
Spatial Biology Revolution
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.

Single Cell Spatial Metabolomics
Decoding tissue chemistry Hu, Nat Comm, 2023

Spatial Interactomics
Protein function in tissues Cai, Nat BME, 2025

Spatial MultiOme
Integrating data complexity Zhang, APL BioE, 2024

Subcellular spatial transcriptomics
Subcellular 2D/3D gene neighborhood networks Fang, Cell Rep Met, 2023

Spatial mechanomics
Decoding tissue stiffness and molecular programming Dembowitz, Progress in Biomedical Engineering, 2025

SpatialViz
Visualizing anatomy, organization, and phenotype Allam, PNAS Nexus, 2024
Latest advances in biomedical research
Exploring innovative imaging and systems biology approaches to solve complex health challenges.



