Jun Zhu

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