, 20], "hidden": [0, 31], "hide": 0, "hierarchi": [22, 24, 76], "higher": 0, "higher_group": 4, "higher_mean_group": [13, 20], "highest": 32, "highlight": 45, "histori": [0, 2], "hold": 27, "home": [0, 2], "hot": 1, "how": 92, "hsd": 20, "html": [74, 92], "http": [0, 2, 7, 22, 74, 77, 92], "hypothesi": 20, "i": [0, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 20, 22, 23, 25, 26, 28, 29, 31, 32, 33, 34, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 62, 63, 65, 67, 70, 72, 73, 74, 76, 77, 80, 83, 84, 85, 87, 89, 92, 93, 95, 96, 97, 98, 100], "iba1_rb20": 85, "iba1_rb20_clust": 85, "iba1_seg_ilastik_2": 85, "ic": 46, "id": [0, 3, 11, 13, 15, 18, 22, 29, 46, 48, 63, 64], "ideal": [0, 45], "identifi": [23, 77], "idisco": [0, 1], "if_img": 62, "if_outli": [76, 90, 91], "ilastik": [1, 2, 29, 70, 72, 73, 74], "ilastik_brain_mask": [0, 73], "ilastik_log": 29, "ilastik_pixel_classif": [0, 1, 75, 76], "ilastik_project": [29, 74], "ilastik_segment": [0, 73], "ilp": [0, 72, 74], "imag": [3, 5, 6, 11, 15, 22, 28, 29, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59, 60, 61, 62, 67, 70, 74, 75, 76, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 97, 98, 100], "image_io": [0, 1, 76], "image_nam": 61, "image_path": 67, "image_pir": 41, "image_pir_appli": 41, "image_to_warp_from_atlas_spac": 98, "image_tool": [0, 1, 76], "img": [0, 6, 15, 19, 22, 35, 37, 38, 40, 44, 45, 50, 54, 58, 85, 87, 95, 96, 98], "img_avg": [1, 11, 49], "img_bbox": [0, 50], "img_crop": 6, "img_dog": [0, 45], "img_extend": [0, 51], "img_in_atlas_spac": 96, "img_io": [1, 30, 76], "img_max": [0, 52], "img_pad": [0, 53], "img_path": [28, 40, 44], "img_rb": [0, 54], "img_resampl": [0, 55, 70], "img_spatial_avg": [0, 56], "img_to_npi": [1, 43, 76], "img_tool": [1, 30, 76], "img_transpos": [0, 58], "img_uniqu": [0, 59, 63], "img_wb": 3, "immunofluo": [0, 93], "immunofluoresc": [0, 1, 61, 62, 75, 76], "immunolabel": 0, "immunostain": 11, "implement": 45, "import": [25, 26, 27, 31, 66, 98], "improv": [0, 2, 25], "inactiv": 84, "includ": [28, 31, 70], "incongru": 13, "increas": [0, 13, 31, 80], "indent": [25, 26], "indent_incr": [25, 26], "index": [0, 1, 3, 5, 11, 24, 29, 76], "indic": [0, 11, 13, 19, 20, 35, 41], "individu": 23, "inferior": 41, "info": [1, 17, 21, 31, 74, 92, 96], "inform": [2, 7, 11], "inherit": [25, 26], "ini": [0, 4, 27, 31], "init": 2, "initi": [0, 1, 2, 25, 26, 27, 29, 31], "initialize_progress_bar": [30, 31, 76], "inlin": 27, "innacuraci": 0, "inp": [67, 100], "input": [0, 3, 7, 8, 9, 11, 12, 13, 15, 16, 18, 20, 22, 28, 32, 34, 35, 36, 41, 42, 45, 46, 54, 56, 59, 63, 67, 70, 72, 86, 92, 93, 94, 95, 96, 97, 100], "input_imag": 55, "input_image_path": 92, "input_img": [59, 95], "input_img_lh": 86, "input_img_lravg": [86, 94], "input_img_rh": 86, "input_img_s100_lravg": 86, "input_name_rev_cluster_index": 11, "input_nii_path": 28, "input_path": [11, 12, 22], "input_sunburst": 22, "insid": 48, "inspir": 1, "instal": [0, 1, 77], "instanc": 77, "instead": [0, 45, 77], "institut": 1, "instruct": [0, 2], "int": [26, 28, 29, 41, 56, 59, 67, 87], "int16": 35, "int32": 35, "int64": 35, "int8": 35, "integ": 35, "intend": 45, "intens": [0, 11, 13, 29, 35, 46, 48, 52, 57, 60, 61, 62, 63, 76, 88, 91, 95], "interact": 0, "interest": [0, 1, 7, 8, 9, 20, 45, 54], "interior": [0, 67], "intern": 48, "interpol": [29, 85, 96, 97, 98, 100], "introduc": 13, "inv": 100, "invers": [76, 99], "invoc": [25, 26], "invok": 77, "involv": 80, "io": [74, 77, 92], "io_h5_to_tif": [0, 32], "io_img": [0, 1, 43, 76], "io_img_to_npi": [0, 33], "io_metadata": [0, 36, 98], "io_nii": [0, 1, 43, 76], "io_nii_hd": [0, 37], "io_nii_info": [0, 38], "io_nii_to_tif": [0, 39], "io_nii_to_zarr": [0, 40], "io_reorient_nii": [0, 41], "io_tif_to_tif": [0, 42], "io_zarr_to_nii": [0, 44], "is_fil": 28, "isol": 0, "issu": [2, 77], "item": 31, "iter": [31, 85], "its": [27, 28, 37, 38, 41, 48, 52, 56, 93, 94], "j": 0, "k": [0, 86, 92, 94], "keep": [0, 45, 77], "kei": [22, 27, 81], "kernel": [0, 56, 86, 94], "kernel_s": 56, "kill": 66, "kwarg": [25, 26, 31], "l": [0, 13, 41, 67], "lab": [0, 1], "label": [0, 1, 5, 13, 16, 17, 18, 20, 22, 46, 63, 72, 74], "label_dens": [5, 18, 20], "label_volum": [18, 20], "larg": [0, 7, 8, 9], "larger": [0, 23, 45, 54], "largest": [0, 11, 32, 42, 48], "last": [0, 20, 92], "latest": 2, "launch": 0, "layer": 0, "lead": 1, "learn": 0, "least": 45, "leav": 54, "left": [0, 14, 41, 51, 67], "legaci": 29, "legend": [0, 1, 4, 24, 76], "len": 31, "less": [0, 20, 54, 85], "letter": [29, 38, 41, 67], "level": [0, 22, 23], "lh": [0, 20], "lh_file": 86, "libbz2": 2, "libffi": 2, "liblzma": 2, "libncurses5": 2, "libncursesw5": 2, "librari": [25, 26], "libreadlin": 2, "libsqlite3": 2, "libssl": 2, "lightsheet": [0, 1], "like": [27, 38], "likewis": 4, "line": [0, 1, 2, 25, 31, 62], "linear": [67, 96, 100], "link": [0, 2], "linux": [0, 1], "list": [1, 5, 7, 8, 9, 12, 17, 20, 29, 31, 48, 59, 64, 68, 69, 70, 73, 77, 84], "list_of_exp_dir_path": 84, "live": 0, "llvm": 2, "load": [0, 5, 6, 28, 31, 32, 34, 37, 38, 42, 45, 50, 51, 52, 54, 56, 59, 70, 85, 87, 88, 93], "load_3d_img": [28, 30, 76], "load_3d_tif": [42, 43, 76], "load_config": [30, 31, 76], "load_czi": [28, 30, 76], "load_data": [63, 65, 76], "load_h5": [28, 30, 32, 43, 76], "load_image_metadata_from_txt": [28, 30, 76], "load_mask": [76, 85, 91], "load_nii": [28, 30, 76], "load_nii_orient": [28, 30, 76], "load_nii_subset": [28, 30, 76], "load_text_from_fil": [30, 31, 76], "load_tif": [28, 30, 45, 54, 57, 76], "load_zarr": [28, 30, 76], "local": [2, 66], "locat": [0, 2, 4, 77], "log": [1, 31], "log_command": [30, 31, 76], "long_nam": 17, "longer": 0, "look": 63, "loop": 20, "lower": [0, 70], "lp": 41, "lsfm": [0, 1], "lut": [0, 63], "m": [0, 2, 3, 5, 8, 9, 19, 59, 60, 66, 67, 77, 80, 85, 88, 97, 98, 100], "m2": 67, "ma": [0, 11, 12, 85, 92], "maco": 0, "mai": [0, 13, 54, 94], "main": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100], "main_effect_": 0, "maintain": [1, 23], "mainten": 1, "make": [1, 2, 4, 11, 77, 82], "make_par": 28, "malenka": 1, "manag": [2, 25, 26], "map": [0, 1, 11, 12, 13, 