Open-CSAM, a new tool for semi-automated analysis of myofiber cross-sectional area in regenerating adult skeletal muscle
| Autor: | Gaëtan Juban, Bruno Chapuis, Rémi Mounier, Julien Gondin, Bénédicte Chazaud, Alix Kemmel, Thibaut Desgeorges, Aurélie Trignol, Jessica Bouvière, Sophie Liot, Solene Lyon, David Rousseau |
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| Přispěvatelé: | Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers (UA) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
lcsh:Diseases of the musculoskeletal system Computer science Muscle Fibers Skeletal 03 medical and health sciences 0302 clinical medicine [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Image Processing Computer-Assisted medicine Animals Regeneration Myocyte Orthopedics and Sports Medicine Molecular Biology Muscle force Histological Techniques Methodology Reproducibility of Results Skeletal muscle Cell Biology Mice Inbred C57BL Muscle regeneration 030104 developmental biology medicine.anatomical_structure Fully automated Acute injury Mice Inbred mdx lcsh:RC925-935 Software 030217 neurology & neurosurgery Biomedical engineering |
| Zdroj: | Skeletal Muscle Skeletal Muscle, BioMed Central, 2019, 9 (2), pp.1-12. ⟨10.1186/s13395-018-0186-6⟩ Skeletal Muscle, Vol 9, Iss 1, Pp 1-12 (2019) |
| ISSN: | 2044-5040 |
| DOI: | 10.1186/s13395-018-0186-6⟩ |
| Popis: | Adult skeletal muscle is capable of complete regeneration after an acute injury. The main parameter studied to assess muscle regeneration efficacy is the cross-sectional area (CSA) of the myofibers as myofiber size correlates with muscle force. CSA analysis can be time-consuming and may trigger variability in the results when performed manually. This is why programs were developed to completely automate the analysis of the CSA, such as SMASH, MyoVision, or MuscleJ softwares. Although these softwares are efficient to measure CSA on normal or hypertrophic/atrophic muscle, they fail to efficiently measure CSA on regenerating muscles. We developed Open-CSAM, an ImageJ macro, to perform a high throughput semi-automated analysis of CSA on skeletal muscle from various experimental conditions. The macro allows the experimenter to adjust the analysis and correct the mistakes done by the automation, which is not possible with fully automated programs. We showed that Open-CSAM was more accurate to measure CSA in regenerating and dystrophic muscles as compared with SMASH, MyoVision, and MuscleJ softwares and that the inter-experimenter variability was negligible. We also showed that, to obtain a representative CSA measurement, it was necessary to analyze the whole muscle section and not randomly selected pictures, a process that was easily and accurately be performed using Open-CSAM. To conclude, we show here an easy and experimenter-controlled tool to measure CSA in muscles from any experimental condition, including regenerating muscle. Electronic supplementary material The online version of this article (10.1186/s13395-018-0186-6) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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