Kunze K D, Herrmann W R, Meyer W
Arch Geschwulstforsch. 1978;48(2):131-9.
The image analysing method for automated cytologic prescreening is founded on the evaluation of epithelial cell nuclei in regularly stained and prepared smears. The technical equipment consists of a fast scanning microscope and a software-oriented computer. The device is able to isolate all objects present in the visual fields. Clumps, artefacts, detritus and other disturbing objects are eliminated. Among the cell nuclei the nonepithelial forms (histiocytes, leukocytes, lymphocytes) are distinguished from the epithelial ones. The latter are compared with a representative sample of normal epithelial cell nuclei, exactly classified by cytologists. All objects are described by 18 mathematically defined parameters. The results of classification is a statistical information on the probability of coincidence of an unknown case with the normal object sample. In addition the evaluation program provides the number of automatic isolated cell nuclei. By these informations it is possible to differentiate between positive (tumor-suspicious), negative and inadequate smears.
用于自动细胞学预筛查的图像分析方法基于对常规染色和制备的涂片上皮细胞核的评估。技术设备包括一台快速扫描显微镜和一台面向软件的计算机。该设备能够分离视野中存在的所有物体。团块、伪像、碎屑和其他干扰物体被消除。在细胞核中，非上皮形式（组织细胞、白细胞、淋巴细胞）与上皮细胞核区分开来。将后者与由细胞学家精确分类的正常上皮细胞核代表性样本进行比较。所有物体由18个数学定义的参数描述。分类结果是关于未知病例与正常物体样本相符概率的统计信息。此外，评估程序提供自动分离的细胞核数量。通过这些信息，可以区分阳性（可疑肿瘤）、阴性和不充分涂片。
