I. CellOrganizer takes as input 2D-4D images of cells and creates generative models of many aspects of cell size, shape and internal organization. It also contains utilities for evaluating, comparing and otherwise using this models.
In addition to the Matlab version, CellOrganizer is also available as compiled executables in a Docker image with Jupyter Notebook support.
The full documentation for CellOrganizer is available at
https://cellorganizer.readthedocs.io/en/latest/
An extensive tutorial on the Docker/Jupyter version of CellOrganizer can be found at
https://docs.google.com/document/d/10LFLwMmpuQrN8880Sf0ndh7VYeWZDJ7E/
The release notes for v2.10 can be found at
https://docs.google.com/document/d/1D7AAdWc-_xvBu3YCtOfURevpjlCZrZrRAROhJhipCHQ/edit?usp=sharing
Additional information on CellOrganizer is available at
II. Using CellOrganizer from the Matlab command line
Enter "startup" at the Matlab command prompt to add the relevant paths. The main CellOrganizer commands are
img2slml
which trains a model from a set of images
and
slml2img
which synthesizes one or more images from a trained model.