Modularized and scalable whole slide image analysis
LazySlide is a Python package for whole-slide image (WSI) processing. It is designed to be fast and memory-efficient, allowing users to work with large WSIs on modest hardware.
- Multimodel analysis
- Transcriptomics integration
scanpy-style API- CLI and Nextflow support
With few lines of code, you can quickly run preprocessing and feature extraction with LazySlide:
import lazyslide as zs
wsi = zs.datasets.sample()
# Pipeline
zs.pp.find_tissues(wsi)
zs.pp.tile_tissues(wsi, tile_px=256, mpp=0.5)
zs.tl.feature_extraction(wsi, model='resnet50')
# Access the features
features = wsi['resnet50_tiles']