...
首页> 外文期刊>Neuromuscular disorders: NMD >Validation of an automated computational method for skeletal muscle fibre morphometry analysis.
【24h】

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

机译:验证骨骼肌纤维形态分析的自动计算方法。

获取原文
获取原文并翻译 | 示例
           

摘要

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.
机译:由于现有方法需要大量的手动测量,因此准确而快速地测量肌肉纤维尺寸以及评估大横截面积中的纤维类型比例仍然具有挑战性。在这项研究中,我们评估了小鼠和人类对照以及患病的肌肉横断面中大约1000条纤维的纤维形态。我们将通过使用MetaMorph的自动方法获得的纤维尺寸,百分比的纤维比例和百分比的纤维表面积结果与使用Image Pro手动获得的结果进行了比较。使用MetaMorph软件收集数据的速度更快,并且产生的结果与使用Image Pro获得的结果相似。利用MetaMorph快速准确地测量大量纤维的能力,使研究人员可以对人体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进行更精确的评估。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号