Shu Jia

This paper introduces MOSH, a multiscale optical super-resolution histology platform that enhances resolution while maintaining tissue-scale context and throughput.

Quanta microscopy enables high-speed fluorescence imaging at the native bit-plane rate by reconstructing multibit images from sparse photon-detection maps.

This paper introduces a multimodal 3D endoscope combining light-field and laser-speckle imaging to capture 3D structure and blood flow during surgery.

The paper introduces FOLIC, a foveated light-field imaging system that combines compound and chambered eye principles to enable multiscale, depth-extended visualization across biomedical specimens.

HYPER-Net enables physics-conditioned self-supervised reconstruction for Fourier light-field microscopy, improving volumetric imaging across diverse biological contexts.

This paper introduces Volumetric Scattering Microscopy (VSM), a computational framework for 3D fluorescence imaging in scattering biological media, achieving high-fidelity volumetric reconstruction across various samples.

This paper introduces HYFEN, a hydrogel-based endomicroscopy platform that enables flexible, biocompatible, and subcellular-scale fluorescence imaging with improved resolution and performance compared to conventional silica-based fibers.

PAVR enables high-resolution volumetric imaging of cells using a physics-aware framework trained on simulated data, demonstrating applications in tracking subcellular structures and analyzing cardiac cell dynamics.

This paper introduces SPI, a super-resolution microscopy technique that enables real-time, high-throughput imaging with minimal post-processing.

This paper introduces VLM, a super-resolution microscopy method that combines hardware and algorithmic improvements to achieve high-fidelity 3D single-molecule imaging with 10 nm and 25 nm localization precision.