Min Guo

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

This paper introduces faster deconvolution and multiview fusion methods, achieving speedups of 10 to several thousand-fold over previous approaches.