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体视学分析中估计值的精度。

The precision of estimates in stereological analyses.

作者信息

West Mark J

出版信息

Cold Spring Harb Protoc. 2012 Sep 1;2012(9):937-49. doi: 10.1101/pdb.top071050.

Abstract

When quantifying the total volume, number, length, or surface of morphological features in complex structures such as the brain, it is neither desirable nor feasible to make absolute determinations of these parameters. It would take a lifetime to count all of the neurons or measure the total length of dendrites in many parts of the brain. Estimates based on a relatively small number of samples of even the most complex structures will suffice, if the estimates are unbiased and have a sufficient amount of precision. It is important to have an understanding of what the precision of an estimate actually means and how it can be calculated and altered, to optimize studies with regard to the number of individuals, sections, and probes used in an analysis. An optimal sampling scheme is one that involves a minimum of sampling but still provides enough precision to draw a conclusion with a predetermined level of confidence.

摘要

在对大脑等复杂结构中的形态特征的总体积、数量、长度或表面积进行量化时,对这些参数进行绝对测定既不可取也不可行。要数清大脑许多部位的所有神经元或测量树突的总长度,需要花费一生的时间。如果估计是无偏的且具有足够的精度,那么基于相对少量样本对即使是最复杂结构的估计也足够了。了解估计精度的实际含义以及如何计算和改变它很重要,以便在分析中就所使用的个体数量、切片数量和探针数量优化研究。最佳抽样方案是一种涉及最少抽样但仍能提供足够精度以在预定置信水平下得出结论的方案。

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