Yue Li

Self-supervised Internal Learning Enhances Isotropic Resolution for Three-dimensional Fluorescence Microscopy

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.

SIRP: A Self-Supervised Fluorescence Denoising method with Implicit Representation Priors

SIRP improves fluorescence microscopy image denoising by using self-supervised learning and implicit neural representations to preserve fine details under low SNR conditions.

Observing biological spatio-angular structures and dynamics with statistical image reconstruction and polarized fluorescence microscopy

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: A Deep Learning Framework for Simultaneous Denoising and Deaberration in Fluorescence Microscopy

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