Suppr超能文献

一种基于计算机的研究骨骼肌中肌纤维类型空间分布的通用方法。

A general, computer-based method for study of the spatial distribution of muscle fiber types in skeletal muscle.

作者信息

Grotmol S, Totland G K, Kryvi H

机构信息

Norwegian College of Veterinary Medicine, Oslo.

出版信息

Anat Embryol (Berl). 1988;177(5):421-6. doi: 10.1007/BF00304739.

Abstract

The present method provides detailed quantitative information on the spatial distribution of the muscle fiber types in skeletal muscle. This is accomplished by comparing the measured spatial distribution of the fiber types with a computer-simulated random pattern. The method is based on a registration of the absolute frequency for six principal categories of fiber contacts (I-I, I-IIA, I-IIB, IIA-IIA, IIA-IIB, IIB-IIB). A computer program was designed to simulate a random pattern of fibers. The simulations were performed with high accuracy with regard to fiber type proportion and the number of neighbouring fibers. The computer then calculated the frequency for each of the different categories of fiber contacts in the simulated random pattern. The measured distribution of fiber contacts could thus be compared to the simulated random pattern. In three bovine muscles studied, the spatial distribution of the muscle fiber types showed a similar pattern. The muscle fibers had a distinct tendency to be surrounded by fibers of a different type. In all three muscles the difference between the measured and the simulated random pattern was statistically significant (p less than 10(-3).

摘要

目前的方法提供了关于骨骼肌中肌纤维类型空间分布的详细定量信息。这是通过将测量的纤维类型空间分布与计算机模拟的随机模式进行比较来实现的。该方法基于对六种主要纤维接触类别(I-I、I-IIA、I-IIB、IIA-IIA、IIA-IIB、IIB-IIB)的绝对频率进行记录。设计了一个计算机程序来模拟纤维的随机模式。在纤维类型比例和相邻纤维数量方面进行了高精度的模拟。然后计算机计算模拟随机模式中每种不同纤维接触类别的频率。因此,可以将测量的纤维接触分布与模拟随机模式进行比较。在所研究的三块牛肌肉中,肌纤维类型的空间分布呈现出相似的模式。肌纤维明显倾向于被不同类型的纤维所包围。在所有三块肌肉中,测量值与模拟随机模式之间的差异具有统计学意义(p小于10(-3))。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验