A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy

A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy

Abstract Background Single-particle cryo-electron microscopy (cryo-EM) has become a mainstream tool for the structural determination of biological macromolecular complexes. However, high-resolution cryo-EM reconstruction often requires hundreds of thousands of single-particle images. Particle extrac...

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Bibliographic Details
Main Authors: Yanan Zhu, Qi Ouyang, Youdong Mao
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Bioinformatics
Subjects:
Cryo-EM
Particle recognition
Convolutional neural network
Deep learning
Single-particle reconstruction
Online Access:http://link.springer.com/article/10.1186/s12859-017-1757-y

Internet

http://link.springer.com/article/10.1186/s12859-017-1757-y

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