Yujin Bao

This paper introduces MAPS, a deep-learning approach for automated segmentation of mitochondrial ultrastructure in 3D pan-ExM images, enabling high-throughput quantification of morphology and protein localization.

The paper develops a combined microscope platform that integrates quantitative phase contrast and super-resolution fluorescence imaging for high-sensitivity visualization of sub-cellular structures and molecules in their cellular context.