Evidence map›Paper›PMID 25122622›Full record

ArticleeLife2014

Beam-induced motion correction for sub-megadalton cryo-EM particles.

Sjors Hw Scheres

Abstract read
In one paragraph

Article in eLife, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers.

0numbers the graph read from it
0cells of the map it votes in
195citing 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

195 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Reducing the effects of radiation damage in cryo-EM using liquid helium temperatures.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Identification of a novel neutralization epitope in rhesus AAVs.Molecular therapy. Methods & clinical development · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Structural Analysis of Protein Complexes by Cryo-Electron Microscopy.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  17. Sample Preparation for Electron Cryo-Microscopy of Macromolecular Machines.Advances in experimental medicine and biology · 2024
    Article
  18. Review
  19. Article
  20. Article

135 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Sjors Hw ScheresStructural Studies, Medical Research Council Laboratory of Molecular Biology, Cambridge, United Kingdom scheres@mrc-lmb.cam.ac.uk.

Funding

Medical Research Council MC_UP_A025_1012
6 · The paper itself

Abstract

In electron cryo-microscopy (cryo-EM), the electron beam that is used for imaging also causes the sample to move. This motion blurs the images and limits the resolution attainable by single-particle analysis. In a previous Research article (Bai et al., 2013) we showed that correcting for this motion by processing movies from fast direct-electron detectors allowed structure determination to near-atomic resolution from 35,000 ribosome particles. In this Research advance article, we show that an improved movie processing algorithm is applicable to a much wider range of specimens. The new algorithm estimates straight movement tracks by considering multiple particles that are close to each other in the field of view, and models the fall-off of high-resolution information content by radiation damage in a dose-dependent manner. Application of the new algorithm to four data sets illustrates its potential for significantly improving cryo-EM structures, even for particles that are smaller than 200 kDa.

Indexed as

AlgorithmsAmyloid Precursor Protein SecretasesAnimalsbeta-GalactosidaseCattleCryoelectron MicroscopyElectron Transport Complex IEscherichia coliHumansModels, MolecularMotionRibosomesSaccharomyces cerevisiaeAmyloid Precursor Protein Secretasesbeta-GalactosidaseElectron Transport Complex Icryo-EMimage analysissingle-particle analysis

Identifiers

PMID25122622
PMCPMC4130160

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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.