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Protocol for Convolutional Neural Networks based Automated Cellular Cryo-Electron Tomograms Annotation

Year: 2017

Type: article

Abstract: Cellular Electron Cryotomography \(CryoET) offers the ability to look inside cells and observe macromolecules frozen in action.A primary challenge for this technique is identifying and extracting the molecular components within the crowded cellular environment.We introduce a method using convolutional neural networks to dramatically reduce the time and human effort required for subcellular annotation and feature extraction.

Source: Protocol Exchange

DOI: 10.1038/protex.2017.095

Authors: Muyuan Chen, Muyuan Chen, Dai Wei, Stella Y. Sun, Darius Jonasch, Cynthia Y. He, Michael F. Schmid, Wah Chiu, Steven J. Ludtke

Institutions: Baylor College of Medicine, National University of Singapore

Language: English

Topic: Advanced Electron Microscopy Techniques and Applications

Subfield: Structural Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: hybrid

OpenAlex ID: W2751415744

FWCI: 0.33

Cites:

Cited by: 5

Related to: 10