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THE CAPILLARY PATTERN IN HUMAN MASSETER MUSCLE DURING AGEING
- Source :
- Image Analysis and Stereology, Vol 32, Iss 3, Pp 135-144 (2013)
- Publication Year :
- 2013
- Publisher :
- Slovenian Society for Stereology and Quantitative Image Analysis, 2013.
-
Abstract
- The effect of ageing on the capillary network in skeletal muscles has produced conflicting results in both, human and animals studies. Some of the inconsistencies are due to non-comparable and biased methods that were applied on thin transversal sections, especially in muscles with complicated morphological structures, such as in human masseter muscle. We present a new immunohistochemical method for staining capillaries and muscle fibres in 100 µm thick sections as well as novel approach to 3D visualization of capillaries and muscle fibres. Applying confocal microscopy and virtual 3D stereological grids, or tracing capillaries in virtual reality, length of capillaries within a muscle volume or length of capillaries adjacent to muscle fibre per fibre length, fibre surface or fibre volume were evaluated in masseter muscle of young and old subjects by an unbiased approach. Our findings show that anatomic capillarity is well maintained in masseter muscle in old subjects; however, vascular remodelling occurs with age, which could be a response to changed muscle function and age-related muscle fibre type transformations.
- Subjects :
- Acoustics and Ultrasonics
Capillary action
3D analysis
Materials Science (miscellaneous)
General Mathematics
Capillary network
Muscle volume
confocal microscopy
Vascular remodelling in the embryo
law.invention
Masseter muscle
Confocal microscopy
law
Radiology, Nuclear Medicine and imaging
capillaries
human
Muscle fibre
masseter muscle
Instrumentation
lcsh:R5-920
Chemistry
lcsh:Mathematics
Anatomy
lcsh:QA1-939
Ageing
Signal Processing
Computer Vision and Pattern Recognition
lcsh:Medicine (General)
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 18545165 and 15803139
- Volume :
- 32
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Image Analysis and Stereology
- Accession number :
- edsair.doi.dedup.....f6cbb23b06ba275860e5cec829c0449a