Chentao Wen

The paper introduces image-scanning light-sheet microscopy to enable high-speed volumetric imaging of complex biological dynamics with improved speed while maintaining resolution and efficiency.

This study examines how photothermal therapy affects ERK signaling and intercellular communication in tumor spheroids using FRET sensors and deep learning.

The paper harmonizes whole-brain imaging datasets from multiple labs to enable automated neuron identification and identifies factors influencing neuron positioning in C. elegans.

Seg2Link provides a semi-automated tool for cell segmentation in 3D image stacks, combining deep learning predictions with manual corrections to improve accuracy and efficiency.

The paper develops a deep-learning-based pipeline for segmenting and tracking cells in 3D brain imaging data, achieving high accuracy across different conditions and datasets.