Glaser J R, Glaser E M
MicroBrightField, Inc., 74 Hegeman Ave., Colchester, VT 05446, USA.
J Chem Neuroanat. 2000 Oct;20(1):115-26. doi: 10.1016/s0891-0618(00)00073-9.
The latest developments in computer-based stereology build upon the similarities of classical stereology and computer microscopy to provide refined and effective spatial analyses that also permit mapping of anatomical regions. Classical stereology and computer microscopy have developed along independent pathways as methodologies to provide a quantitative understanding of the structure of the brain. They approach brain morphology and brain morphometry from different points of view. On one hand, stereology has concentrated upon the unbiased numerical estimation of parameters, such as length, area, volume, and population size that characterize entire regions of the brain, e.g. hippocampus, as well as individual elements within them, e.g. cell volume. On the other hand, computer microscopy has concentrated upon providing accurate three-dimensional maps of the morphology of entire regions of the brain as well as of individual elements within them, e.g. neuronal dendrite and axon systems. The differences in point of view are not so extensive as to keep the two methodologies separate. They share, after all, a similar manner of controlling microscope data input and analyzing the images the microscope provides. The incorporation of data archiving permits easier access to previous studies, as well as the sharing of stereological findings and their related maps throughout the scientific community. Some of the stereological systems now integrate spatial mapping with stereological analyses to provide more comprehensive methods to analyze brain tissue.
基于计算机的体视学的最新进展建立在经典体视学和计算机显微镜学的相似性基础之上，以提供精细且有效的空间分析，这种分析还能对解剖区域进行映射。经典体视学和计算机显微镜学作为对大脑结构进行定量理解的方法，沿着独立的路径发展。它们从不同的角度研究脑形态学和脑形态测量学。一方面，体视学专注于对参数进行无偏数值估计，这些参数如长度、面积、体积和群体大小，用于描述大脑的整个区域，如海马体，以及其中的单个元素，如细胞体积。另一方面，计算机显微镜学专注于提供大脑整个区域以及其中单个元素，如神经元树突和轴突系统的形态的精确三维图谱。观点上的差异并没有大到使这两种方法完全分开。毕竟，它们在控制显微镜数据输入以及分析显微镜提供的图像方面有着相似的方式。数据存档的纳入使得更容易获取以前的研究，以及在整个科学界共享体视学研究结果及其相关图谱。现在一些体视学系统将空间映射与体视学分析相结合，以提供更全面的方法来分析脑组织。
