Ploem J S, van Driel-Kulker A M, Ploem-Zaaijer J J
Department of Cytochemistry and Cytometry, University of Leiden, The Netherlands.
Pathol Res Pract. 1989 Nov;185(5):671-5. doi: 10.1016/S0344-0338(89)80214-6.
Image cytometry by means of LEYTAS features analysis of both fresh and archival cellular material. Although not as accurate in ploidy determination as flow cytometry, LEYTAS cytometry incorporates extensive artefact rejection algorithms, thereby allowing detection of low frequency cells. This feature is very useful for the search of rare cells, as e.g. in cervical screening, or for the quantitation of the number of high DNA content cells in the total cell sample. LEYTAS main components are an automated microscope (Autoplan) and a Modular Image Analysis Computer (MIAC), both from Wild Leitz (W-Germany). This paper discusses LEYTAS instrumentation and cell analysis by means of programs especially written for LEYTAS.
通过LEYTAS进行的图像细胞术可对新鲜和存档细胞材料进行特征分析。尽管在倍性测定方面不如流式细胞术准确，但LEYTAS细胞术采用了广泛的伪像排除算法，从而能够检测低频细胞。这一特性对于寻找稀有细胞非常有用，例如在宫颈筛查中，或者用于定量总细胞样本中高DNA含量细胞的数量。LEYTAS的主要组件是一台自动显微镜（Autoplan）和一台模块化图像分析计算机（MIAC），两者均来自德国维尔茨堡的Wild Leitz公司。本文将通过专门为LEYTAS编写的程序来讨论LEYTAS仪器和细胞分析。
