Peter T. C. So

This paper introduces a scanless, high-speed 3D quantitative phase microscopy technique with improved resolution and reduced noise, enabling label-free volumetric imaging of biological samples.

RamanOmics integrates snRNA-seq, spatial transcriptomics, and Raman imaging to map spatial biochemical and molecular changes in aging and repair, identifying senescent cell signatures and their functional roles.

This study shows that modifying the optical properties of a mammalian brain can enhance deep imaging without affecting native physiology.

Raman2RNA predicts single-cell RNA expression profiles from live-cell Raman microscopy images using machine learning, achieving high accuracy in tracking cell state transitions during reprogramming.

The paper uses three-photon microscopy to correlate structural and functional features in visual cortical areas of awake mice.