Our research focuses on advancing biomedical imaging and systems biology.

We develop innovative single-cell image-based molecular maps and data-visualization tools to understand complex biological systems, addressing challenges in diseases, regeneration, and neuroscience.

Three zoomed-in biological cells with detailed spatial chemical distributions, no surrounding black zoom-in frame or device, clean scientific style suitable for a spatial metabolomics research website, dark teal and blue palette, high contrast and sharp focus on the three cells only

Single Cell Spatial Metabolomics

Decoding tissue chemistry Hu, Nat Comm, 2023

A spatial interactomics image showing protein structures predicted by AlphaFold, visualized inside cells and tissues with visible graph networks representing protein-protein interactions. The aesthetic should resemble computational molecular biology visuals with colorful nodes and edges, and realistic cellular environments.

Spatial Interactomics

Protein function in tissues Cai, Nat BME, 2025

A cell illustration with visual elements representing spatial multiomics layers—such as distinct colors and patterns for genomics, proteomics, and metabolomics regions—each mapped within the cell, connected but with no text labels or annotations. Scientific and visually engaging style.

Spatial MultiOme

Integrating data complexity Zhang, APL BioE, 2024

Latest advances in biomedical research

Exploring innovative imaging and systems biology approaches to solve complex health challenges.