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eess.IV2024
PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images
Anis Bourou, Thomas Boyer, Kévin Daupin +4
For the past few years, deep generative models have increasingly been used in biological research for a variety of tasks. Recently, they have proven to be valuable for uncovering s…
eess.IV2024
Reconstructing Interpretable Features in Computational Super-Resolution microscopy via Regularized Latent Search
Marzieh Gheisari, Auguste Genovesio
Supervised deep learning approaches can artificially increase the resolution of microscopy images by learning a mapping between two image resolutions or modalities. However, such m…