Enhancing the signal-to-noise ratio and generating contrast for cryo-EM images with convolutional neural networks

It is demonstrated that a convolutional neural network denoising algorithm can be used to significantly enhance the signal-to-noise ratio and generate contrast in cryo-EM images. It also provides a quantitative evaluation of the bias introduced by the denoising procedure and its influence on image processing and three-dimensional reconstructions.

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