Author

Xu Liu

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Open access Oct 2026

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...

Xin-Xiang You, Shu-Yue Xie, Chen-Gen Li et al. · Proceedings of the National... · 0 citations

Open access Aug 2026

Hybrid iterative ptychographic super-resolution microscopy

By utilizing an array detector to replace the single-element detector in confocal microscopy, Image Scanning Microscopy (ISM) overcomes the inherent trade-off between resolution and signal-to-noise ratio (SNR), thereby enhancing its ability to resolve sub-diffraction features. However, practical ISM performance often f...

Yu-Ran Huang, Hanchu Ye, Zitong Ye et al. · PhotoniX · 0 citations