oist/Usiigaci
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Usiigaci helps biologists automate the tedious task of tracking individual cell movements and morphological changes in stain-free phase contrast microscopy videos. It takes raw phase contrast microscopy images or videos as input and outputs precise cell outlines, tracking data, and various quantitative migration statistics and visualizations. This tool is for cell biologists or researchers who study cellular dynamics and need to analyze how cells respond to their environment.
204 stars. No commits in the last 6 months.
Use this if you need to accurately segment, track, and quantitatively analyze individual cell migration and morphology from phase contrast microscopy images.
Not ideal if your microscopy uses fluorescent imaging or if you are tracking non-cellular objects.
Stars
204
Forks
69
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 15, 2020
Commits (30d)
0
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