Noble-Lab/CellCycleNet
Predicting cell cycle stage from 3D single-cell nuclear-stained images
This tool helps researchers in biology and medicine automatically identify the growth phase of individual cells from microscope images. You provide 3D images of cell nuclei stained with DAPI, and it outputs predictions classifying each cell as being in the G1 or S/G2 phase of the cell cycle. This is for biologists and biomedical researchers who need to profile cell cycle dynamics without complex experimental interventions.
No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly and accurately determine the cell cycle stage of fixed interphase cells using only fluorescent nuclear stains from your microscopy data.
Not ideal if your experimental setup does not involve 3D nuclear-stained images or if you need to identify more granular cell cycle sub-phases beyond G1 and S/G2.
Stars
10
Forks
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Language
Python
License
MIT
Category
Last pushed
Jun 02, 2025
Commits (30d)
0
Dependencies
9
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