Download SuperSegger

1. Check Software Requirements##

In order to use SuperSegger you need to have the MATLAB software with the following toolboxes: Image Processing Toolbox, Neural Network Toolbox, Curve fitting Toolbox, Statistics and Machine Learning Toolbox, Global Optimization Toolbox, Parallel Computing Toolbox (not necessary).

2. Download SuperSegger##

There are two options for downloading the code:

• Simple option: zipped archive Navigate to GitHub/Code Click the green button on the right 'Clone or Download' and then select 'Download Zip'.

• Advanced option: git clone The benefit of cloning from git instead of downloading the zip file is that you can easily obtain the new version of the code if there are improvements or bug fixes later on. In order to clone the git repository:

• Open a terminal window

• Navigate to the directory where you would like the code to reside

• Run the following command in terminal : git clone https://github.com/wiggins-lab/SuperSegger.git

• Every time you want to update the software you need to navigate to the SuperSegger directory and run the following command in terminal : git pull

3. Set the MATLAB Path##

In order for MATLAB to be able to find the different pieces of the code the SuperSegger folder needs to be in your path.

• In the Home tab, in the Environment section, click Set Path. The Set Path dialog box appears.
• Click Add with subfolders and add the SuperSegger folder.
• Click Save.

4. Optional : Read tutorials and download sample files##

You can download a sample time lapse file and some scripts showing the functionality of SuperSegger at our website