Xiaojun Cheng

This study investigates slow speckle dynamics (SSD) in vivo to assess cellular metabolic activity using laser speckle contrast imaging, finding SSD correlates with metabolic processes and vascular dynamics.

This study develops a multi-channel SCOS system to map human cerebral blood flow changes during brain activation, showing spatial heterogeneity and validating its accuracy with a phantom.

This paper develops a deep learning method for segmenting brain vasculature from two-photon microscopy images, achieving faster computation and better generalization across imaging systems.