89], "mask": [0, 5, 11, 12, 48, 67, 69, 72, 76, 86, 88, 91, 92, 94], "mask_condit": 85, "mask_ndarrai": 85, "mask_path": [11, 12, 67, 85, 92], "mat_fil": 92, "match": [0, 7, 8, 9, 13, 17, 20, 21, 29, 31, 70, 79, 81, 85, 88, 93, 96, 98, 100], "matrix": [0, 28, 38, 41, 92], "max": [0, 1, 35, 57, 76], "max_cluster_id": 11, "max_decim": 12, "max_help_posit": [25, 26], "max_region_id": 63, "max_valu": 23, "maximum": [52, 63], "mdma": [0, 64, 84], "mdma_sample01": [0, 64], "mean": [0, 13, 56, 61, 62, 63, 76, 77, 88, 91, 95], "mean_if_in_seg": 62, "mean_if_intens": 63, "mean_intensities_dict": 62, "mean_intensity_in_brain": [76, 85, 91], "mean_intensity_within_mask": [88, 90, 91], "mean_std_count": [9, 10, 24], "meandiff": 64, "meaning": 23, "means_in_mask_plot": 88, "measur": [0, 5, 61, 62], "medium": [7, 8, 9], "meet": 23, "mehrdad": 1, "member": 0, "memori": 31, "menu": 2, "messag": [25, 26, 66], "met": 23, "metacel": 1, "metadata": [0, 1, 28, 30, 32, 34, 42, 43, 76, 98], "metadata_from_3d_tif": [42, 43, 76], "metadata_from_h5": [32, 43, 76], "metadata_path": 36, "metadata_rel_path": 98, "metavar": [25, 26], "meth": [0, 64], "meth_sample23": [0, 64], "method": [2, 25, 26, 27, 45], "mi": 96, "microglia": [76, 91], "micron": [0, 15, 22, 28, 29, 32, 36, 42, 70], "microscopi": 1, "microsoft": 2, "mid": 0, "middl": 0, "might": 45, "mimic": [29, 70], "min": [35, 57, 76], "min_cluster_size_in_voxel": [0, 11], "min_ext": [29, 59], "min_siz": 11, "minext": 29, "minim": 0, "minimum": 23, "minu": 0, "miracl": [1, 29, 70, 98], "mirror": [0, 1, 11, 19, 76, 86, 91, 94], "misc": 0, "miss": 0, "mm": [0, 22], "mode": [0, 29, 31], "model": 0, "modifi": [25, 26], "modul": [0, 1, 10, 24, 30, 43, 47, 57, 65, 71, 75, 83, 90, 91, 99], "mofncompletecolumn": 31, "more": [2, 54], "most": 0, "mous": 0, "move": [0, 14, 23, 80, 97], "moving_imag": 66, "moving_image_path": 66, "moving_img": [5, 97], "moving_img_path": [97, 98, 100], "much": 0, "multilabel": [96, 97, 100], "multipl": [4, 25, 26, 29, 92], "multipli": 3, "must": [0, 56], "mv": 2, "n": [2, 82, 95], "n4": 67, "name": [1, 4, 5, 7, 8, 9, 11, 14, 16, 17, 18, 20, 31, 63, 64, 76, 80, 83, 84, 96], "namespac": [25, 26, 62], "narg": [25, 26], "nativ": [0, 29, 65, 76, 96, 98], "native_": 98, "native_atlas_split": [0, 60], "native_cluster_index": 5, "native_cluster_index_crop": 5, "native_img": 98, "navig": [0, 2], "ncbi": [0, 7], "ndarrai": [11, 15, 22, 28, 29, 32, 33, 35, 40, 41, 42, 44, 45, 48, 51, 54, 56, 58, 60, 62, 67, 70, 85, 87, 89, 95, 98], "ndarray_axis_ord": [28, 32, 42], "ndimag": 70, "nearest": [85, 98], "nearestneighbor": [96, 100], "necessari": 31, "need": [0, 4, 11, 27, 43, 45, 63, 76, 81, 97], "neg": 41, "neighbor": [0, 56, 85, 98], "neither": [7, 8, 9, 20], "new": [0, 1, 2, 14, 17, 19, 23, 41, 77], "new_affin": 41, "new_imag": 46, "new_img": 96, "new_nii": 41, "new_text": 82, "new_valu": 85, "next": [0, 5, 11, 32, 36, 42, 60, 61, 62, 67, 70, 72, 92, 93, 94, 95], "nfi": 2, "ngregori": 1, "nibabel": [1, 37, 38, 41], "nick": 1, "nida": 1, "nifti": [0, 15, 28, 29, 38, 41, 48, 49, 52], "nifti1": 41, "nifti1imag": 41, "nih": [0, 7], "nii": [0, 3, 5, 6, 11, 12, 15, 19, 20, 22, 28, 29, 34, 35, 36, 37, 38, 39, 40, 41, 44, 46, 48, 49, 50, 52, 53, 55, 56, 59, 60, 61, 62, 63, 66, 67, 68, 69, 70, 72, 78, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "nii_axis_cod": [38, 43, 76], "nii_hd": [1, 43, 76], "nii_img": 96, "nii_info": [1, 43, 76], "nii_path": [28, 39, 41], "nii_to_ndarrai": [40, 43, 76], "nii_to_tif": [1, 43, 76], "nii_to_zarr": [1, 43, 76], "nlm": [0, 7], "node": 0, "nois": [0, 45, 54], "non": [0, 11, 13, 41, 57, 76, 80], "none": [6, 11, 20, 23, 25, 26, 28, 29, 31, 35, 41, 61, 63, 67, 85, 86, 94, 97, 98], "nor": [7, 8, 9, 20], "notabl": 0, "note": [1, 25, 26, 27, 44, 60], "now": 64, "np": [28, 41, 48, 56, 62, 70, 87, 89, 98], "npy": 33, "nuclei": [0, 45], "null": 2, "nullifi": 0, "num_contrast": 92, "num_group": 64, "num_of_items_to_iter": 31, "number": [0, 5, 16, 23, 56, 57, 60, 73, 74, 76, 85, 87, 92], "numpi": [0, 1, 28, 29, 35, 48, 56], "o": [0, 4, 5, 6, 11, 21, 33, 34, 39, 40, 44, 46, 49, 50, 51, 55, 56, 66, 73, 74, 82, 85, 88, 93, 96, 97, 98, 100], "object": [0, 5, 20, 27, 31, 60], "oc": 46, "ochann": [51, 93, 96], "ochann_extend": 51, "ochann_rb4_atlas_spac": 93, "odt": 46, "off": 0, "often": [0, 72], "ok": [0, 4], "old_imag": 46, "old_text": 82, "om": [34, 56, 80], "one": [0, 4, 13, 20, 45, 51], "onli": [4, 23], "onlin": 0, "op": 92, "open": [2, 66], "opencv": [29, 45, 54], "openpyxl": 16, "openssl": 2, "oper": [0, 2, 82], "optim": 0, "option": [1, 17, 20, 22, 25, 26, 28, 29, 32, 35, 42, 59, 64, 67, 76, 77, 85, 91], "option_str": [25, 26], "orang": 31, "order": [0, 4, 23, 28, 29, 63, 67, 70, 77, 98], "org": 2, "org_data": [1, 24, 76], "organ": [0, 14, 17, 18, 20, 74, 77], "organize_validation_data": [17, 24, 76], "orient": [28, 29, 38, 41, 44, 67], "orientation_str": 29, "origin": [14, 29, 41, 77, 87], "original_dimens": [97, 98], "ort": [0, 67], "ort_cod": 67, "other": [0, 1, 2, 4, 11, 19, 32, 35, 42, 54, 76, 91], "other_mask": 85, "otherwis": [0, 23], "out": [0, 1, 66, 76, 91], "out_dir": 64, "outer": 5, "outer_bound": 5, "outer_xmax": 5, "outer_xmin": 5, "outer_ymax": 5, "outer_ymin": 5, "outer_zmax": 5, "outer_zmin": 5, "outlier": 88, "outlin": 48, "output": [0, 1, 3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 26, 28, 32, 34, 36, 41, 42, 44, 48, 56, 60, 61, 62, 63, 64, 67, 70, 72, 86, 89, 93, 94, 95, 96, 97, 98], "output_dir": [11, 15, 29, 39, 67], "output_fil": 61, "output_file_path": 29, "output_imag": 55, "output_img": 6, "output_index": 11, "output_nam": [74, 92], "output_path": [5, 22, 28, 40, 44, 45, 54, 62, 100], "output_prefix": 92, "output_rgb_lut": 22, "outsid": [0, 48], "outward": 0, "over": 0, "overrid": 22, "p": [0, 11, 12, 13, 17, 20, 41, 64, 67, 79, 88, 89, 92], "p50": 1, "p_val_txt": 17, "p_value_threshold": [0, 11], "packag": [0, 1, 77], "pad": [0, 1, 29, 30, 56, 57, 67, 76, 97, 100], "pad_fract": [97, 98], "pad_width": 29, "page": [0, 1, 2], "paint": 0, "pan": 0, "panda": 1, "parallel": [0, 5, 28, 29, 56], "parallel_load": 28, "param": [7, 