mattaq31/GelGenie
Open-Source package for segmentation and analysis of gel electrophoresis images using machine learning. Both a python framework for training/running models and a QuPath GUI extension are available.
This tool streamlines the analysis of gel electrophoresis images. It takes raw gel images and automatically identifies and measures bands, generating quantitative data and bar charts. Scientists and researchers working in molecular biology labs who regularly perform gel electrophoresis would benefit from this automation.
No commits in the last 6 months.
Use this if you need a quick, accurate, and automated way to segment gel electrophoresis images and extract band data without manual effort.
Not ideal if you primarily work with image types other than gel electrophoresis or require highly specialized, custom image analysis workflows outside of gel band detection.
Stars
87
Forks
21
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 13, 2025
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mattaq31/GelGenie"
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