Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images
Z. H. Shah, M. Müller, T.-C. Wang, P. M. Scheidig, A. Schneider, M. Schüttpelz, T. Huser, W. Schenck
This paper develops a deep-learning method to denoise and reconstruct SR-SIM images, improving image quality and robustness across varying noise levels and microscope settings.
bioRxiv · Oct 27, 2020Biophysics