Evidence map›Paper›PMID 42189680›Full record

ArticleSTAR protocols2026

Protocol for automated analysis of oil red O-stained Caenorhabditis elegans using Redwormpix, a Python-based application.

Thibaud Mabit, Constance Dubois, Audrey Labarre, J Alex Parker

Abstract read
In one paragraph

Article in STAR protocols, 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

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.

Thibaud MabitNantes Université, CEISAM, UMR-CNRS 6230, 44322 Nantes, France. Electronic address: thibaud.mabit@univ-nantes.fr.
Constance DuboisCentre de Recherche Du Centre Hospitalier de L'Université de Montréal (CRCHUM), Montréal, QC, Canada; Département de Neurosciences, Université de Montréal, Montréal, QC, Canada.
Audrey LabarreCentre de Recherche Du Centre Hospitalier de L'Université de Montréal (CRCHUM), Montréal, QC, Canada; Département de Neurosciences, Université de Montréal, Montréal, QC, Canada.
J Alex ParkerCentre de Recherche Du Centre Hospitalier de L'Université de Montréal (CRCHUM), Montréal, QC, Canada; Département de Neurosciences, Université de Montréal, Montréal, QC, Canada. Electronic address: ja.parker@umontreal.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oil red O (ORO) staining is a widely used histological technique for visualizing neutral lipids in Caenorhabditis elegans. However, quantitative image analysis of ORO-stained worms remains largely manual, time-consuming, and prone to human error. Here, we present a protocol for automating the quantification of ORO staining using Redwormpix, an open-source Python-based application. We describe steps for installing software, transferring images, and running the application. We then detail procedures for manual validation and exporting results.

Indexed as

Azo CompoundsCaenorhabditis elegansImage Processing, Computer-AssistedOxazinesSoftwareStaining and LabelingAnimalsAzo Compoundsoil red OOxazinesGeneticsHigh Throughput ScreeningMolecular/Chemical Probes

Identifiers

PMID42189680
PMCPMC13234720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.