Incorporating the image formation process into deep learning improves network performance in deconvolution applications
Y. Li, Y. Su, M. Guo…·H. Shroff
This paper introduces RLN, a deep learning method for 3D fluorescence microscopy deconvolution that improves speed, performance, and generalizability compared to existing methods.