CELTIC is a model for cross-modality bioimage translation that incorporates biological-meaningful priors to improve the image-to-image translation architecture. CELTIC's generative capacity can be used to infer how intracellular organization changes under different experimental conditions!
Project led by Nitsan Elmalam.
Twitter summary: https://x.com/AssafZaritsky/status/1855965284219113917
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