8, 9], "paramet": [0, 7, 8, 9, 11, 12, 15, 16, 17, 20, 22, 23, 26, 28, 29, 31, 32, 35, 36, 41, 42, 48, 56, 59, 62, 64, 67, 70, 73, 80, 82, 85, 87, 95, 96, 98, 100], "parent": [0, 23, 28, 80], "pars": [25, 27], "parse_arg": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100], "parse_color_argu": [64, 65, 76], "parser": [25, 26], "part": 0, "pass": [0, 92], "password": 2, "past": 22, "path": [1, 2, 3, 4, 5, 6, 11, 12, 15, 17, 21, 22, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 46, 48, 50, 52, 56, 58, 59, 60, 61, 62, 63, 67, 70, 72, 73, 74, 77, 79, 80, 81, 84, 88, 89, 92, 93, 95, 96, 97, 98, 100], "path_or_pattern": 28, "path_to_tif_dir": 80, "pathlib": 31, "pattern": [0, 17, 28, 31, 36, 78, 79, 88], "pd": [7, 8, 9, 20], "pdf": 88, "pearson": 89, "pennmedicin": 1, "per": [31, 74], "percent": 53, "percent_vol": 23, "percent_vol_threshold": 23, "percentag": [23, 29], "perform": [0, 11, 12, 20, 54, 63, 67, 82, 94, 95], "perform_t_test": [63, 65, 76], "perform_tukey_test": [20, 24, 76], "period": 2, "permut": 92, "permutations_per_frag": 92, "pi": 1, "pip": [0, 1, 2, 77], "pir": 41, "pixel": [0, 29, 45, 56, 72, 74, 95], "pixel_classif": [29, 30, 76], "place": 12, "placehold": 0, "plane": 28, "plaqu": 0, "pleas": [0, 1], "plot": [0, 4, 15, 18, 22, 63, 64, 88], "plot_data": [63, 65, 76], "point": [35, 77], "pool": [7, 8, 9, 14, 18, 20], "posit": [0, 41, 67], "possibl": 35, "posterior": [0, 41, 67], "powershel": 2, "pre": 0, "precis": 85, "predict": 0, "prefer": [2, 77], "prefix": [0, 7, 8, 9, 20, 77, 81], "prep": [3, 75, 76], "prepar": [0, 70], "prepend": [0, 31, 76, 81, 83, 84], "prepend_condit": [0, 1, 76, 83], "preprocess": [0, 70], "prereq": [22, 23, 60, 63, 67, 72, 92, 93, 94, 95, 96, 98, 100], "present": [0, 7, 8, 9, 20, 57, 76], "preserv": [0, 44, 76, 91], "press": 0, "prevent": 0, "preview": [0, 22], "previou": 23, "print": [0, 1, 17, 27, 29, 31, 37, 38, 52, 57, 67, 76, 82], "print_dir": 31, "print_func_name_args_tim": [30, 31, 76], "print_id": 29, "print_metadata": [36, 43, 76], "print_siz": [29, 59], "prior": 0, "priorit": 23, "prism": [0, 1, 4, 24, 76], "probability_threshold": 11, "probabl": 11, "process": [0, 4, 11, 19, 20, 29, 31, 48, 56, 66, 70, 93, 96], "process_and_plot_data": [64, 65, 76], "process_fdr_and_clust": [11, 24, 76], "process_fil": [19, 24, 76], "process_intens": [47, 48, 57], "process_slic": [29, 30, 76], "profil": 0, "prog": [25, 26], "progress": 31, "progresscolumn": 31, "project": [1, 2, 72, 74, 77], "prompt": 2, "properti": 0, "provid": [0, 1, 5, 11, 27, 31, 35, 36, 63, 70, 80, 85, 98], "psilocybin": [7, 8, 9, 20], "psilocybin_v_saline_tstat1_q": 4, "public": 1, "pubm": [0, 7], "pull": [0, 2], "punctat": 0, "pwd": 0, "py": [0, 21, 88, 89], "pyenv": 2, "pyenv_root": 2, "pypi": [1, 2], "pyproject": [0, 77], "python": [1, 2, 71, 76, 99], "python3": 2, "q": [0, 11, 12], "q_valu": [0, 11, 12], "qc": [68, 69], "qform": 41, "qualiti": 0, "quantif": 1, "quantifi": [0, 5, 60], "question": [1, 2], "queue": 66, "quickli": 0, "quot": 64, "r": [0, 26, 41, 64, 67, 72, 81, 82, 97], "r_to_p": [76, 90, 91], "r_to_z": [89, 90, 91], "ra": [29, 38, 41, 44], "radii": 54, "radiu": [0, 29, 45, 54], "rais": [7, 8, 9, 20], "random": 0, "randomis": [0, 92], "randomise_parallel": [0, 92], "rang": [0, 35], "rate": 20, "ratio": 45, "raw": [1, 4, 62], "raw_data_for_t": 4, "raw_tif_dir": [0, 73], "rawconfigpars": 27, "rb": [0, 1, 57, 76, 93], "re": [0, 29, 32, 42, 55, 70, 77, 85], "reach": 1, "read": 27, "readabl": 25, "readi": 11, "recommend": 0, "rectangl": 0, "recurs": [0, 19, 21, 81, 82], "recursively_mirror_rev_cluster_indic": [0, 1, 24, 76], "recus": 79, "red": [0, 31], "refer": [0, 28, 100], "refin": 0, "reflect": [13, 20], "reg": [1, 60, 70, 71, 72, 76, 77, 93, 96, 100], "reg_affine_initi": [0, 66], "reg_check": [1, 67, 71, 76], "reg_check_brain_mask": [0, 1, 71, 76], "reg_input": [0, 53, 67, 70, 72, 73, 97], "reg_output": [0, 66, 67, 97, 98, 100], "reg_outputs_path": [66, 97, 100], "reg_prep": [1, 32, 36, 42, 60, 67, 71, 72, 76], "reg_r": [70, 98], "reg_result": 0, "regard": 60, "region": [1, 3, 13, 16, 22, 23, 29, 48, 60, 61, 62, 63, 64], "region_abbr": 64, "region_id": [0, 60, 62, 63, 64], "region_intens": 63, "region_nam": 64, "region_stat": [0, 1, 76], "regional_cell_dens": 0, "regional_cell_densities_summari": 0, "regional_counts_df": 60, "regional_stat": 60, "regional_volumes_df": 60, "regist": [0, 1, 76, 77], "registr": [1, 29, 32, 36, 42, 68, 70, 71, 72, 76, 96, 100], "reinstal": [0, 77], "rel": [0, 2, 5, 9, 13, 28, 36, 70, 93, 96], "rel_path": [0, 36, 60], "rel_path_to_src_fil": 78, "relabel": 0, "relabel_nii": [47, 57, 76], "relat": 0, "related": 77, "relative_hedges_g": [9, 10, 24], "releas": 2, "relev": 4, "reli": [25, 26], "reload": 77, "remain": [0, 31], "remot": 0, "remov": [0, 14, 54, 63, 84], "remove_zero_intensity_region": [63, 65, 76], "renam": [0, 1, 65, 76, 77, 81, 83], "rename_dir": 81, "rename_fil": [76, 81, 82, 83], "rename_item": [76, 81, 83], "rename_typ": 82, "render": 31, "reopen": 0, "reorder": [65, 76], "reorient": [0, 29, 41, 70], "reorient_for_raw_to_nii_conv": [29, 30, 76], "reorient_ndarrai": [29, 30, 76], "reorient_ndarray2": [29, 30, 76], "reorient_nii": [1, 43, 76], "replac": [0, 11, 76, 80, 82, 91], "repo": [0, 1, 2, 77], "repo_root_dir": 0, "repositori": [0, 1, 2], "repres": [23, 31, 76, 91], "request": 28, "requir": 56, "rerun": 4, "resampl": [0, 1, 29, 30, 57, 67, 70, 76], "resolut": [0, 15, 22, 28, 29, 32, 42, 56, 62, 70, 75, 76, 97, 98], "resolv": [28, 31, 77], "resolve_path": [28, 30, 76], "respect": [0, 4], "restart": 2, "restrict": 85, "result": [0, 4, 5, 14, 20, 60, 64, 88], "retain": 28, "retriev": 63, "return": [5, 7, 8, 9, 11, 20, 22, 23, 27, 28, 29, 31, 32, 35, 38, 41, 42, 45, 48, 54, 56, 59, 62, 64, 67, 70, 85, 98], "return_3d_img": [28, 30, 76], "return_metadata": 28, "return_r": [28, 32, 42], "rev_cluster_index": [0, 15, 17, 20, 22], "rev_cluster_index_img": 11, "rev_cluster_index_to_warp_from_atlas_spac": [0, 5], "rev_cluster_index_valid_clust": 15, "revers": [0, 11], "reverse_clust": [11, 24, 76], "reverse_reorient_for_raw_to_nii_conv": [29, 