Ruijie Cao

This paper introduces 3D-ADE, a toolkit for adaptive 3D deconvolution and evaluation of volumetric fluorescence microscopy, improving resolution and fidelity through physics-based PSF calibration and deep learning.

This paper introduces DeepUI, a physics-driven framework that reconstructs isotropic 3D fluorescence images from undersampled axial data, achieving high performance even under challenging conditions.

This paper introduces a method to remove defocus backgrounds in fluorescence microscopy using dark channels and dual frequency separation, significantly improving image quality.

This paper introduces a high-speed 3DSIM system using DMD and electro-optic modulators, achieving improved resolution and imaging speed for various biological specimens.