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一种对大鼠背根神经节中特定神经元亚型数量和平均体积进行无偏且高效估计的方法。

A method for unbiased and efficient estimation of number and mean volume of specified neuron subtypes in rat dorsal root ganglion.

作者信息

Tandrup T

机构信息

Stereological Research Laboratory, University of Aarhus, Denmark.

出版信息

J Comp Neurol. 1993 Mar 8;329(2):269-76. doi: 10.1002/cne.903290208.

DOI:10.1002/cne.903290208
PMID:8454732
Abstract

By means of unbiased stereological principles and systematic sampling techniques, the number, the mean volume, and the distributions of neuron volumes of the A- and B-cells of the dorsal root ganglion have been estimated. The number of each neuron type was estimated from the product of the volume of the ganglion, obtained with the Cavalieri principle on serial sections of the ganglion, and the numerical density, obtained with optical dissectors on the same sections. The mean volume of the cell bodies of each type was estimated by applying the nucleator technique to the neurons sampled with the optical dissectors. The precision of the estimate in each animal was evaluated on the basis of the variation between animals. An optimal sampling scheme is described by which estimates of the total number, the mean volume, and the distribution of cell body volumes can be obtained in about 8 hours. In the right fifth lumbar dorsal root ganglion taken from four mature, male Wistar rats, the mean total number of neurons was found to be 17,900. Of these, 28% were A-cells, with a mean cell body volume of 53,400 microns3, and 70% were B-cells, with a mean cell body volume of 8,540 microns3. There was a considerable overlap between the volume distributions of the two cell types.

摘要

通过无偏倚的体视学原理和系统抽样技术,对背根神经节A细胞和B细胞的数量、平均体积以及神经元体积分布进行了估计。每种神经元类型的数量是根据神经节体积(通过对神经节连续切片应用卡瓦列里原理获得)与同一切片上用光学分割器获得的数值密度的乘积来估计的。每种类型细胞体的平均体积是通过对用光学分割器采样的神经元应用成核技术来估计的。根据不同动物之间的差异评估了每只动物估计值的精度。描述了一种最佳抽样方案,通过该方案可在约8小时内获得细胞总数、平均体积和细胞体体积分布的估计值。在取自4只成年雄性Wistar大鼠的右侧第五腰段背根神经节中,发现神经元的平均总数为17900个。其中,28%为A细胞,平均细胞体体积为53400立方微米,70%为B细胞,平均细胞体体积为8540立方微米。两种细胞类型的体积分布之间存在相当大的重叠。

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