Enhancing resolution in coherent microscopy using deep learning

A generative adversarial network (GAN) based super-resolution framework is presented. This deep learning-based framework is capable of enhancing the resolution of coherent imaging systems in both pixel size-limited and diffraction-limited microscopy systems. © 2019 The Author(s)