Validation of an automated computational method for skeletal muscle fibre morphometry analysis |
| |
| Affiliation: | 1. Department of Chemistry, Key Laboratory of Functional Inorganic Material Chemistry of Anhui Province, Anhui University, Hefei 230601, PR China;2. Department of Food and Environmental Engineering, Chuzhou Vocational and Technical College, Chuzhou 239000, PR China;3. State Key Laboratory of Coordination Chemistry, Nanjing University, Nanjing 210093, PR China;1. Institute of Grassland Science, Northeast Normal University, Key Laboratory of Vegetation Ecology, Ministry of Education, Changchun 130024, PR China;2. Heilongjiang Academy of Agricultural Sciences, Harbin 150086, PR China;1. Institute of Systems Biology, Ltd, Novosibirsk, Russia;2. Design Technological Institute of Digital Techniques, SB RAS, Novosibirsk, Russia;3. Institute of Informatics Systems, SB RAS, Novosibirsk, Russia;4. geneXplain GmbH, Wolfenbuettel, Germany;5. Institute of Chemical Biology and Fundamental Medicine, SBRAN, Novosibirsk, Russia;1. Centre for Heart Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia;2. Department of Cardiology, Westmead Hospital, Sydney, NSW, Australia;3. Centre for Diabetes, Obesity and Endocrinology, Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia;4. Sydney Medical School, The University of Sydney, Sydney, NSW, Australia;5. Victor Chang Cardiac Research Institute, Sydney, NSW, Australia;1. Department of Bio-Mechatronic Engineering, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon, South Korea;2. Department of Surgery, College of Medicine, Hallym University, Hangang Sacred Heart Hospital, Seoul, South Korea |
| |
| Abstract: | ![]()
Accurate and fast measurement of muscle fibre size and evaluation of fibre type proportions in large cross-sectional areas remains challenging as existing methods require extensive manual measurements. In this study, we assessed the fibre morphometry of ∼1000 fibres in mouse and human control and diseased muscle cross-sections. We compared fibre size, percentage fibre proportion and percentage fibre surface area results obtained by an automated method using MetaMorph® with those obtained manually using Image Pro. Data collection using MetaMorph® software was faster and produced similar results to those obtained using Image Pro. The ability to quickly and accurately measure large numbers of fibres with MetaMorph® allows the researcher to make a more precise assessment of fibre type and fibre size changes in human muscle biopsies and animal models of muscle disease. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
