Evidence map›Paper›PMID 42545961›Full record

ArticlePloS one2026

Automatic body morphometric analysis of adult zebrafish using microCT.

Mohammed Mushtak Kanani, Ronald Young Kwon

Abstract read
In one paragraph

Article in PloS one, 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

2 authors.

Mohammed Mushtak KananiSchool of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0009-0008-2900-5610
Ronald Young KwonSchool of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0001-9760-3761

Funding

Diversity Supplement for Rohda YaseR01AR074417 · NIAMS · UNIVERSITY OF WASHINGTON · PI KWON, RONALD Y · 2020 to 2025
$2.9M
NIAMS NIH HHS R01 AR074417
6 · The paper itself

Abstract

Zebrafish (Danio rerio) are an important model for the study of musculoskeletal genetics, development, disease, regeneration, and evolution. While micro-computed tomography (microCT) allows for the assessment of quantitative 3D morphometric measures related to body size and shape and lean mass in adult zebrafish, computing these measures is typically a labor-intensive process. The purpose of this study was to develop fully automatic methods for the calculation of lean volume, fineness ratio, anterior and posterior swim bladder length, and standard length from microCT scans of adult zebrafish. Here, we show that built-in functions in the open-source software FIJI/ImageJ can be combined into fully automated methods to compute these measures. We show that measures computed by automated methods compare favorably to those computed using manual and semi-automated methods while significantly improving the throughput of data collection and eliminating inter-observer variability. We have implemented these methods as ImageJ macros, providing an accessible tool to facilitate the use of microCT for body morphometric analyses in adult zebrafish.

Indexed as

X-Ray MicrotomographyZebrafishAnimalsAutomationBody SizeImage Processing, Computer-AssistedImaging, Three-DimensionalSoftware

Identifiers

PMID42545961
PMCPMC13432094

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.