Knowing what counts: unbiased stereology in the non-human primate brain.
Knowing what counts: unbiased stereology in the non-human primate brain.
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DOI：
10.3791/1262
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发表时间：
2009-05-14
期刊：
影响因子：
--
通讯作者：
Ptito, Maurice
中科院分区：
文献类型：
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作者：
Burke, Mark;Zangenehpour, Shahin;Ptito, Maurice
非人类灵长类动物是了解人类大脑正常功能和疾病过程的重要翻译物种。无偏立体学是一种被公认为最先进的组织切片生物物体量化方法，它可以为哺乳动物大脑的生物特征产生可靠的结构数据。该方法的关键组成部分是对解剖学定义的结构（参考空间）进行无偏（系统随机）采样，并结合参考空间内生物物体的细胞数量和大小、纤维和毛细长度、表面积、区域体积和空间分布的量化。与以前的方法相比，这些立体方法的优点之一是避免了由错误假设和不可验证模型引起的所有已知的系统（非随机）误差来源。本研究记录了计算机立体学的生物学应用，在两个商业立体学程序BioQuant Life Sciences和Stereologer的帮助下，估计了黑尾猴大脑额叶皮层（Chlorocebus aethiops sabeus）的神经元总数（图1）。除了对比和比较BioQuant和Stereologer系统的结果外，本研究还提供了Stereologer系统的详细方案。
The non-human primate is an important translational species for understanding the normal function and disease processes of the human brain. Unbiased stereology, the method accepted as state-of-the-art for quantification of biological objects in tissue sections, generates reliable structural data for biological features in the mammalian brain. The key components of the approach are unbiased (systematic-random) sampling of anatomically defined structures (reference spaces), combined with quantification of cell numbers and size, fiber and capillary lengths, surface areas, regional volumes and spatial distributions of biological objects within the reference space. Among the advantages of these stereological approaches over previous methods is the avoidance of all known sources of systematic (non-random) error arising from faulty assumptions and non-verifiable models. This study documents a biological application of computerized stereology to estimate the total neuronal population in the frontal cortex of the vervet monkey brain (Chlorocebus aethiops sabeus), with assistance from two commercially available stereology programs, BioQuant Life Sciences and Stereologer (Figure 1). In addition to contrast and comparison of results from both the BioQuant and Stereologer systems, this study provides a detailed protocol for the Stereologer system.