Evidence map›Paper›PMID 40671944›Full record

ArticleArXiv2025

GloBIAS: strengthening the foundations of BioImage Analysis.

Agustin A Corbat, Christa G Walther, Laura R de la Ballina, Nicholas D Condon, Alessandro A Felder, Martin Schätz, Bettina Schmerl, Ko Sugawara, Clara Prats, Anna Klemm and 7 more

Abstract readPreprint
In one paragraph

Article in ArXiv, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Agustin A CorbatBioImage Informatics Unit, Science for Life Laboratory and Department of Information Technology, Uppsala University, Sweden.
Christa G WaltherGerman BioImaging - Gesellschaft für Mikroskopie und Bildanalyse e.V., Konstanz, Germany.
Laura R de la BallinaCentre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Montebello, 0379, Oslo, Norway.
Nicholas D CondonInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.
Alessandro A FelderSainsbury Wellcome Centre & Advanced Research Computing, University College London, London, United Kingdom.
Martin SchätzVinicna Microscopy Core Facility, Faculty of Science, Charles University, Prague, Czech Republic.
Bettina SchmerlPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge MA, USA.
Ko SugawaraLaboratory for Developmental Dynamics, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Clara PratsUniversity of Copenhagen.
Anna KlemmBioImage Informatics Unit, Science for Life Laboratory and Department of Information Technology, Uppsala University, Sweden.
Florian LevetUniv. Bordeaux, CNRS, Interdisciplinary Institute for Neuroscience, IINS, UMR 5297, F-33000 Bordeaux, France.
Kota MiuraBioimage Analysis & Research, Heinrich-Fuchsstr. 29, Heidelberg, 69126 Heidelberg Germany.
Paula Sampaioi3S - Instituto de Investigaçao e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Christian TischerEMBL, Data Science Centre, Heidelberg, Germany.
Rocco D'AntuonoCrick Advanced Light Microscopy STP, The Francis Crick Institute, London, United Kingdom NW1 1AT.
Beth A CiminiImaging Platform, Broad Institute of MIT and Harvard, Cambridge MA, USA.
Robert HaaseCenter for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Universität Leipzig, Leipzig, Germany.

Funding

Reexamining the Role of Dendrites in Neuronal FunctionRM1NS132981 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Jayeeta Basu, RAFAEL YUSTE · 2023 to 2026
$10.3M
Center for Open Bioimage AnalysisP41GM135019 · NIGMS · BROAD INSTITUTE, INC. · PI CARPENTER, ANNE E., CIMINI, BETH · 2020 to 2024
$6.9M
NIGMS NIH HHS P41 GM135019NINDS NIH HHS RM1 NS132981Wellcome Trust
6 · The paper itself

Abstract

There is a global need for BioImage Analysis (BIA) as advances in life sciences increasingly rely on cutting-edge imaging systems that have dramatically expanded the complexity and dimensionality of biological images. Turning these data into scientific discoveries requires people with effective data management skills and knowledge of state-of-the-art image processing and data analysis, in other words, BioImage Analysts. The Global BioImage Analysts' Society (GloBIAS) aims to enhance the profile of BioImage Analysts as a key role in science and research. Its vision encompasses fostering a global network, democratising access to BIA by providing educational resources tailored to various proficiency levels and disciplines, while also establishing guidelines for BIA courses. By collaboratively shaping the education of BioImage Analysts, GloBIAS aims to unlock the full potential of BIA in advancing life science research and to consolidate BIA as a career path. To better understand the needs and geographical representation of the BIA community, a worldwide survey was conducted and 291 responses were collected across people from all career stages and continents. This work discusses how GloBIAS aims to address community-identified shortcomings in work environment, funding, and scientific activities. The survey underscores a strong interest from the BIA community in activities proposed by GloBIAS and their interest to actively contribute. With 72% of respondents willing to pay for membership, the community's enthusiasm for both online and in-person events is set to drive the growth and sustainability of GloBIAS.

Indexed as

Bioimage analysisCommunitySurvey

Identifiers

PMID40671944
PMCPMC12265592

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.