Evidence map›Paper›PMID 28846087›Full record

ArticleNature methods2017

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

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

Abstract read
In one paragraph

Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 232 papers.

0numbers the graph read from it
0cells of the map it votes in
232citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

232 citing papers in PubMed.

  1. Structural Polymorphism of polyG Inclusions Revealed by In Situ Cryo-Electron Tomography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
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  4. CoCryoViS: Collaborative online cryo-electron tomography visualization system.Protein science : a publication of the Protein Society · 2026
    Article
  5. Interactive segmentation of membrane and membrane-mimic densities in cryo-EM maps.Acta crystallographica. Section D, Structural biology · 2026
    Article
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172 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Muyuan ChenGraduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, Texas, USA.
Wei DaiVerna Marrs and McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, USA.
Stella Y SunVerna Marrs and McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, USA.
Darius JonaschVerna Marrs and McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, USA.
Cynthia Y HeDepartment of Biological Science, Centre for BioImaging Sciences, National University of Singapore, Singapore.
Michael F SchmidVerna Marrs and McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, USA.
Wah ChiuVerna Marrs and McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, USA.
Steven J LudtkeVerna Marrs and McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, USA.ORCID http://orcid.org/0000-0002-1903-1574

Funding

3 D ELECTRON MICROSCOPY OF MACROMOLECULES (5P41RR002250-27)P41GM103832 · NIGMS · STANFORD UNIVERSITY · PI CHIU, WAH · 2012 to 2019
$15.1M
Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
Project 3: TRiC modulation of CNS pathogenesis in HD mouse modelsP01NS092525 · NINDS · UNIVERSITY OF CALIFORNIA-IRVINE · PI THOMPSON, LESLIE MICHELS · 2016 to 2020
$6.3M
SUPPORT AND DEVELOPMENT OF EMAN FOR ELECTRON MICROSCOPY IMAGE PROCESSINGR01GM080139 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LUDTKE, STEVEN J · 2006 to 2022
$5.4M
NIGMS NIH HHS P41 GM103311NIGMS NIH HHS P41 GM103832NIGMS NIH HHS R01 GM080139NINDS NIH HHS P01 NS092525
6 · The paper itself

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 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.

Indexed as

CryopreservationNeural Networks, ComputerCyanobacteriaElectron Microscope TomographyImage Processing, Computer-AssistedSoftware

Identifiers

PMID28846087
PMCPMC5623144

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.