Durie B G, Vaught L, Chen Y P, Olson G B, Salmon S E, Bartels H
Blood. 1978 Apr;51(4):579-89.
Digitized images of Feulgen-stained normal human B and T lymphocytes and monocytes were analyzed by computer and microphotometry. The algorithms assessed the chromatin distribution patterns. A substantial number of parameters descriptive of the chromatin distributions were found to show statistically highly significant differences between B and T cells and monocytes. Although the effects of a number of biologic variables, such as cell cycle phase and immune stimulation, need to be carefully evaluated, the preliminary results indicate potential for automatic classification and subclassification of human B and T lymphocytes in normal and disease states.
通过计算机和显微光度测定法对福尔根染色的正常人B淋巴细胞、T淋巴细胞和单核细胞的数字化图像进行了分析。这些算法评估了染色质分布模式。结果发现,大量描述染色质分布的参数在B细胞、T细胞和单核细胞之间显示出具有统计学高度显著性的差异。尽管一些生物学变量的影响,如细胞周期阶段和免疫刺激,需要仔细评估,但初步结果表明在正常和疾病状态下对人B淋巴细胞和T淋巴细胞进行自动分类和亚分类具有潜力。