Ke Hu

Physics-informed single-frame end-to-end learning for denoising and background removal in fluorescence imaging.

Fluorescence microscopy is often limited by low signal-to-noise ratios arising from the finite number of detected photons and by an out-of-focus background that obscures structural details. Here, we introduce a physics-informed end-to-end learning framework that enables denoising and background suppression from a singl...