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1. 发明申请

US20080172185A1 AUTOMATIC CLASSIFYING METHOD, DEVICE AND SYSTEM FOR FLOW CYTOMETRY 审中-公开
标题翻译：自动分类方法，流式细胞仪的装置和系统
公开(公告)号：US20080172185A1
公开(公告)日：2008-07-17
申请号：US11966703
申请日：2007-12-28
申请人： Hanping Yi , Jianjun Chu , Wen Gu
发明人： Hanping Yi , Jianjun Chu , Wen Gu
IPC分类号： G01N33/48
CPC分类号： G01N33/5005
摘要： An automatic classification method for flow cytometry includes characterizing cells or particles as a vector based on at least two-path optical signals generated when the cells or particles pass through an irradiated area one by one, calculating a distance between the effective cells or particles, in which a shorter distance indicates a higher similarity between the two cells or particles, clustering the cells or particles with high similarity into the same class, continuing to cluster similar cells or particles into the same class until the effective cells or particles are clustered into a number L of classes which should be contained in a sample and is determined based on a measuring principle. This method automatically classifies particles accurately and efficiently.
摘要翻译：用于流式细胞术的自动分类方法包括基于当细胞或颗粒逐个通过照射区域时产生的至少两路光学信号来表征细胞或颗粒作为载体，计算有效细胞或颗粒之间的距离，较短的距离表示两个细胞或颗粒之间的相似性较高，将具有高相似性的细胞或颗粒聚集成相同的类别，继续将相似的细胞或颗粒聚集到相同的类别中，直到有效细胞或颗粒聚集成数 L应该包含在样本中并且基于测量原理确定的类。该方法可以自动对粒子进行准确高效的分类。

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