30, 76], "review": [0, 2], "rf": 4, "rgb": [16, 22], "rgba": 3, "rh": [0, 19, 20], "rh_file": 86, "rh_mask": 95, "rhz": 95, "rich": [26, 31], "rich_argpars": 26, "richhelpformatt": 26, "right": [0, 14, 41, 51, 67], "rijsket": 1, "rlapsi": 29, "rm": 4, "ro": [97, 100], "roll": [0, 29, 45, 54], "rolling_ball_subtract": [54, 57, 76], "rolling_ball_subtraction_opencv_parallel": [29, 30, 76], "root": [0, 4], "roughli": [0, 77], "row": [0, 7, 8, 9, 20, 23, 41, 81], "rp": 0, "rstat": [1, 65, 76], "rstats_if_mean": 63, "rstats_if_mean_in_seg": 63, "rstats_mean_if": [0, 1, 65, 76], "rstats_mean_if_in_seg": [0, 62], "rstats_mean_if_in_segmented_voxel": [1, 65, 76], "rstats_mean_if_summari": [0, 1, 61, 62, 65, 76], "rstats_summari": [1, 60, 65, 76], "run": [2, 11, 14, 19, 23, 24, 36, 58, 62, 66, 70, 72, 74, 76, 77, 80, 92, 93, 94, 95, 97], "run_ilastik": 2, "run_randomise_parallel": [76, 91, 92], "run_script": [4, 24, 76], "run_with_timeout": [66, 71, 76], "ryskamp": 1, "sa": 3, "salin": [0, 7, 8, 9, 20, 60, 64, 84], "saline_sample06": [0, 64], "saline_sample07": [0, 64], "same": [23, 56, 77], "sampl": [1, 5, 7, 8, 9, 17, 18, 20, 31, 36, 60, 62, 68, 69, 70, 73, 74, 76, 80, 83, 85, 93, 95, 96], "sample01": [4, 81, 84], "sample01_cfos_correlation_map": 89, "sample01_fil": 81, "sample01_slice_0000": 0, "sample01_slice_0005": 0, "sample01_slice_0050": 0, "sample02": [4, 81, 84], "sample02_fil": 81, "sample03": 0, "sample04": 0, "sample04_slice_0050": 0, "sample14": [0, 60], "sample36": [0, 60], "sample_dir_list": 31, "sample_dir_pattern": 31, "sample_kei": [1, 4, 63, 81, 84], "sample_nam": 18, "sample_path": [17, 31, 60, 73, 78, 96, 98], "save": [0, 5, 6, 11, 18, 19, 28, 32, 33, 34, 36, 42, 45, 50, 51, 53, 54, 55, 56, 65, 67, 72, 76, 87, 100], "save_as_h5": [28, 30, 76], "save_as_nii": [28, 30, 43, 44, 76], "save_as_tif": [28, 30, 32, 42, 43, 76], "save_as_zarr": [28, 30, 40, 43, 76], "save_cropped_img": [6, 24, 76], "save_labels_as_mask": [74, 75, 76], "save_metadata": 28, "save_metadata_to_fil": [28, 30, 76], "save_tif": [45, 54, 57, 76], "scale": [0, 43, 44, 76, 85, 97, 98], "scale_bool_to_full_r": [76, 85, 91], "scale_mod": 35, "scale_to_full_r": [76, 98, 99], "scanner": 41, "scienc": 1, "scipi": [1, 29, 70], "score": [0, 13, 43, 76, 85, 89, 91, 94], "script": [1, 2, 4, 20, 25, 26, 27, 31, 77, 97], "script_arg": 4, "script_nam": 4, "scroll": 0, "sd": 88, "se": [7, 8, 9], "search": [1, 29, 31, 82], "second": [4, 11, 18, 20, 41, 45, 85], "section": [0, 27, 77], "see": [0, 74, 92], "seed": 92, "seg_brain_mask": [1, 67, 70, 72, 75, 76, 95], "seg_copy_tif": [1, 67, 70, 73, 74], "seg_crop": 5, "seg_dir": [0, 5, 62], "seg_ilastik": [1, 60, 62, 74, 75, 76], "seg_img": 60, "seg_in_clust": 5, "seg_mask": 85, "seg_volume_in_cubic_mm": 5, "segment": [1, 5, 29, 62, 76, 91], "segmentation_dir": 74, "segmentation_imag": [0, 60], "select": [0, 7, 8, 9, 20, 31, 73, 82], "selector": [7, 8, 9, 20], "send": 2, "sensit": 0, "separ": [0, 4, 29, 31, 59, 92], "seper": 66, "seri": [0, 7, 8, 9, 20, 28, 29, 32, 34, 36, 39, 42, 50, 56, 70, 72, 80], "server": 0, "session": 0, "set": [1, 25, 26, 27, 31, 41, 92], "setup": 0, "sex": [0, 8, 9], "sform": 41, "sh": [2, 4], "shamloo": 1, "shape": 38, "share": [0, 23], "sheet": 0, "shell": [1, 2, 77], "shift": [0, 86, 87, 94], "should": [0, 4, 7, 8, 9, 20, 23, 31, 36, 45, 54, 81, 84, 92], "show": [0, 2, 31, 77], "show_plot": 63, "shrink": 67, "shrink_factor": 67, "side": [0, 19, 20, 29, 41, 51, 63, 64, 67, 76, 91], "sigma1": 45, "sigma2": 45, "sign": 35, "signal": [0, 1, 76, 91], "signifi": 0, "signific": [0, 13, 20, 22, 45], "simga2": 45, "similar": 0, "sinc": [0, 20, 41], "singl": [0, 25, 26, 45, 48, 54, 56], "situat": 77, "size": [1, 7, 8, 9, 22, 28, 29, 36, 38, 45, 54, 56, 57, 70, 76], "sk": [0, 4, 63, 81], "slice": [0, 29, 31, 56, 73, 74], "slice_": [32, 42, 72], "slice_numb": 73, "slicer": 0, "slow": 85, "slowli": 0, "sm": [0, 25, 26, 30, 67, 76], "small": [0, 7, 8, 9], "smaller": [0, 45, 48, 54], "smallest": 48, "smart_float_format": [12, 24, 76], "smooth": [0, 86, 94], "so": [2, 11, 41], "some": 54, "sort": [24, 48, 76], "sort_sampl": [18, 24, 76], "sort_sunburst_hierarchi": [23, 24, 76], "sourc": [2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 66, 67, 68, 69, 70, 72, 73, 74, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "source_dir": [31, 73], "source_img": 96, "space": [0, 1, 5, 29, 59, 61, 65, 76, 80, 91, 93, 96, 97, 98, 99], "sparser": 0, "spatial": [0, 28, 41, 45, 56, 85], "spatial_averag": [0, 1, 57, 76], "spatial_average_2d": [56, 57, 76], "spatial_average_3d": [56, 57, 76], "spatial_avg": 56, "specif": [0, 2, 26, 29, 31, 76, 91], "specifi": [0, 5, 7, 8, 9, 20, 23, 25, 26, 27, 29, 31, 34, 35, 36, 56, 73, 81, 82, 85, 87, 92], "speed": [0, 31], "split": [3, 11], "split_clusters_based_on_effect": [11, 24, 76], "spool": [7, 8, 9], "spot": 1, "spread": 0, "squar": 0, "src": 17, "src_dir": 79, "ssd": 0, "stack": 1, "stain": [1, 61, 62], "standard": [35, 45, 95], "stanford": [1, 2], "start": [0, 7, 8, 9, 16, 20, 23, 31], "startup": 2, "stat": [1, 4, 11, 12, 24, 76, 92, 94, 95], "static": 27, "statist": [0, 64], "stats_df": 20, "stats_info_g1_v_g2": 11, "stats_tabl": [1, 24, 76], "stderr": 66, "step": [1, 23, 60, 62, 67, 70, 77, 92, 93, 94, 95], "stick": 0, "stitch": 1, "storag": 0, "store": 2, "str": [7, 8, 9, 11, 20, 26, 28, 29, 31, 41, 67, 80, 100], "string": [25, 26, 29, 31, 92], "strip": [12, 27], "struct_el": 29, "structur": [1, 14], "studio": [0, 22], "style": [26, 27], "subclass": 27, "subdir": [0, 20, 31, 80], "subdirectori": [74, 80], "subfold": 0, "subject": 0, "subpackag": 1, "subprocess": [4, 66], "subset": [0, 28, 73], "subsystem": 1, "subtract": [29, 45, 54, 93], "succinctli": 0, "sudo": 2, "suffix": 77, "suggest": [0, 1], "sum": 23, "summar": [0, 16, 21, 23, 60, 64], "summari": [0, 64], "summarize_signific": [64, 65, 76], "summary_df": 64, "sunburst": [0, 1, 4, 15, 24, 76], "sunburst_csv_path": 23, "sunburst_rgb": 22, "superior": [0, 41, 67], "supplement": 7, "support": [0, 54], "suppress": [25, 26, 66], "suppressmetavar": [25, 26, 30, 76], "surfac": 48, "symbol": 