Physics-driven self-supervised learning for quantitative high-fidelity structured illumination microscopy
Y Tanye Tang, Zewei Luo, X F Zhu, Wenyi Wang, Xichuan Ge, Meiqi Li, Cong Chen, Tongsheng Chen, Ceshi Chen, Peng Xi, Gang Wen
This paper introduces qHiFi-SIM, a physics-driven self-supervised learning framework for quantitative high-fidelity structured illumination microscopy, achieving excellent intensity linearity and structural fidelity without ground-truth data.
bioRxiv · Oct 24, 2026 · PreprintCell Biology