Evidence map›Paper›PMID 19683982›Full record

ArticleEuropean journal of histochemistry : EJH

Software for muscle fibre type classification and analysis.

P Karen, M Stevanec, V Smerdu, E Cvetko, L Kubínová, I Erzen

Abstract read
In one paragraph

Article in European journal of histochemistry : EJH. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

P KarenDepartment of Biomathematics, Institute of Physiology, Academy of Sciences of the Czech Republic, v.v.i., Prague, Czech Republic.
M Stevanec
V Smerdu
E Cvetko
L Kubínová
I Erzen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibre type determination requires a large series of differently stained muscle sections. The manual identification of individual fibres through the series is tedious and time consuming. This paper presents a software that enables (i) adjusting the position of individual fibres through a series of differently stained sections (image registration) and identification of individual fibres through the series as well as (ii) muscle fibre classification and (iii) quantitative analysis. The data output of the system is the following: numerical and areal proportions of fibre types, fibre type size and optical density (grey level) of the final reaction product in every fibre. The muscle fibre type can be determined stepwise, based on one set of stained sections while further, newly stained sections can be added to the already defined muscle fibre profile. Several advantages of the presented software application in skeletal muscle research are presented. The system is semiquantitative, flexible, and user friendly.

Indexed as

SoftwareAnimalsHumansImage Processing, Computer-AssistedImmunohistochemistryIn Situ HybridizationMasseter MuscleMuscle Fibers, SkeletalMyosin Heavy ChainsMyosinsProtein IsoformsRatsReproducibility of ResultsUser-Computer InterfaceMyosin Heavy ChainsMyosinsProtein Isoforms

Identifiers

PMID19683982
PMCPMC3167282

What OpenQuestion holds

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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.