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自动化计算方法用于骨骼肌纤维形态计量分析的验证。

Validation of an automated computational method for skeletal muscle fibre morphometry analysis.

机构信息

Institute for Neuroscience and Muscle Research, The Children's Hospital at Westmead, Sydney, NSW 2145, Australia.

出版信息

Neuromuscul Disord. 2010 Aug;20(8):540-7. doi: 10.1016/j.nmd.2010.06.012. Epub 2010 Jul 17.

DOI:10.1016/j.nmd.2010.06.012
PMID:20638845
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 approximately 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.

摘要

准确快速地测量大横截面积中的肌肉纤维大小和评估纤维类型比例仍然具有挑战性,因为现有方法需要进行大量的手动测量。在这项研究中,我们评估了约 1000 根在小鼠和人类对照及患病肌肉横切面上的纤维形态计量学。我们比较了使用 MetaMorph 的自动化方法与使用 Image Pro 手动获得的纤维大小、纤维比例百分比和纤维表面积百分比结果。使用 MetaMorph 软件进行数据收集更快,并且得到的结果与使用 Image Pro 获得的结果相似。使用 MetaMorph 快速准确地测量大量纤维的能力使研究人员能够更精确地评估人类肌肉活检和肌肉疾病动物模型中的纤维类型和纤维大小变化。

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