Junyu Liu

This paper introduces DeepIso, a self-supervised framework that enhances isotropic resolution in 3D fluorescence microscopy by restoring axial frequency content without requiring explicit PSF models or system calibration.

This paper introduces an algorithm to reconstruct 3D molecular orientation and density from polarized fluorescence microscopy data, demonstrating its application on biological structures and dynamics.

This paper introduces RO-iSCAT, a technique that enables real-time, label-free tracking of membrane protrusions with high axial resolution and minimal phototoxicity.

The paper introduces a polarized dual-view light-sheet microscope to recover 3D orientations and positions of fluorescent dipoles, validated with experiments on biological samples.