Autofocusing of fluorescent microscopic images through deep learning convolutional neural networks

We present convolutional neural network models that can predict focused fluorescent microscopic images (modified UNET with cGAN) as well as the focal length (using the VGG model) from blurred images captured at overfocused or underfocused planes.