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从三维数据中对骨骼肌毛细血管网络进行特征描述。

Characterization of the capillary network in skeletal muscles from 3D data.

机构信息

Institute of Anatomy, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.

出版信息

Physiol Res. 2011;60(1):1-13. doi: 10.33549/physiolres.931988. Epub 2010 Oct 15.

Abstract

In this review we present immunohistochemical methods for visualization of capillaries and muscle fibres in thick muscle sections. Special attention is paid to the procedures that preserve good morphology. Applying confocal microscopy and virtual 3D stereological grids, or tracing of capillaries in virtual reality, length of capillaries within a muscle volume or length of capillaries adjacent to a muscle fibre per fibre length, fibre surface area or fibre volume can be evaluated by an unbiased approach. Moreover, 3D models of capillaries and muscle fibres can be produced. Comparison of the developed methods with counting capillary profiles from 2D sections is discussed and the reader is warned that counting capillary profiles from 2D sections can underestimate the capillary length by as much as 75 percent. Application of the described 3D methodology is illustrated by the anatomical remodelling of capillarity during acute denervation and early reinnervation in the rat soleus and extensor digitorum longus muscles.

摘要

在这篇综述中,我们介绍了用于在厚肌肉切片中可视化毛细血管和肌纤维的免疫组织化学方法。特别关注能够保持良好形态的程序。通过应用共聚焦显微镜和虚拟 3D 立体学网格,或在虚拟现实中追踪毛细血管,可以采用无偏方法评估肌肉体积内的毛细血管长度或每纤维长度、纤维表面积或纤维体积的毛细血管与肌纤维相邻的长度。此外,可以生成毛细血管和肌纤维的 3D 模型。讨论了开发的方法与从 2D 切片计数毛细血管轮廓的比较,并警告读者,从 2D 切片计数毛细血管轮廓可能会低估毛细血管长度多达 75%。通过大鼠比目鱼肌和趾长伸肌在急性去神经和早期再神经支配期间毛细血管解剖重塑的描述 3D 方法的应用来说明。

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