Evidence map›Paper›PMID 34608322›Full record

ArticleNature methods2021

Avoiding a replication crisis in deep-learning-based bioimage analysis.

Romain F Laine, Ignacio Arganda-Carreras, Ricardo Henriques, Guillaume Jacquemet

Abstract read
In one paragraph

Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
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  12. Near-zero photon bioimaging by fusing deep learning and ultralow-light microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Harnessing artificial intelligence for engineering extracellular vesicles.Extracellular vesicles and circulating nucleic acids · 2025
    Review
  19. Article
  20. 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.

Romain F LaineMRC-Laboratory for Molecular Cell Biology, University College London, London, UK.
Ignacio Arganda-CarrerasComputer Science and Artificial Intelligence Department, University of the Basque Country (UPV/EHU), San Sebastian, Spain.
Ricardo HenriquesMRC-Laboratory for Molecular Cell Biology, University College London, London, UK.
Guillaume JacquemetTurku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland. guillaume.jacquemet@abo.fi.ORCID http://orcid.org/0000-0002-9286-920X

Funding

European Research Council 101001332Medical Research Council MR/T027924/1Medical Research Council MR/V039229/1Wellcome Trust 203276
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Biomedical ResearchComputational BiologyDeep LearningImage Processing, Computer-AssistedMicroscopy

Identifiers

PMID34608322
PMCPMC7611896

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.