Evidence map›Paper›PMID 42554056›Full record

ArticleDevelopment (Cambridge, England)2026

EpiCure (Epithelial Curation): a versatile and handy tool for curation of epithelial segmentation.

Gaëlle Letort, Léo Valon, Arthur Michaut, Tom Cumming, Laura Xénard, Minh-Son Phan, Nicolas Dray, Curtis T Rueden, François Schweisguth, Jérôme Gros and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Development (Cambridge, England), 2026. 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

13 authors.

Gaëlle LetortDepartment of Developmental and Stem Cell Biology, Institut Pasteur, Université Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France.ORCID 0000-0002-5866-0322
Léo ValonDepartment of Developmental and Stem Cell Biology, Institut Pasteur, Université Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France.ORCID 0000-0002-6544-0176
Arthur MichautDepartment of Developmental and Stem Cell Biology, Institut Pasteur, Université Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France.ORCID 0000-0003-1226-0021
Tom CummingDepartment of Developmental and Stem Cell Biology, Institut Pasteur, Université Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France.ORCID 0000-0003-3091-4017
Laura XénardImage Analysis Hub, Institut Pasteur, Université Paris Cité, Image Analysis Hub, 75015 Paris, France.ORCID 0000-0002-8168-0970
Minh-Son PhanDepartment of Developmental and Stem Cell Biology, Institut Pasteur, Université Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France.ORCID 0000-0002-9916-1351
Nicolas DrayDepartment of Developmental and Stem Cell Biology, Institut Pasteur, Université Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France.ORCID 0000-0002-2632-6004
Curtis T RuedenCenter for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0001-7055-6707
François SchweisguthDepartment of Developmental and Stem Cell Biology, Institut Pasteur, Université Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France.ORCID 0000-0001-8888-9390
Jérôme GrosDepartment of Developmental and Stem Cell Biology, Institut Pasteur, Université Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France.ORCID 0000-0002-2264-2851
Laure Bally-CuifDepartment of Developmental and Stem Cell Biology, Institut Pasteur, Université Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France.ORCID 0000-0001-6611-6274
Jean-Yves TinevezImage Analysis Hub, Institut Pasteur, Université Paris Cité, Image Analysis Hub, 75015 Paris, France.ORCID 0000-0002-0998-4718
Romain LevayerDepartment of Developmental and Stem Cell Biology, Institut Pasteur, Université Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France.ORCID 0000-0001-6769-1465

Funding

Center for Open Bioimage AnalysisP41GM135019 · NIGMS · BROAD INSTITUTE, INC. · PI CARPENTER, ANNE E. · 2020 to 2024
$6.9M
Agence Nationale de la Recherche ANR-10-LABX-0073Agence Nationale de la Recherche ANR-17-EURE-0012Agence Nationale de la Recherche ANR-24-INBS-0005 FBI BIOGENAgence Nationale de la Recherche CellTeamAgence Nationale de la Recherche CoeCECAAgence Nationale de la Recherche EURIP ANR-17-EURE-0012Agence Nationale de la Recherche ForcePatternAgence Nationale de la Recherche INCEPTION PIA/ANR-16-CONV-0005Agence Nationale de la Recherche MAPEFLUAgence Nationale de la Recherche PIA/ANR-16-CONV-0005Centre National de la Recherche Scientifique MR3738Centre National de la Recherche Scientifique UMR 3738Chan Zuckerberg InitiativeChan Zuckerberg Initiative P41GM135019CNRS UMR3738European Research Council 101085444European Research Council MechanoselfFateEuropean Research Council PrApEDoCEuropean Research Council SyG PEPS 101071786Fondation Bettencourt SchuellerFondation Bettencourt Schueller FIRE PhD programFondation pour la Recherche Medicale EQU202203014636Fondation pour la Recherche Medicale FDT202504020138Fondation pour la Recherche Médicale EQU202203014636Fondation pour la Recherche Médicale FDT202504020138HORIZON EUROPE European Research Council 101085444HORIZON EUROPE European Research Council ERC SyG PEPS 101071786Institut PasteurInstitut Pasteur Pasteur Roux CantariniInstitut Pasteur PPU programLigue Contre le CancerLigue Contre le Cancer 4th year grantNIH HHS P41GM135019
6 · The paper itself

Abstract

Despite advances in deep-learning and bioimage analysis, manual curation of segmented and tracking data is still required to extract accurate quantitative single cell temporal information from large tissue/embryo movies. However, very few tools address specifically this challenge. We present here EpiCure (Epithelial Curation), a versatile tool designed to streamline and accelerate manual curation of segmentation and tracking in 2D movies of large epithelial tissues. EpiCure uses temporal information and morphometric parameters to automatically identify segmentation and tracking errors and provides user-friendly tools to correct them. It focuses on ergonomics and offers visualization options to help navigate movies covering a large number of cells, speeding up the detection and curation of errors. EpiCure is highly interoperable, supports input from diverse segmentation tools and includes multiple export filters enabling seamless integration with downstream analysis pipelines. Using movies from several animal models, we highlight the importance of curating cell segmentation and tracking for accurate downstream analysis, and how EpiCure helps by extracting single cell dynamics and detecting cellular events in a large dataset.

Indexed as

Epithelial CellsImage Processing, Computer-AssistedSoftwareAnimalsEpitheliumCell deathCell divisionCurationEpitheliumLineageNapariPythonSegmentationTracking

Identifiers

PMID42554056

What OpenQuestion holds

Textmetadata
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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.