Marcin Jureka & Matthias Katzfussb*a Department of Statistics and Data Science, University Texas at Austin, TX; b Statistics, A&M University, College Station, TX

Abstract Super-resolution optical imaging is crucial to the study of cellular processes. Current super-resolution fluorescence microscopy restricted by need special fluorophores or sophisticated systems, long acquisition and computational times. In this work, we present a deep-learning-based technique confocal microscopy. We devise two-channel attention network (TCAN), which takes advantage bot...