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用于区分白血病患者外周血涂片单核细胞的计算机辅助图像分析

Computer-aided image analysis for the differentiation of mononuclear cells in peripheral blood smears from leukemic patients.

作者信息

Gunzer U, Harms H, Haucke M, Aus H M, ter Meulen V

出版信息

Anal Quant Cytol. 1981 Mar;3(1):26-32.

PMID:7015941
Abstract

Different leukemias originating from the lymphatic system and from the myeloid tissue of the bone marrow were selected to develop and test algorithms to cytophotometrically define leukemic cells. Two of these cases were of low-grade, one of intermediate-grade and one of high-grade malignancy. The malignant cell types of each leukemic form could be identified and characterized by assessing the chromatin texture of the nucleus in the leukemic cells. With this method, normal peripheral white blood cells could be differentiated from leukemic ones. The results correlate directly with established hematologic parameters as they are described in the literature. The investigation demonstrated the usefulness of computer methods in the differentiation of closely related cell structures.

摘要

选择源自淋巴系统和骨髓髓组织的不同白血病来开发和测试用于细胞光度法定义白血病细胞的算法。其中两例为低级别,一例为中级别,一例为高级别恶性肿瘤。通过评估白血病细胞核的染色质结构,可以识别和表征每种白血病形式的恶性细胞类型。用这种方法,可以将正常外周血白细胞与白血病细胞区分开来。结果与文献中描述的既定血液学参数直接相关。该研究证明了计算机方法在区分密切相关细胞结构方面的有用性。

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