BMC Musculoskeletal Disorders | |
A new web-based method for automated analysis of muscle histology | |
关键词:
Duchenne muscular dystrophy;
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DOI : 10.1186/1471-2474-14-26 | |
来源: DOAJ |
【 摘 要 】
Abstract
Background
Duchenne Muscular Dystrophy is an inherited degenerative neuromuscular disease characterised by rapidly progressive muscle weakness. Currently, curative treatment is not available. Approaches for new treatments that improve muscle strength and quality of life depend on preclinical testing in animal models. The
Methods
Immunological and histochemical reactions were used to obtain a double staining for fast and slow myosin. Additionally, fluorescence staining of the myofibre membranes allows defining the minimal Feret’s diameter. The staining of myonuclei with the fluorescence dye bisbenzimide H was utilised to identify nuclei located internally within myofibres. Relevant structures were extracted from the image as single objects and assigned to different object classes using web-based image analysis (MyoScan). Quantitative and morphometric data were analysed, e.g. the number of nuclei per fibre and minimal Feret’s diameter in 6 month old wild-type C57BL/10 mice and
Results
In the current version of the module “MyoScan”, essential parameters for histologic analysis of muscle sections were implemented including the minimal Feret’s diameter of the myofibres and the automated calculation of the percentage of internally nucleated myofibres. Morphometric data obtained in the present study were in good agreement with previously reported data in the literature and with data obtained from manual analysis.
Conclusions
A standardised and mainly automated quantitative assessment of histopathological parameters in the
【 授权许可】
Unknown