National Institutes of Health/National Institute of General Medical Sciences (NIH/NIGMS)
R01GM080139, P01NS092525, P41GM103832
United States
Citation
Journal: Nat Methods / Year: 2017 Title: Convolutional neural networks for automated annotation of cellular cryo-electron tomograms. Authors: Muyuan Chen / Wei Dai / Stella Y Sun / Darius Jonasch / Cynthia Y He / Michael F Schmid / Wah Chiu / Steven J Ludtke / Abstract: Cellular electron cryotomography offers researchers the ability to observe macromolecules frozen in action in situ, but a primary challenge with this technique is identifying molecular components ...Cellular electron cryotomography offers researchers the ability to observe macromolecules frozen in action in situ, but a primary challenge with this technique is identifying molecular components within the crowded cellular environment. We introduce a method that uses neural networks to dramatically reduce the time and human effort required for subcellular annotation and feature extraction. Subsequent subtomogram classification and averaging yield in situ structures of molecular components of interest. The method is available in the EMAN2.2 software package.
History
Deposition
Feb 3, 2017
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Header (metadata) release
Mar 1, 2017
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Map release
Mar 1, 2017
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Update
Jan 29, 2020
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Current status
Jan 29, 2020
Processing site: RCSB / Status: Released
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