FLOPTICS:一种新的流式细胞术数据自动门控技术

Wiwat Sriphum, G. Wills, N. Green
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引用次数: 0

摘要

门控是对流式细胞术获得的数据进行细胞分化的过程。流式细胞术(FCM)是一种提供血液样本中单个细胞特征的荧光概念技术。该方法得到的多维数据集庞大而复杂,人工分析困难,耗时长。门控是FCM数据分析的第一步,具有很强的主观性。尽管许多研究试图减少这种主观性,但仍然需要更标准和更快的门控技术。现有的自动化门控技术需要许多用户自定义的参数,不同的参数值会导致不同的结果。有些技术存在耗时的问题。FLOPTICS是一种新型的自动门控技术,它结合了基于密度和基于网格的聚类算法。与FlowGrid、FlowPeaks和FLOCK等先进技术相比,FLOPTICS能够更快地对FCM数据上的细胞进行分类,并且用户定义的参数更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FLOPTICS: A Novel Automated Gating Technique for Flow Cytometry Data
Gating is a process of cell differentiation of the data obtaining from flow cytometry technique. Flow cytometry (FCM) is a fluorescence concept technique that provide characteristics of individual cells in blood sample. A multidimensional dataset obtained from this method is large and complex so it is difficult to manually analysis and time consuming. Gating is the first step of FCM data analysis and highly subjective. Although many research attempted to reduce this subjectivity, more standard and faster gating technique is still needed. Some existing automated gating technique need many user-defined parameters that can lead to different results for different parameter values. Some techniques have a trouble with time consuming. FLOPTICS is a novel automated gating technique that is a combination of density-based and grid-based clustering algorithms. FLOPTICS has an ability to classify cell on FCM data faster and less user-defined parameter than some of state of art technique such as FlowGrid, FlowPeaks, and FLOCK.
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