通过图像分析来评估低细胞密度组织中细胞数量的标准化自动程序:在斯塔格突变小鼠小脑中的应用。

Microscopica acta Pub Date : 1982-07-01
R Gardette, R Joubert, J C Bisconte
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引用次数: 0

摘要

为了在低细胞密度组织中获得可靠和快速的定量,我们开发了一种基于图像分析的标准化程序。描述了定量的连续步骤,从必要的组织学程序开始,以所需的定量参数结束。除了组织学步骤外,我们已经尝试了所有实验的后续步骤自动化,特别是图像分析仪TAS (Leitz)的数据采集,以及PDP 11-34计算机对这些数据的存储和分析。通过这种方法计算的最终参数是所研究器官内的细胞总数和细胞密度,可以是所有细胞,也可以是不同类型的细胞。该方法已应用于成年斯塔格突变小鼠小脑细胞的定量研究,并给出了结果。
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A standardized automatic procedure to evaluate cell numbers in low cell density tissues by image analysis: application to the Staggerer mutant mouse cerebellum.

To obtain a reliable and fast quantification in low cell density tissues, we have developed a standardized procedure based on image analysis. The successive steps of quantification, starting with the necessary histological procedure and ending with the desired quantitative parameters, are described. Excepting the histological procedure, we have attempted to automate all the subsequent steps of the experiment, especially the acquisition of the data by an image analyser TAS (Leitz), and the storage and the analysis of these data by a PDP 11-34 computer. The final parameters calculated by such a method are the total number of cells and the cell density within the organ under study, either for all the cells, or for different cellular categories. This procedure has been applied to the quantitative study of cerebellar cells of an adult Staggerer mutant mouse and the results obtained are presented.

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