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Open access Sep 2026

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...

Mu-Bo Zhang, Zi-Han Wang, Jun-Qiu Chen et al. · 0 citations
Preprint Aug 2026

Learning latent progression states from spatial heterogeneity in uterine histopathology

Tumor progression is accompanied by changes in architecture, morphology and microenvironmental organization, yet progression-associated heterogeneity is usually compressed into static diagnostic categories in histopathology. Here we present SpaTIE, a uterus-specific computational pathology framework that learns morphol...

Qi-Ming He, Yan Liu, Shuang Ge et al. · 0 citations

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