Evidence map›Paper›PMID 37537341›Full record

ArticleHistochemistry and cell biology2023

Providing open imaging data at scale: An EMBL-EBI perspective.

Matthew Hartley, Andrii Iudin, Ardan Padwardhan, Ugis Sarkans, Aybüke Küpcü Yoldaş, Gerard J Kleywegt

Abstract read
In one paragraph

Article in Histochemistry and cell biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. In focus: data management and data analysis in microscopy.Histochemistry and cell biology · 2023
    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

6 authors.

Matthew HartleyEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK. matthewh@ebi.ac.uk.
Andrii IudinEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
Ardan PadwardhanEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
Ugis SarkansEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
Aybüke Küpcü YoldaşEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
Gerard J KleywegtEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.

Funding

Medical Research Council MR/L007835/1Medical Research Council MR/P019544/1
6 · The paper itself

Abstract

Biological imaging is one of the primary tools by which we understand living systems across scales from atoms to organisms. Rapid advances in imaging technology have increased both the spatial and temporal resolutions at which we examine those systems, as well as enabling visualisation of larger tissue volumes. These advances have huge potential but also generate ever increasing amounts of imaging data that must be stored and analysed. Public image repositories provide a critical scientific service through open data provision, supporting reproducibility of scientific results, access to reference imaging datasets and reuse of data for new scientific discovery and acceleration of image analysis methods development. The scale and scope of imaging data provides both challenges and opportunities for open sharing of image data. In this article, we provide a perspective influenced by decades of provision of open data resources for biological information, suggesting areas to focus on and a path towards global interoperability.

Indexed as

Image Processing, Computer-AssistedReproducibility of ResultsBioimagingData integrationData managementMetadata

Identifiers

PMID37537341
PMCPMC10492673

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.