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

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 d...

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Bibliographic Details
Main Authors: Eugene Palovcak, Daniel Asarnow, Melody G. Campbell, Zanlin Yu, Yifan Cheng
Format: Article
Language:English
Published: International Union of Crystallography 2020-11-01
Series:IUCrJ
Subjects:
cryo-em
convolutional neural networks
signal-to-noise ratio
contrast
Online Access:http://scripts.iucr.org/cgi-bin/paper?S2052252520013184

Internet

http://scripts.iucr.org/cgi-bin/paper?S2052252520013184

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