yuhui-zh15/CellFlux
Official implementation of "CellFlux: Simulating Cellular Morphology Changes via Flow Matching" (ICML 2025)
CellFlux helps computational biologists simulate how cell shapes change when exposed to different chemicals or genetic alterations. You input high-content screening images of unperturbed and perturbed cells, and it generates realistic images showing the specific morphological changes caused by these perturbations, even distinguishing them from lab artifacts. This tool is ideal for researchers in drug discovery, toxicology, and basic cell biology studying cellular responses.
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Use this if you need to accurately predict and visualize cellular morphology changes from chemical or genetic interventions, especially when dealing with batch effects in high-content screening data.
Not ideal if your primary goal is simple image classification or if you don't work with high-content microscopy data of cellular perturbations.
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26
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4
Language
Python
License
MIT
Category
Last pushed
Sep 03, 2025
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