Evidence map›Paper›PMID 28982947›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2018

MyoVision: software for automated high-content analysis of skeletal muscle immunohistochemistry.

Yuan Wen, Kevin A Murach, Ivan J Vechetti, Christopher S Fry, Chase Vickery, Charlotte A Peterson, John J McCarthy, Kenneth S Campbell

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed
6.8field-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

172 citing papers in PubMed, 257 citations in OpenAlex.

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112 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Yuan WenDepartment of Physiology, College of Medicine, University of Kentucky , Lexington, Kentucky.ORCID 0000-0002-3210-1629
Kevin A MurachCenter for Muscle Biology, University of Kentucky , Lexington, Kentucky.
Ivan J VechettiDepartment of Physiology, College of Medicine, University of Kentucky , Lexington, Kentucky.
Christopher S FryDepartment of Nutrition and Metabolism, Division of Rehabilitation Sciences, and Sealy Center on Aging, University of Texas Medical Branch , Galveston, Texas.
Chase VickeryMSTC Program, Paul Laurence Dunbar High School , Lexington, Kentucky.
Charlotte A PetersonCenter for Muscle Biology, University of Kentucky , Lexington, Kentucky.
John J McCarthyDepartment of Physiology, College of Medicine, University of Kentucky , Lexington, Kentucky.
Kenneth S CampbellDepartment of Physiology, College of Medicine, University of Kentucky , Lexington, Kentucky.ORCID 0000-0001-5615-5958
University of Kentucky · USThe University of Texas Medical Branch at Galveston · US

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
NRSA Training CoreTL1TR001997 · NCATS · UNIVERSITY OF KENTUCKY · PI PENDERGAST, JULIE S, STOOPS, WILLIAM WALTON · 2016 to 2025
$4.2M
The role of satellite cells in adult skeletal muscle growth and maintenanceR01AR060701 · NIAMS · UNIVERSITY OF KENTUCKY · PI MCCARTHY, JOHN JOSEPH, PETERSON, CHARLOTTE A. · 2010 to 2019
$3.3M
Multiscale modeling of inherited cardiomyopathies and therapeutic interventionsU01HL133359 · NHLBI · UNIVERSITY OF KENTUCKY · PI CAMPBELL, KENNETH S, WENK, JONATHAN F · 2017 to 2021
$3.1M
BetaCatenin Regulation of Skeletal Muscle HypertrophyR01AR061939 · NIAMS · UNIVERSITY OF KENTUCKY · PI ESSER, KARYN A, MCCARTHY, JOHN JOSEPH · 2012 to 2016
$1.7M
Fusion-Independent Roles of Satellite Cells in Muscle AdaptationF32AR071753 · NIAMS · UNIVERSITY OF KENTUCKY · PI MURACH, KEVIN · 2017 to 2019
$184k
NCATS NIH HHS TL1 TR001997NCATS NIH HHS UL1 TR001998NHLBI NIH HHS U01 HL133359NIAMS NIH HHS F32 AR071753NIAMS NIH HHS R01 AR060701NIAMS NIH HHS R01 AR061939
6 · The paper itself

Abstract

Analysis of skeletal muscle cross sections is an important experimental technique in muscle biology. Many aspects of immunohistochemistry and fluorescence microscopy can now be automated, but most image quantification techniques still require extensive human input, slowing progress and introducing the possibility of user bias. MyoVision is a new software package that was developed to overcome these limitations. The software improves upon previously reported automatic techniques and analyzes images without requiring significant human input and correction. When compared with data derived by manual quantification, MyoVision achieves an accuracy of ≥94% for basic measurements such as fiber number, fiber type distribution, fiber cross-sectional area, and myonuclear number. Scientists can download the software free from www.MyoVision.org and use it to automate the analysis of their own experimental data. This will improve the efficiency and consistency of the analysis of muscle cross sections and help to reduce the burden of routine image quantification in muscle biology. NEW & NOTEWORTHY Scientists currently analyze images of immunofluorescently labeled skeletal muscle using time-consuming techniques that require sustained human supervision. As well as being inefficient, these techniques can increase variability in studies that quantify morphological adaptations of skeletal muscle at the cellular level. MyoVision is new software that overcomes these limitations by performing high-content analysis of muscle cross sections with minimal manual input. It is open source and freely available.

Indexed as

ImmunohistochemistrySoftwareAnimalsMiceMuscle, Skeletalautomation softwarecell morphologyhigh-content microscopyimage analysisskeletal muscle

Identifiers

PMID28982947
PMCPMC6048460
OpenAlexW2763424450

What OpenQuestion holds

Textmetadata
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.