Evidence map›Paper›PMID 27225525›Full record

ArticleMicroscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada2016

Quantifying Variability of Manual Annotation in Cryo-Electron Tomograms.

Corey W Hecksel, Michele C Darrow, Wei Dai, Jesús G Galaz-Montoya, Jessica A Chin, Patrick G Mitchell, Shurui Chen, Jemba Jakana, Michael F Schmid, Wah Chiu

Abstract read
In one paragraph

Article in Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  5. Missing Wedge Completion via Unsupervised Learning with Coordinate Networks.International journal of molecular sciences · 2024
    Article
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  7. Article
  8. Review
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  12. Article
  13. Review
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  15. Article
  16. Article
  17. Article
  18. SuRVoS: Super-Region Volume Segmentation workbench.Journal of structural biology · 2017
    Article
  19. The advent of structural biologyBiophysics reports · 2017
    Article
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

10 authors.

Corey W Hecksel1Molecular Virology and Microbiology Department,Baylor College of Medicine,Houston,TX 77030,USA.
Michele C Darrow2Verna and Marrs McLean Department of Biochemistry and Molecular Biology,Baylor College of Medicine,Houston,TX 77030,USA.
Wei Dai3National Center for Macromolecular Imaging,Baylor College of Medicine,Houston,TX 77030,USA.
Jesús G Galaz-Montoya3National Center for Macromolecular Imaging,Baylor College of Medicine,Houston,TX 77030,USA.
Jessica A Chin3National Center for Macromolecular Imaging,Baylor College of Medicine,Houston,TX 77030,USA.
Patrick G Mitchell3National Center for Macromolecular Imaging,Baylor College of Medicine,Houston,TX 77030,USA.
Shurui Chen3National Center for Macromolecular Imaging,Baylor College of Medicine,Houston,TX 77030,USA.
Jemba Jakana3National Center for Macromolecular Imaging,Baylor College of Medicine,Houston,TX 77030,USA.
Michael F Schmid2Verna and Marrs McLean Department of Biochemistry and Molecular Biology,Baylor College of Medicine,Houston,TX 77030,USA.
Wah Chiu1Molecular Virology and Microbiology Department,Baylor College of Medicine,Houston,TX 77030,USA.

Funding

Center for Protein Folding Machinery (RMI)PN2EY016525 · NEI · BAYLOR COLLEGE OF MEDICINE · PI CHIU, WAH · 2005 to 2015
$33.6M
3 D ELECTRON MICROSCOPY OF MACROMOLECULES (5P41RR002250-27)P41GM103832 · NIGMS · STANFORD UNIVERSITY · PI CHIU, WAH · 2012 to 2019
$15.1M
Unified Data Resource for Large Complexes Determined by Cryo-Electron MicroscopyR01GM079429 · NIGMS · STANFORD UNIVERSITY · PI CHIU, WAH · 2007 to 2021
$11.6M
SPARX--AUTOMATED SINGLE PARTICLE RECONSTRUCTION SOFTWAREP01GM064692 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI FRANK, JACHIM · 2003 to 2007
$8.7M
NEI NIH HHS PN2 EY016525NIGMS NIH HHS P01 GM064692NIGMS NIH HHS P41 GM103832NIGMS NIH HHS R01 GM079429
6 · The paper itself

Abstract

Although acknowledged to be variable and subjective, manual annotation of cryo-electron tomography data is commonly used to answer structural questions and to create a "ground truth" for evaluation of automated segmentation algorithms. Validation of such annotation is lacking, but is critical for understanding the reproducibility of manual annotations. Here, we used voxel-based similarity scores for a variety of specimens, ranging in complexity and segmented by several annotators, to quantify the variation among their annotations. In addition, we have identified procedures for merging annotations to reduce variability, thereby increasing the reliability of manual annotation. Based on our analyses, we find that it is necessary to combine multiple manual annotations to increase the confidence level for answering structural questions. We also make recommendations to guide algorithm development for automated annotation of features of interest.

Indexed as

AlgorithmsElectron Microscope TomographyReproducibility of Resultsannotationcryo-electron tomographyDice coefficientsegmentationvalidation

Identifiers

PMID27225525
PMCPMC5111626

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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.