Haohua Tu

ViFIT-assisted histopathology converts diverse H&E-stained images into standardized H&E images and generates virtual fiber images, improving diagnostic workflows across cancer types.

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

This paper introduces a deep learning method to correct stripes and artifacts in stitched microscope images, achieving state-of-the-art performance without requiring manual annotations or raw stitched data.

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