Min Yi Guo

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.

HD2Net improves fluorescence microscopy image quality by simultaneously denoising and correcting aberrations without additional hardware, outperforming existing methods in resolution and contrast.

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.

This paper introduces a deep learning method to correct optical aberrations in fluorescence microscopy, improving image quality and enabling better downstream analysis.

This paper introduces a phase diversity-based wavefront sensing method for fluorescence microscopy to correct optical aberrations efficiently and accurately.

The paper uses diffusion condensation to analyze the C. elegans nerve ring neuropil, revealing its stratified structure and developmental principles.