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) .
After revision:  We also propose an image degrading model to generate low resolution images for training, making our approach free from the complex image registration during training dataset preparation. After a welltrained network being created, 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) .