The Allen Cell Structure Segmenter is a Python-based open source toolkit developed at the Allen Institute for Cell Science for 3D segmentation of intracellular structures in fluorescence microscope images.

It consists of two complementary elements:

  1. Classic image segmentation workflows for 20 distinct intracellular structure localization patterns. A visual “lookup table” is outlining the modular algorithmic steps for each segmentation workflow. This provides an intuitive guide for selection or construction of new segmentation workflows for a user’s particular segmentation task. 
  2. Human-in-the-loop iterative deep learning segmentation workflow trained on ground truth manually curated data from the images segmented with the segmentation workflow. Importantly, this module was not released yet.


The Allen Cell Structure Segmenter Overview

LimeSeg: A coarsed-grained lipid membrane simulation for 3D image segmentation

Download instruction:

There is no download but you can easily install this plugin via ImageJ update site. If you reallu need to download the jar file, access the file in the update site repository (Link)

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