Before revision:  Furthermore, this deep learning-based imaging approach doesn;t necessarily introduce any change to the setup of a conventional wide-filed microscope, reconstructing large FOV ( about 95 mm^2 ), high-resolution ( about 1.7 {\mu}m) image at a high speed ( in 1 second) . As a result, GAN-microscopy opens a new way to computationally overcome the general challenge of high-throughput , high-resolution microscopy that is originally coupled to the physical limitation of system's optics .
After revision:  Furthermore, this deep learning-based imaging approach doesn;t necessarily introduce any change to the setup of a conventional wide-filed microscope, reconstructing large FOV ( about 95 mm^2 ), high-resolution ( about 1.7 {\mu}m) image at a high speed ( in 1 second) , high-resolution microscopy that is originally coupled to the physical limitation of system's optics .