Author:
Xu Chenyu,Jin Zhouyu,Xiong Bo,Zhou You,Cao Xun
Abstract
3D stacks captured by conventional brightfield and widefield fluorescence microscopes suffer from inter-plane crosstalk, hindering high-quality 3D imaging. We present a physics-informed self-supervised machine learning method for 3D image stack restoration.