0, "system": [2, 4, 77, 92], "t": [0, 4, 7, 8, 9, 24, 28, 32, 41, 42, 64, 65, 66, 74, 76, 80, 82, 84, 92], "tab": [0, 22], "tabl": [0, 1, 24, 63, 76], "table_column": 31, "tag": 1, "tail": [0, 89], "tar": 2, "target": [0, 17, 31, 35, 41, 68, 69, 73, 78], "target_dir": [14, 17, 31, 73, 78], "target_ort": 41, "target_output_dir": [68, 69], "target_r": [55, 98], "target_rang": 35, "task": 31, "task_id": 31, "task_messag": 31, "td": [0, 17, 68, 69], "templat": [0, 2, 71, 76], "template1": 67, "template2": 67, "tensoranalyt": 1, "terastitch": 0, "termin": [0, 2, 26], "test": [0, 4, 24, 45, 64, 65, 76, 92], "test_df": 64, "test_pool": 4, "test_result": 4, "test_typ": 63, "text": [25, 26, 28, 31, 32, 42, 82], "than": [0, 45, 59], "thei": [0, 2, 20, 23, 28], "them": [0, 2, 22, 23, 25, 26, 27, 29, 31, 82], "thi": [0, 2, 4, 7, 8, 9, 13, 14, 19, 20, 23, 25, 26, 27, 28, 29, 31, 32, 36, 45, 62, 64, 66, 70, 77, 81, 85, 86, 94, 97, 100], "thin": [0, 48], "thing": 0, "third": 41, "those": [7, 8, 9, 20], "though": 4, "thread": [29, 56], "three": 38, "threshold": [0, 11, 17], "through": 20, "tif": [1, 28, 29, 31, 32, 34, 36, 39, 42, 45, 50, 51, 54, 56, 70, 72, 73, 80, 93, 96], "tif_dir": [0, 29, 34, 36, 56, 74], "tif_dir_out": [28, 32, 42], "tif_folder_nam": 80, "tif_path": [28, 42, 45, 54], "tif_to_tif": [1, 43, 76], "tiff": [0, 54], "tifs_path": 36, "tile": 0, "time": [4, 31, 45, 54, 66], "timeelapsedcolumn": 31, "timeout": 66, "timeremainingcolumn": 31, "timeseri": 0, "tissu": [0, 5, 29, 71, 72, 76, 91, 97, 98, 99], "tissue_in_atlas_spac": 100, "tissue_mask": 85, "tk": 2, "tl": 1, "to_atla": [1, 76, 99], "to_fix": [1, 76, 99], "to_n": [1, 76, 97, 99], "togeth": [0, 87, 95], "toggl": [0, 76, 83], "toggle_sampl": [1, 76, 83], "toml": [0, 77], "too": 2, "tool": [0, 1, 2], "top": [23, 51], "top_n": 23, "top_region": 23, "total": [0, 23, 31, 92], "total_permutations_per_contrast": 92, "touch": 0, "tp": [0, 86, 94], "track": 0, "tract": 0, "trail": 12, "train": [1, 70, 72, 73, 74], "trained_ilastik_project": 0, "transform": [41, 89, 100], "transform_nii_affin": [41, 43, 76], "transpar": 0, "transpos": [0, 58], "transpose_ax": [1, 57, 76], "transpose_img": [57, 58, 76], "treat": 20, "treatment": [0, 4, 63, 81, 84], "treatment_sample02_fil": 81, "treatment_sample03_cell_density_data": 0, "treatment_sample03_rb4_atlas_space_z": 0, "treatment_sample04_cell_density_data": 0, "treatment_sample04_rb4_atlas_space_z": 0, "treatment_sample04_regional_cell_dens": 0, "triangl": 0, "true": [28, 31, 32, 41, 42, 82, 100], "tstat1": 0, "tstat2": 0, "ttest": 63, "ttest_result": 13, "tukei": [24, 65, 76], "tukey_result": 13, "tupl": [25, 26, 28, 32, 35, 42, 48, 56], "turn": 0, "tutori": [0, 2], "two": [7, 8, 9, 20, 63, 81, 89, 92], "txt": [3, 5, 6, 11, 23, 28, 31, 36, 50, 79, 98], "type": [0, 7, 8, 9, 11, 15, 17, 20, 22, 28, 29, 31, 34, 35, 38, 41, 48, 54, 56, 59, 60, 62, 64, 70, 82, 85, 96, 100], "typic": 1, "ubuntu": 2, "uint16": [35, 46, 48, 96], "uint32": 35, "uint64": 35, "uint8": [35, 48, 96], "um": [19, 32, 42, 70, 72, 87], "um_brain_mask": [0, 72], "um_mask": [0, 72], "um_masked_fixed_reg_input": [0, 68], "um_tif": [0, 70, 72], "um_tifs_ilastik_brain_seg": 72, "unbias": [7, 8, 9], "uncorrect": 0, "undefin": 0, "under": 0, "underscor": 80, "undo_fill_with_origin": [23, 24, 76], "unfamiliar": [0, 2], "unilater": [0, 11, 18, 20], "uniq_intens": [57, 59, 76], "uniqu": [0, 7, 8, 9, 20, 29, 48, 57, 76, 77], "unique_condit": [7, 8, 9, 20], "unique_intens": [1, 48, 57, 76], "unnecessari": 12, "unpad": [0, 100], "unpair": [20, 92], "unravel": 0, "unravel_command": [0, 1, 2, 76], "unravel_env": [2, 77], "unravel_reg": 77, "unsign": 35, "until": 23, "up": [1, 12, 23, 63, 80, 92], "updat": [0, 1], "upenn": 1, "upgrad": 2, "upper": 0, "upstream_path": 28, "us": [0, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 67, 68, 69, 70, 72, 73, 74, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "usag": [0, 1, 8, 10, 24, 25, 26, 27, 31, 43, 47, 51, 57, 65, 71, 75, 76, 83, 90, 91, 99], "user": [0, 1, 2], "usernam": [2, 27], "usr": [2, 66, 77], "util": [0, 1, 2, 30, 76], "utils_agg_fil": [1, 62, 63, 78, 93, 95], "utils_agg_files_rec": [0, 79], "utils_clean_tif": 80, "utils_prepend": [1, 4, 63, 81], "utils_renam": [0, 81, 82], "utils_toggl": [0, 84], "v": [0, 2, 3, 4, 5, 6, 11, 17, 19, 22, 51, 56, 70, 72, 78, 80, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 100], "valid": [4, 7, 8, 9, 11, 15, 17, 20, 21, 22], "valid_clust": [15, 23], "valid_clusters_sunburst": 4, "valid_clusters_t_test": [20, 24, 76], "valid_clusters_tables_and_legend": 4, "validation_dir": 17, "validation_dir_pattern": 17, "valu": [0, 11, 12, 13, 16, 17, 20, 22, 23, 25, 26, 27, 35, 41, 48, 52, 59, 64, 88, 89], "valud": 41, "variabl": 1, "variou": 28, "vd": [0, 4, 17], "ventricl": 0, "venv": 2, "verbos": [23, 27, 31, 67, 73, 78, 80, 92], "verbose_end_msg": [30, 31, 76], "verbose_start_msg": [30, 31, 76], "verifi": 77, "version": [0, 3, 45, 85, 94], "via": [1, 2, 89], "video": [0, 1], "view": [0, 2], "virtual": 2, "virtualenv": 2, "visit": 2, "visual": 0, "vizual": 3, "volum": [0, 5, 22, 24, 56, 60, 76], "volume_summari": 46, "volumes_dict": 22, "vox_p": 0, "vox_p_": [11, 12], "vox_p_fstat1": [0, 11], "vox_p_fstat2": 0, "vox_p_fstat3": 0, "vox_p_tstat1": [0, 11, 12], "vox_p_tstat2": 0, "voxel": [1, 5, 22, 29, 36, 38, 51, 56, 57, 62, 70, 76, 87, 88, 91, 92, 94, 95], "voxel_stat": [0, 1, 76], "voxl": 0, "vstat": [1, 11, 12, 17, 76, 91, 93, 94, 95], "vstats_apply_mask": [0, 85], "vstats_dir": [0, 4, 17], "vstats_hemi_to_avg": [0, 86, 95], "vstats_mirror": [0, 87], "vstats_path": 17, "vstats_prep": [1, 45, 67, 70, 76, 91, 92, 94, 95], "vstats_whole_to_avg": [1, 92, 94, 95], "vstats_z_scor": [1, 72, 92, 94, 95], "w": [0, 3, 5, 7, 8, 9, 16, 20, 22, 57, 64, 65, 66, 70, 72, 76, 80, 91], "wa": [0, 1, 13], "wai": 77, "want": [0, 2, 4, 45], "warp": [0, 1, 5, 29, 76, 91, 93], "warp_to_atla": [0, 96, 100], "warp_to_fix": [0, 97, 100], "warp_to_n": [0, 65, 76, 98], "warped_img": 97, "we": [0, 1, 2, 23], "web": 1, "websit": 2, "well": 36, "were": [0, 1], "weslei": 1, "weszhao": 1, "wget": 2, "what": 82, "whatev": 