Cui-Xia Guo

Physics-informed self-supervised denoising for fluorescence microscopy via structure and intensity priors

Summary Fluorescence microscopy images contain smooth, low-intensity backgrounds dominated by random noise and brighter biological signals with complex textures. We incorporate these structural and intensity characteristics into self-supervised denoising through two complementary modules. Structure-adaptive probabilist...