Jindou Shi

This paper introduces FPhaS, a framework for confidence-supported label-free metabolic imaging using phase autofluorescence microscopy, improving accuracy by integrating structural and metabolic data.

This paper demonstrates two-photon activation and modulation of melanopsin in live cells to study its tri-stability and function.

This paper introduces a supercontinuum fluorescence imaging technique that enables non-invasive, high-content analysis of living systems across multiple biological processes and species.

The paper introduces a weakly supervised deep learning framework to identify cancer-related optical signatures in normal-appearing breast tissue using SLAM imaging.