Article
Revealing invisible cell phenotypes with conditional generative modeling.
Nature communications - 11 Oct 2023
Lamiable Alexis, Champetier Tiphaine, Leonardi Francesco, Cohen Ethan, Sommer Peter, Hardy David, Argy Nicolas, Massougbodji Achille, Del Nery Elaine, Cottrell Gilles, Kwon Yong-Jun, Genovesio Auguste
Abstract excerpt
Biological sciences, drug discovery and medicine rely heavily on cell phenotype perturbation and microscope observation. However, most cellular phenotypic changes are subtle and thus hidden from us by natural cell variability: two cells in the same condition already look different. In this study, we show that conditional generative models can be used to transform an image of cells from any one condition to...
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