Zichen Wang

The paper presents a framework for whole-cell digital twin simulations using 4D lattice light-sheet microscopy data and particle-based reaction-diffusion modeling to accurately reproduce mitochondrial dynamics.

The paper introduces far-red chemigenetic kinase activity biosensors enabling five-color multiplexing, 4D imaging, and super-resolution via STED microscopy.

This study quantifies 4D mitochondrial networks in human organoids during development, identifying distinct phenotypes linked to cell type and age.

This paper introduces WH-Transform, a GPU-accelerated algorithm for real-time preprocessing of tilted light-sheet microscopy data, enabling fast visualization and analysis of large datasets.