Evidence map›Paper›PMID 26564785›Full record

ArticleScientific reports2015

X-ray phase-contrast tomography for high-spatial-resolution zebrafish muscle imaging.

William Vågberg, Daniel H Larsson, Mei Li, Anders Arner, Hans M Hertz

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.4field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 55 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

William VågbergDepartment of Applied Physics, KTH Royal Institute of Technology/Albanova, Stockholm, Sweden.
Daniel H LarssonDepartment of Applied Physics, KTH Royal Institute of Technology/Albanova, Stockholm, Sweden.
Mei LiDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Anders ArnerDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Hans M HertzDepartment of Applied Physics, KTH Royal Institute of Technology/Albanova, Stockholm, Sweden.
KTH Royal Institute of Technology · SEKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging of muscular structure with cellular or subcellular detail in whole-body animal models is of key importance for understanding muscular disease and assessing interventions. Classical histological methods for high-resolution imaging methods require excision, fixation and staining. Here we show that the three-dimensional muscular structure of unstained whole zebrafish can be imaged with sub-5 μm detail with X-ray phase-contrast tomography. Our method relies on a laboratory propagation-based phase-contrast system tailored for detection of low-contrast 4-6 μm subcellular myofibrils. The method is demonstrated on 20 days post fertilization zebrafish larvae and comparative histology confirms that we resolve individual myofibrils in the whole-body animal. X-ray imaging of healthy zebrafish show the expected structured muscle pattern while specimen with a dystrophin deficiency (sapje) displays an unstructured pattern, typical of Duchenne muscular dystrophy. The method opens up for whole-body imaging with sub-cellular detail also of other types of soft tissue and in different animal models.

Indexed as

AnimalsDisease Models, AnimalDystrophinImaging, Three-DimensionalLarvaMicroscopy, ConfocalMicroscopy, Phase-ContrastMusclesMuscular Dystrophy, AnimalMuscular Dystrophy, DuchenneMyofibrilsRadiographic Image EnhancementReproducibility of ResultsTomography, X-Ray ComputedZebrafishDystrophin

Identifiers

PMID26564785
PMCPMC4643221
OpenAlexW2444473664

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.