0, "wheel": 0, "when": [4, 43, 76, 77, 83, 87], "where": [0, 2, 7, 8, 9, 13, 20, 23, 31, 48, 73, 76, 77, 91, 100], "whether": [20, 28, 82], "which": [31, 77], "whole": [11, 95], "whole_to_lr_avg": [0, 1, 76, 91], "whose": [7, 8, 9, 20], "wide": 1, "width": [25, 26], "window": [0, 1], "wirefram": [0, 47, 57, 76], "wireframe_imag": 48, "wireframe_image_id": 48, "wise": [1, 92, 94, 95], "within": [0, 23, 29, 31, 63], "without": 82, "withs": 63, "word": [0, 18, 20, 63], "work": [0, 2, 4, 16, 18, 20, 23, 26, 63, 68, 69], "workflow": [1, 77], "worksheet": 16, "write": [29, 61, 62], "write_to_csv": [61, 62, 65, 76], "wsl": 1, "x": [1, 6, 23, 28, 29, 36, 41, 51, 60, 67, 70, 85, 89, 93, 96, 98], "x_dim": 28, "xjf": 2, "xlsx": [4, 16], "xmax": [5, 28, 29], "xmin": [5, 28, 29], "xy": [0, 6, 28, 55, 56, 93], "xy_r": [5, 6, 28, 29, 32, 42, 55, 60, 70, 98], "xy_voxel_s": [32, 42], "xyz": [28, 32, 42, 67], "xyz_res_in_um": 15, "xz": 2, "y": [1, 2, 28, 29, 36, 41, 60, 67, 70, 85, 98], "y_dim": 28, "yeild": [0, 12], "yellow": 0, "yield": 0, "ymax": [5, 28, 29], "ymin": [5, 28, 29], "you": [0, 1, 4, 45, 77], "your": [0, 1, 2, 31, 77], "z": [1, 6, 13, 28, 29, 36, 41, 43, 55, 56, 60, 67, 70, 76, 85, 89, 91, 93, 94, 96, 98], "z_dim": 28, "z_map": 89, "z_re": [5, 6, 28, 29, 32, 42, 55, 60, 70, 98], "z_score": [0, 1, 76, 91], "z_to_p": [89, 90, 91], "z_voxel_s": [32, 42], "zarr": [0, 28, 34, 40, 44, 56, 85, 93, 96, 98], "zarr_path": 28, "zarr_to_ndarrai": [43, 44, 76], "zarr_to_nii": [1, 43, 76], "zeiss": 0, "zen": 0, "zero": [0, 12, 41, 56, 57, 76, 91], "zero_origin": 41, "zetastitch": 0, "zhao": 1, "zlib1g": 2, "zmax": [5, 28, 29], "zmin": [5, 28, 29], "zo": 55, "zoom": [0, 29, 70], "zoom_ord": [29, 55, 70, 98], "zscore": 35, "zscore_rang": 35, "zshrc": [0, 1, 77], "zyx": [32, 42], "\u00b5m": 0}, "titles": ["Guide", "UN-biased high-Resolution Analysis and Validation of Ensembles using Light sheet images", "Installation", "unravel.cluster_stats.brain_model module", "unravel.cluster_stats.cluster_summary module", "unravel.cluster_stats.cluster_validation module", "unravel.cluster_stats.crop module", "unravel.cluster_stats.effect_sizes.effect_sizes module", "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute module", "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative module", "unravel.cluster_stats.effect_sizes package", "unravel.cluster_stats.fdr module", "unravel.cluster_stats.fdr_range module", "unravel.cluster_stats.find_incongruent_clusters module", "unravel.cluster_stats.group_bilateral_data module", "unravel.cluster_stats.index module", "unravel.cluster_stats.legend module", "unravel.cluster_stats.org_data module", "unravel.cluster_stats.prism module", "unravel.cluster_stats.recursively_mirror_rev_cluster_indices module", "unravel.cluster_stats.stats module", "unravel.cluster_stats.stats_table module", "unravel.cluster_stats.sunburst module", "unravel.cluster_stats.table module", "unravel.cluster_stats package", "unravel.core.argparse_utils module", "unravel.core.argparse_utils_rich module", "unravel.core.config module", "unravel.core.img_io module", "unravel.core.img_tools module", "unravel.core package", "unravel.core.utils module", "unravel.image_io.h5_to_tifs module", "unravel.image_io.img_to_npy module", "unravel.image_io.io_img module", "unravel.image_io.io_nii module", "unravel.image_io.metadata module", "unravel.image_io.nii_hd module", "unravel.image_io.nii_info module", "unravel.image_io.nii_to_tifs module", "unravel.image_io.nii_to_zarr module", "unravel.image_io.reorient_nii module", "unravel.image_io.tif_to_tifs module", "unravel.image_io package", "unravel.image_io.zarr_to_nii module", "unravel.image_tools.DoG module", "unravel.image_tools.atlas.relabel_nii module", "unravel.image_tools.atlas package", "unravel.image_tools.atlas.wireframe module", "unravel.image_tools.avg module", "unravel.image_tools.bbox module", "unravel.image_tools.extend module", "unravel.image_tools.max module", "unravel.image_tools.pad module", "unravel.image_tools.rb module", "unravel.image_tools.resample module", "unravel.image_tools.spatial_averaging module", "unravel.image_tools package", "unravel.image_tools.transpose_axes module", "unravel.image_tools.unique_intensities module", "unravel.region_stats.rstats module", "unravel.region_stats.rstats_mean_IF module", "unravel.region_stats.rstats_mean_IF_in_segmented_voxels module", "unravel.region_stats.rstats_mean_IF_summary module", "unravel.region_stats.rstats_summary module", "unravel.region_stats package", "unravel.register.affine_initializer module", "unravel.register.reg module", "unravel.register.reg_check module", "unravel.register.reg_check_brain_mask module", "unravel.register.reg_prep module", "unravel.register package", "unravel.segment.brain_mask module", "unravel.segment.copy_tifs module", "unravel.segment.ilastik_pixel_classification module", "unravel.segment package", "unravel package", "unravel.unravel_commands module", "unravel.utilities.aggregate_files_from_sample_dirs module", "unravel.utilities.aggregate_files_recursively module", "unravel.utilities.clean_tif_dirs module", "unravel.utilities.prepend_conditions module", "unravel.utilities.rename module", "unravel.utilities package", "unravel.utilities.toggle_samples module", "unravel.voxel_stats.apply_mask module", "unravel.voxel_stats.hemi_to_LR_avg module", "unravel.voxel_stats.mirror module", "unravel.voxel_stats.other.IF_outliers module", "unravel.voxel_stats.other.r_to_p module", "unravel.voxel_stats.other package", "unravel.voxel_stats package", "unravel.voxel_stats.vstats module", "unravel.voxel_stats.vstats_prep module", "unravel.voxel_stats.whole_to_LR_avg module", "unravel.voxel_stats.z_score module", "unravel.warp.to_atlas module", "unravel.warp.to_fixed module", "unravel.warp.to_native module", "unravel.warp package", "unravel.warp.warp module"], "titleterms": {"": [20, 63], "0": 85, "1": 85, "100": 59, "3": 0, "8": 35, "If": 0, "across": 0, "activ": 84, "add": 0, "addit": [1, 92], "affine_initi": 66, "after": [0, 4], "aggregate_files_from_sample_dir": 78, "aggregate_files_recurs": 79, "all": [0, 