2014
DOI: 10.1186/2044-5040-4-21
|View full text |Cite
|
Sign up to set email alerts
|

SMASH – semi-automatic muscle analysis using segmentation of histology: a MATLAB application

Abstract: BackgroundHistological assessment of skeletal muscle tissue is commonly applied to many areas of skeletal muscle physiological research. Histological parameters including fiber distribution, fiber type, centrally nucleated fibers, and capillary density are all frequently quantified measures of skeletal muscle. These parameters reflect functional properties of muscle and undergo adaptation in many muscle diseases and injuries. While standard operating procedures have been developed to guide analysis of many of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

3
178
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 191 publications
(181 citation statements)
references
References 37 publications
(51 reference statements)
3
178
0
Order By: Relevance
“…Three images were taken from both the superficial and deep regions of each muscle. Images were subsequently analyzed for fiber size (minimum Feret diameter) and fiber type distribution using the SMASH application 21 .…”
Section: Methodsmentioning
confidence: 99%
“…Three images were taken from both the superficial and deep regions of each muscle. Images were subsequently analyzed for fiber size (minimum Feret diameter) and fiber type distribution using the SMASH application 21 .…”
Section: Methodsmentioning
confidence: 99%
“…A-21428; Life Technologies, Carlsbad, CA, USA), to measure the cross-sectional area of individual fibers. Stained sections were visualized on a Leica DMR microscope (Leica Microsystems, Bannockburn, IL, USA), and digital images were analyzed using semi-automatic muscle analysis (24).…”
Section: Morphologic Analysismentioning
confidence: 99%
“…The tendon midsubstance was evaluated for cell density, nuclear shape, and GAG staining through grading by three independent and blinded investigators. Deep and superficial muscle regions were analyzed for fiber size (min Feret diameter) and fiber type distribution using the SMASH application (Smith and Barton, 2014). Two-way ANOVAs were used to evaluate the effects of time and group on functional properties, followed by post hoc t-tests with Bonferroni corrections.…”
Section: Methodsmentioning
confidence: 99%