Evidence map›Paper›PMID 41060906›Full record

ArticlePloS one2025

A pipeline for rapid, high-throughput imaging and quantitative analysis of human intestinal organoids.

Faith M Sawyer, Fabio Stossi, Erika Nachman, Robert A Britton, Michael J Bolt, Michael A Mancini, Mary K Estes, Sarah E Blutt

Abstract read
In one paragraph

Article in PloS one, 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

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

8 authors.

Faith M SawyerDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States of America.ORCID https://orcid.org/0000-0002-5125-6941
Fabio StossiIntegrated Microscopy Core, Baylor College of Medicine, Houston, Texas, United States of America.
Erika NachmanDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States of America.
Robert A BrittonDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States of America.
Michael J BoltIntegrated Microscopy Core, Baylor College of Medicine, Houston, Texas, United States of America.
Michael A ManciniIntegrated Microscopy Core, Baylor College of Medicine, Houston, Texas, United States of America.
Mary K EstesDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States of America.
Sarah E BluttDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human intestinal organoids (HIOs) are a model system for studying human intestinal epithelium. Utilizing HIOs for high-throughput studies remains inefficient, as analyzing their cellular composition and responses to varying experimental conditions requires extensive time and labor. We describe a 96-well plate-based automated pipeline for rapidly imaging and quantifying fluorescent labeling in HIOs using a high-throughput confocal microscope and image analysis software. The pipeline was leveraged to quantify varying levels of cell proliferation among donor HIO lines in response to microbial products. Cytoplasmic fluorescence via antibody labeling was also quantified with the pipeline, enabling measurement of the prevalence of specific cell types in HIOs. This platform offers a novel approach to efficiently and rapidly image and quantify fluorescent staining and immunolabeling in HIOs and has many potential applications, including drug screening, toxicity testing, intestinal barrier integrity and transport studies, microbiome and host-pathogen interaction studies, and lineage tracking.

Indexed as

High-Throughput Screening AssaysIntestinal MucosaIntestinesOrganoidsCell ProliferationHumansImage Processing, Computer-AssistedMicroscopy, Confocal

Identifiers

PMID41060906
PMCPMC12507275

What OpenQuestion holds

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LicenceCC BY
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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.