Analysis of mylenated nerve fibers using an image acquisition system

David M. Johnson, Mark B. Wehde, P. Dyck, JaNean K. Engelsted, J. Davies
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Abstract

A system to evaluate and follow morphologic changes in number, size, shape and other histological measurements of transverse myelinated fiber profiles in nerves and fiber tracts has proven to be a useful analysis tool. Applications of the system include the enumeration and sizing of peripheral nerves and central nervous system tracts for the morphologic study of development, aging, regeneration, neurotoxicity, pathologic conditions, also, the morphometric assessment of intra-epidermal nerve fiber densities, IENFD. The primary aim of the system is to provide both an operator-interactive and automated method for the detection, sizing and measurement of myelinated fibers. The system, Imaging System for Nerve Morphometry, was shown, to provide the specific functionality required to perform morphometric studies of peripheral nerve, compared to commercial systems which perform a more general estimate of histological features. The system consists of the tissue preparation process, a video camera-ready microscope capable of various resolutions, and a computer system for image acquisition, data analysis, data display and statistical analysis. The morphometric measurements obtained from this system have been used for quality control by clinical nerve pathologists, in the study of human peripheral neuropathies and the clinical assessment of IENFDs. In assessment of test retest reproducibility of periodically-sampled nerves, high degrees of reproducibility were achieved for most morphometric measurements.
用图像采集系统分析髓系神经纤维
一种评估和跟踪神经和纤维束中横髓鞘纤维数量、大小、形状和其他组织学测量的形态学变化的系统已被证明是一种有用的分析工具。该系统的应用包括周围神经和中枢神经束的计数和大小,用于发育,衰老,再生,神经毒性,病理状况的形态学研究,以及表皮内神经纤维密度的形态计量学评估。该系统的主要目的是为髓鞘纤维的检测、上浆和测量提供一种操作人员互动和自动化的方法。与商业系统相比,该系统,神经形态测量成像系统,被证明提供了执行周围神经形态测量研究所需的特定功能,而商业系统则执行更一般的组织学特征估计。该系统由组织制备过程、具有各种分辨率的摄像机显微镜和用于图像采集、数据分析、数据显示和统计分析的计算机系统组成。该系统获得的形态学测量结果已被临床神经病理学家用于质量控制,用于人类周围神经病变的研究和ienfd的临床评估。在评估周期性采样神经的测试复测再现性时,大多数形态学测量都实现了高度的再现性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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