Chuangqi Wang

This study compares M. tuberculosis physiology in high-dose and low-dose infection models, showing how adaptive immunity affects bacterial metabolism and drug efficacy.

scLASER simulates and detects time-dependent cellular dynamics in longitudinal studies, showing higher sensitivity than traditional methods in rare cell types and non-linear patterns.

The paper uses Markov Fields to integrate multi-modal immune data from vaccinated macaques, identifying critical immune interactions and predicting perturbation effects.

This paper introduces DeepHACX, a self-training deep learning framework for interpretable fine-grained phenotyping of live cell dynamics, revealing specific responses to pharmacological perturbations in migrating epithelial cells.

MARS-Net is a deep learning pipeline that improves cell edge segmentation across multiple live cell microscopy types, enabling accurate morphodynamics analysis.

This paper uses deep learning to detect cryptic lamellipodia edges in fluorescence time-lapse movies of collective cell migration, improving accuracy over conventional methods.