Enhancing the signal-to-noise ratio and generating contrast for cryo-EM images with convolutional neural networks
In cryogenic electron microscopy (cryo-EM) of radiation-sensitive biological samples, both the signal-to-noise ratio (SNR) and the contrast of images are critically important in the image-processing pipeline.Classic methods improve low-frequency image contrast experimentally, by imaging with high defocus, or computationally, by applying various typ