59, 77, 84], "allen": 0, "alreadi": [60, 78], "an": [0, 95], "analysi": [0, 1, 2], "apply_mask": 85, "ar": 2, "argparse_util": 25, "argparse_utils_rich": 26, "artifact": 85, "atla": [0, 46, 47, 48, 60, 63, 67, 95, 100], "automat": 0, "avail": 60, "avg": 49, "back": 0, "background": 0, "bashrc": 2, "batch": 0, "bbox": 50, "being": 78, "between": 2, "bias": 1, "bit": 35, "both": 95, "brain": [0, 85], "brain_mask": 72, "brain_model": 3, "can": 0, "certain": 84, "chang": 2, "check": 2, "clean": 0, "clean_tif_dir": 80, "cli": 98, "cluster": [0, 59, 85], "cluster_fdr": 0, "cluster_fdr_rang": 0, "cluster_mirror_indic": 0, "cluster_org_data": 4, "cluster_stat": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24], "cluster_summari": [0, 4], "cluster_valid": [0, 4, 5], "code": 0, "color": 0, "command": [0, 77], "common": [0, 77], "condit": [63, 84], "config": 27, "contact": 1, "content": [1, 76], "contribut": 1, "copi": 78, "copy_tif": 73, "core": [25, 26, 27, 28, 29, 30, 31], "correct": 0, "crop": 6, "csv": 0, "custom": 63, "data": 0, "defin": 0, "depend": [1, 2], "descript": 77, "develop": 1, "dir": [0, 84], "directli": 4, "directori": 82, "distribut": 0, "dog": 45, "dr": 2, "drive": 0, "e": 85, "each": 59, "edit": 2, "effect_s": [7, 8, 9, 10], "effect_sizes_by_sex__absolut": 8, "effect_sizes_by_sex__rel": 9, "ensembl": 1, "env_var": 0, "etc": 0, "exampl": 0, "exclud": 85, "exp": 0, "exp_not": 0, "experi": 0, "extend": 51, "extract": 36, "faster": 60, "fdr": 11, "fdr_rang": 12, "file": [78, 82], "find_incongruent_clust": 13, "folder": 0, "forward": 100, "from": [1, 60, 85], "full": 73, "function": 28, "g": 85, "get": [1, 2], "group_bilateral_data": 14, "guid": 0, "h5_to_tif": 32, "help": 0, "helper": 28, "hemi_to_lr_avg": 86, "hierarchi": 23, "high": 1, "i": [1, 35, 36, 59, 60, 78], "if_outli": 88, "ilastik": 0, "ilastik_pixel_classif": 74, "imag": [0, 1, 73, 85], "image_io": [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44], "image_tool": [45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "img_avg": 0, "img_io": 28, "img_to_npi": 33, "img_tool": 29, "immunofluoresc": 73, "index": 15, "indic": 1, "info": 0, "instal": 2, "intens": [59, 85], "invers": 100, "io_img": 34, "io_nii": 35, "legend": 16, "letter": 0, "light": 1, "like": 0, "linux": 2, "list": 0, "log": 0, "main": [1, 28], "make": 0, "mask": [85, 95], "max": 52, "mean": 85, "metadata": 36, "microglia": 85, "min": 59, "mirror": 87, "modul": [3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 66, 67, 68, 69, 70, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "more": 0, "multipl": 0, "name": [0, 77, 78], "nativ": 60, "need": 35, "nii_hd": 37, "nii_info": 38, "nii_to_tif": 39, "nii_to_zarr": 40, "non": 59, "note": [0, 2], "number": 59, "open": 0, "option": [0, 2, 92], "org_data": 17, "orient": 0, "other": [88, 89, 90], "out": 85, "overview": 0, "packag": [10, 24, 30, 43, 47, 57, 65, 71, 75, 76, 83, 90, 91, 99], "pad": 53, "path": 0, "pleas": 2, "prep": 73, "prepend": 78, "prepend_condit": 81, "present": 59, "preserv": 85, "print": [59, 77], "prism": 18, "project": 0, "python": [66, 98], "r_to_p": 89, "raw": 0, "rb": 54, "recursively_mirror_rev_cluster_indic": 19, "reg": [0, 67], "reg_check": [0, 68], "reg_check_brain_mask": 69, "reg_prep": [0, 70], "region": 0, "region_stat": [60, 61, 62, 63, 64, 65], "regist": [66, 67, 68, 69, 70, 71], "registr": [0, 67], "relabel_nii": 46, "renam": [63, 82], "reorder": 63, "reorient_nii": 41, "replac": 85, "repres": 85, "reproduc": 2, "resampl": 55, "resolut": [1, 73], "rstat": [0, 60], "rstats_mean_if": 61, "rstats_mean_if_in_segmented_voxel": 62, "rstats_mean_if_summari": 63, "rstats_summari": [0, 64], "run": [0, 4], "sampl": [0, 78, 84], "sample01": 0, "sample02": 0, "sample_kei": 0, "save": 60, "scale": 35, "score": [35, 95], "script": 0, "seg_brain_mask": [0, 73], "seg_copy_tif": 0, "seg_ilastik": [0, 73], "segment": [0, 72, 73, 74, 75, 85], "set": [0, 2], "sh": 0, "sheet": 1, "shell": 0, "side": 95, "signal": 85, "size": [0, 59], "sort": 23, "sourc": 0, "space": [60, 95, 100], "spatial_averag": 56, "specif": 95, "stack": 0, "start": [1, 2], "stat": [0, 20], "stats_tabl": 21, "step": 0, "stitch": 0, "structur": 0, "subpackag": 76, "subsystem": 2, "subtract": 0, "sunburst": 22, "support": 1, "syntax": 0, "t": [20, 63], "tabl": 23, "templat": 67, "test": [20, 63], "tif": 0, "tif_to_tif": 42, "tissu": [67, 95, 100], "tl": 2, "to_atla": 96, "to_fix": 97, "to_n": 98, "todo": [0, 2], "toggl": 84, "toggle_sampl": 84, "train": 0, "transpose_ax": 58, "tukei": [20, 63], "txt": 0, "typic": 0, "u": 1, "un": 1, "uniqu": 59, "unique_intens": 59, "unravel": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100], "unravel_command": 77, "up": [0, 2], "updat": 2, "us": [1, 2], "usag": [3, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 48, 49, 50, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 66, 67, 68, 69, 70, 72, 73, 74, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100], "util": [31, 78, 79, 80, 81, 82, 83, 84], "utils_agg_fil": 0, "utils_clean_tif": 0, "utils_prepend": 0, "valid": [0, 1], "vari": 0, "variabl": 0, "version": 2, "visual": 1, "volum": 23, "voxel": [0, 59, 85], "voxel_stat": [85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95], "vstat": [0, 92], "vstats_prep": [0, 93], "vstats_whole_to_avg": 0, "vstats_z_scor": 0, "w": [59, 63, 92, 95], "warp": [95, 96, 97, 98, 99, 100], "warp_to_n": 60, "welcom": 1, "when": [36, 78], "where": 85, "whole_to_lr_avg": 94, "window": 2, "wirefram": 48, "wise": 0, "workflow": 0, "wsl": 2, "x": 0, "y": 0, "you": 2, "z": [0, 35, 95], "z_score": 95, "zarr_to_nii": 44, "zero": [59, 85], "zshrc": 2}}) \ No newline at end of file diff --git a/unravel/docs/_build/html/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.html b/unravel/docs/_build/html/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.html index 0939b54a..4bfdc9bd 100644 --- a/unravel/docs/_build/html/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.html +++ b/unravel/docs/_build/html/unravel/cluster_stats/recursively_mirror_rev_cluster_indices.html @@ -497,6 +497,13 @@

