Lampariello F
Istituto di Analisi dei Sistemi ed Informatica del CNR, Roma, Italy.
Cytometry. 1994 Apr 1;15(4):294-301. doi: 10.1002/cyto.990150404.
A method for automated evaluation of the percentage of positive cells from flow cytometric immunofluorescence histograms is presented. The method is based on a suitable mathematical representation of cellular autofluorescence distribution which is used to identify the negative cell distribution in the test histogram. An algorithm is developed and implemented in a computer program that quantifies the positive cells from the routinely available control and test histograms. Its accuracy is compared to that of the other currently used automated methods of analysis on the basis of a set of histograms with overlapping distributions and with known percentages of positive cells, generated by artificial mixing of real data.
本文提出了一种用于自动评估流式细胞免疫荧光直方图中阳性细胞百分比的方法。该方法基于细胞自发荧光分布的合适数学表示，用于识别测试直方图中的阴性细胞分布。开发了一种算法并在计算机程序中实现，该算法可从常规可用的对照和测试直方图中量化阳性细胞。基于通过真实数据人工混合生成的一组具有重叠分布和已知阳性细胞百分比的直方图，将其准确性与当前使用的其他自动分析方法的准确性进行了比较。
