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通过对扫描显微光度法数字化数据的计算机分析鉴别人类T淋巴细胞和B淋巴细胞。II. 鉴别与自动分类

Discrimination between human T and B lymphocytes by computer analysis of digitized data from scanning microphotometry. II. Discrimination and automated classification.

作者信息

Bartels P H, Chen Y P, Durie B G, Olson G B, Vaught L, Salmon S E

出版信息

Acta Cytol. 1978 Nov-Dec;22(6):530-7.

PMID:367028
Abstract

Human B and T lymphocytes were purified and stained according to the Feulgen procedure. Stained preparations were scanned on a microphotometer and the digitized images were processed by analytical programs on a computer. Features of the cells relating to the chromatin distribution were extracted. Computer algorithms automatically derive classification rules and a machine recognition of B cells and T cells results in better than 80% correct assignments. The image data reveal a rich feature structure within both the purified B and T cell populations. Each population appears to contain several subpopulations of cells with distinctive and different chromatin texture.

摘要

人类B淋巴细胞和T淋巴细胞按照福尔根程序进行纯化和染色。对染色后的标本在显微光度计上进行扫描,并通过计算机上的分析程序对数字化图像进行处理。提取与染色质分布相关的细胞特征。计算机算法自动推导分类规则,对B细胞和T细胞的机器识别准确率超过80%。图像数据显示,纯化后的B细胞群和T细胞群都具有丰富的特征结构。每个细胞群似乎都包含几个具有独特且不同染色质纹理的亚群。

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