Usage#<

cluster_mirror_indices -m RH -v

Use this command after cluster_fdr to mirror the cluster indices for the other side of the brain before running cluster_validation.

+
+

Note

+
    +
  • Use -ax 2 and -s 0 for the CCFv3 2020 atlas.

  • +
  • Use -ax 0 and -s 2 for the 25 um Gubra atlas

  • +
+
diff --git a/unravel/docs/_build/html/unravel/register/reg_prep.html b/unravel/docs/_build/html/unravel/register/reg_prep.html index 85f442d5..870bcd65 100644 --- a/unravel/docs/_build/html/unravel/register/reg_prep.html +++ b/unravel/docs/_build/html/unravel/register/reg_prep.html @@ -494,7 +494,7 @@

Usage:#

-

reg_prep -i <asterisk>.czi [-e <list of paths to exp dirs>] [-v]

+

reg_prep -i <asterisk>.czi -x <x/y voxel size in microns> -z <z voxel size> [-e <list of paths to exp dirs>] [-v]

Run command from the experiment directory w/ sample?? folder(s), a sample?? folder, or provide -e or -d arguments.

diff --git a/unravel/docs/_build/html/unravel/voxel_stats/mirror.html b/unravel/docs/_build/html/unravel/voxel_stats/mirror.html index f56db7c9..c9d9bf8a 100644 --- a/unravel/docs/_build/html/unravel/voxel_stats/mirror.html +++ b/unravel/docs/_build/html/unravel/voxel_stats/mirror.html @@ -498,7 +498,10 @@

Usage:#

Note

-

The current defaults are specific to our version of the Gubra atlas and may need to be adjusted for other atlases.

+
    +
  • Use -ax 2 and -s 0 for the CCFv3 2020 atlas.

  • +
  • Use -ax 0 and -s 2 for the 25 um Gubra atlas

  • +
@@ -508,7 +511,7 @@

Usage:#
-unravel.voxel_stats.mirror.mirror(img, axis=0, shift=2)[source]#
+unravel.voxel_stats.mirror.mirror(img, axis=2, shift=0)[source]#

Mirror an image along the specified axis and shift the content by the specified number of voxels.

Parameters: