Computational Counting for a Quantitative Analysis of Cells in Histologically Prepared Brain Sections
Computational Counting for a Quantitative Analysis of Cells in Histologically Prepared Brain Sections
复制标题
用于对组织学制备的脑切片中的细胞进行定量分析的计算计数
DOI：
10.1016/s0925-2312(02)00736-1
复制
发表时间：
2002
期刊：
影响因子：
6
通讯作者：
E. Weiler
中科院分区：
文献类型：
--
作者：
A. Benali;I. Leefken;David Kastrup;E. Weiler
我们提出了一种可靠的方法，用于脑切片中不同抗体(NeuN、小白蛋白、GABA和c-Fos)的自动计数和Nissl染色。对染色后的切片图像进行二值化处理。然后使用通用的聚类算法对区域进行聚类。在仅选择适当大小的簇之后，对检测到的细胞体进行计数。该算法的参数是手动调整的，并且对于不同的探头保持不变。计算细胞计数方法提供了正确的计数结果，将计算结果与人类实验者获得的计数进行了比较，表明了这一点。
We propose a reliable method for automatic counting of cells in brain sections for different antibodies (NeuN, Parvalbumin, GABA and c-Fos) and Nissl-staining. The images of stained sections are binarized by thresholding. Then regions are clustered using a common clustering algorithm. After choosing only proper sized clusters the detected cell-bodies are counted. The parameters of the algorithm are adjusted manually and remain constant for different probes. The computational cell counting method provides correct counting results, shown by a comparison of computational results and counts gained by human experimenters.