Liangqiong Qu

This paper develops an NIR-II scintillator that improves X-ray imaging resolution by reducing light scattering and achieving lower detection limits.

This paper develops a spatio-temporal graph convolution network to classify IBS using fMRI data, achieving 83.51% accuracy and identifying key brain regions associated with IBS.

This paper demonstrates acoustoluminescence in transition metal and rare earth oxides beyond 1800 nm for in vivo imaging, achieving deeper penetration than fluorescence imaging.

This paper develops near-infrared light sheet microscopy to image live mammals, revealing tumor dynamics and PD-L1 receptor distribution at the single-cell level.