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Convolutional neural networks for automated annotation of cellular cryo-electron tomograms

Convolutional neural networks for automated annotation of cellular cryo-electron tomograms

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5623144

Convolutional neural networks for automated annotation of cellular cryo-electron tomograms

About this item

Full title

Convolutional neural networks for automated annotation of cellular cryo-electron tomograms

Publisher

London: Nature Publishing Group UK

Journal title

Nature methods, 2017-10, Vol.14 (10), p.983-985

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

An algorithm and software tool automating the annotation of subcellular features in cryo-electron tomography data is presented.
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 crowd...

Alternative Titles

Full title

Convolutional neural networks for automated annotation of cellular cryo-electron tomograms

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5623144

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5623144

Other Identifiers

ISSN

1548-7091

E-ISSN

1548-7105

DOI

10.1038/nmeth.4405

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