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A simple stereologic method for analysis of cerebral cortical microvessels using image analysis.

机译:使用图像分析分析大脑皮层微血管的简单立体方法。

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Previous methods for determining morphological features of vascular networks in cerebral cortex were subject to arbitrary variation and bias. Unbiased estimates of vessel number, volume, surface area and length can be obtained using stereology but these techniques tend to be tedious and time-consuming. Stereologic protocols generally require micrographs that have to be analyzed manually for intersections of vessels on grid points or lines. In this report, we provide a simpler and more precise method for measuring morphological features of cerebral cortical microvessels. Images of microvessels in 1 microm toluidine blue stained sections were captured using a popular image analysis software package. Luminal surfaces of endothelial cells were automatically traced using commonly available features; the two-dimensional data of vessels (diameter, area, perimeter and number of vessels) were automatically computed and transferred to a spreadsheet. Three-dimensional features were then determined using basic stereologic equations. The method eliminates the need for manual measurements and is particularly time- and cost-effective for quantitative studies where numerous images have to be evaluated.
机译:先前确定大脑皮层血管网络形态特征的方法会受到任意变化和偏差的影响。可以使用立体学获得对血管数量,体积,表面积和长度的无偏估计,但是这些技术往往很繁琐且耗时。体视学协议通常需要显微照片,必须手动分析显微照片以找到网格点或线上的血管交叉点。在本报告中,我们提供了一种更简单,更精确的方法来测量大脑皮层微血管的形态特征。使用流行的图像分析软件包捕获1微米甲苯胺蓝染色切片中的微血管图像。使用普遍可用的功能自动跟踪内皮细胞的腔表面。自动计算容器的二维数据(直径,面积,周长和容器数量),并将其传输到电子表格中。然后使用基本的立体方程确定三维特征。该方法消除了手动测量的需要,对于需要评估大量图像的定量研究特别节省时间和成本。

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