Bacus J W, Weens J H
J Histochem Cytochem. 1977 Jul;25(7):614-32. doi: 10.1177/25.7.330716.
A method of automated red cell analysis suitable for the rapid classification of large numbers of red cells from individual blood specimens has been developed, and preliminarily tested on normal bloods and clinically proven cases of anemias and red cell disorders. According to this method digital image processing techniques provide several features relating to shape and internal central pallor configurations of red cells. These features are used with a fully automated decision logic to rapidly provide a quantitative "red cell differential" analysis, a report of the percentage subpopulations of recognized categories of red cells. For each subpopulation, measurements of mean cell area, mean cell hemoglobin content and mean cell hemoglobin density are provided. The nine types of red cell disorders studied with this method were: (a) iron deficiency anemia, (b) the anemia of chronic disease, (c) beta-thalassemia trait, (d) sickle cell anemia, (e) hemoglobin C disease, (f) intravascular hemolysis, (g) hereditary elliptocytosis, (h) hereditary spherocytosis, and (i) megaloblastic anemia due to folic acid deficiency. Preliminary indications are that the red cell differential is useful in distinguishing between these conditions.
已开发出一种适用于对个体血液样本中的大量红细胞进行快速分类的自动红细胞分析方法，并已在正常血液以及经临床证实的贫血和红细胞疾病病例上进行了初步测试。根据该方法，数字图像处理技术可提供与红细胞形状和内部中心苍白形态相关的若干特征。这些特征与全自动决策逻辑一起用于快速提供定量的“红细胞分类”分析，即一份关于已识别红细胞类别亚群百分比的报告。对于每个亚群，还提供平均细胞面积、平均细胞血红蛋白含量和平均细胞血红蛋白密度的测量值。用该方法研究的九种红细胞疾病类型为：(a)缺铁性贫血，(b)慢性病贫血，(c)β地中海贫血特征，(d)镰状细胞贫血，(e)血红蛋白C病，(f)血管内溶血，(g)遗传性椭圆形红细胞增多症，(h)遗传性球形红细胞增多症，以及(i)叶酸缺乏导致的巨幼细胞贫血。初步迹象表明，红细胞分类在区分这些病症方面是有用的。
