Evidence map›Paper›PMID 39704651›Full record

ArticleeLife2024

CTFFIND5 provides improved insight into quality, tilt, and thickness of TEM samples.

Johannes Elferich, Lingli Kong, Ximena Zottig, Nikolaus Grigorieff

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. eLife · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Structural basis for non-AUG translation regulation by 5MPs.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. In situ cryo-ET visualization of mitochondrial depolarization and mitophagic engulfment.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. 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

4 authors.

Johannes ElferichRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, United States.ORCID https://orcid.org/0000-0002-9911-706X
Lingli KongRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, United States.ORCID https://orcid.org/0000-0002-5808-2649
Ximena ZottigRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, United States.ORCID https://orcid.org/0000-0002-2344-5163
Nikolaus GrigorieffRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, United States.ORCID https://orcid.org/0000-0002-1506-909X

Funding

Chan Zuckerberg Initiative #2021-234617 (5022)
6 · The paper itself

Abstract

Images taken by transmission electron microscopes are usually affected by lens aberrations and image defocus, among other factors. These distortions can be modeled in reciprocal space using the contrast transfer function (CTF). Accurate estimation and correction of the CTF is essential for restoring the high-resolution signal in cryogenic electron microscopy (cryoEM). Previously, we described the implementation of algorithms for this task in the

Indexed as

Image Processing, Computer-AssistedMicroscopy, Electron, TransmissionAlgorithmsCryoelectron MicroscopySoftwarecontrast transfer functioncryoEMelectron microscopymolecular biophysicsmousesample qualitystructural biology

Identifiers

PMID39704651
PMCPMC11661789

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.