Sometimes Simpler Is Better: VLog, a General but Easy-to-Implement Log-Like Transform for Cytometry

Sometimes Simpler Is Better: VLog, a General but Easy-to-Implement Log-Like Transform for Cytometry
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DOI:
10.1002/cyto.a.23017
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发表时间:
2016-12-01
期刊:
影响因子:
3.7
通讯作者:
Hunsberger, Benjamin C.
Hunsberger, Benjamin C.
中科院分区:
生物学4区
文献类型:
--
作者:
Bagwell, C. Bruce;Hill, Beth L.;Hunsberger, Benjamin C.

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对数和类对数变换用于细胞计数的基本目的是使测量的群体变异性尽可能均匀。对数变换的长期成功在于其稳定线性增加的增益相关不确定性的能力,而类对数变换的成功在于它们将这一概念扩展到包括零和负测量值。本研究推导并检查了一种称为VLog的变换,该变换稳定了三种一般的变异性来源:(1)增益相关变异性,(2)光电子计数误差,以及(3)信号无关误差来源。令人惊讶的是,这个转换有一个封闭形式的解决方案,因此实现起来相对简单。通过在其公式中包含一些定量元素,形状相关参数alpha和beta通常不需要针对不同的数据集进行优化。变换的简单性和通用性可能使其成为细胞计数和可能的其他技术的有用工具。(C)2016年国际细胞计数促进学会
The fundamental purpose of log and log-like transforms for cytometry is to make measured population variabilities as uniform as possible. The long-standing success of the log transform was its ability to stabilize linearly increasing gain-dependent uncertainties and the success of the log-like transforms is that they extend this notion to include zero and negative measurement values. This study derives and examines a transform called VLog that stabilizes the three general sources of variability: (1) gain-dependent variability, (2) photo-electron counting error, and (3) signal-independent sources of error. Somewhat surprisingly, this transform has a closed-form solution and therefore is relatively simple to implement. By including some quantitation elements in its formulation, the shape-dependent arguments, alpha and beta, usually do not require optimization for different datasets. The simplicity and generality of the transform may make it a useful tool for cytometry and possibly other technologies. (C) 2016 International Society for Advancement of Cytometry