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.

This paper introduces a flat-field structured illumination microscopy method to improve field uniformity and enable large-scale imaging of whole cells and pathological samples.