H&E Diabetes Slide Analysis Toolkit

This repo contains files with information on how to extract features to study insulitis in H&E slides.

The folder scripts contain the most recently developed scripts to analyze the images

The scripts have been developed using Groovy-Language

QuPath1 is the main tool for visualization and processing

Publication

Leveraging pre-trained machine learning models for islet quantification in type 1 diabetes

https://doi.org/10.1016/j.jpi.2024.100406

Note: This article is currently undergoing copyediting and typesetting before final publication.

Resource to learn QuPath

[a] https://www.imagescientist.com/qupath-intro

[b] https://qupath.readthedocs.io/en/stable/docs/tutorials/index.html

References

Footnotes

  1. https://qupath.github.io/