Statistical analysis of molecule colocalization in bioimaging
Statistical analysis of molecule colocalization in bioimaging
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DOI：
10.1002/cyto.a.22629
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发表时间：
2015-06-01
期刊：
影响因子：
3.7
通讯作者：
Olivo-Marin, Jean-Christophe
中科院分区：
文献类型：
--
作者：
Lagache, Thibault;Sauvonnet, Nathalie;Olivo-Marin, Jean-Christophe
生物成像中分子相互作用的定量分析是理解细胞过程的分子编排的关键，并且通常通过研究不同分子群体之间的空间共定位来实现。共定位方法传统上分为基于像素的方法和基于对象的方法，基于像素的方法从不同颜色通道中像素强度之间的重叠测量全局相关系数，基于对象的方法首先分割分子斑点，然后用二阶统计分析它们的空间分布。在这里，我们提出了这样的共定位方法的审查，并给出了在不同类型的生物应用程序和上下文的相对优势的定量比较。我们在合成图像和生物图像上显示，基于对象的方法在统计上比基于像素的方法更鲁棒，并且可以准确地量化共定位分子的数量。(c)2015年国际细胞计数促进学会
The quantitative analysis of molecule interactions in bioimaging is key for understanding the molecular orchestration of cellular processes and is generally achieved through the study of the spatial colocalization between the different populations of molecules. Colocalization methods are traditionally divided into pixel-based methods that measure global correlation coefficients from the overlap between pixel intensities in different color channels, and object-based methods that first segment molecule spots and then analyze their spatial distributions with second-order statistics. Here, we present a review of such colocalization methods and give a quantitative comparison of their relative merits in different types of biological applications and contexts. We show on synthetic and biological images that object-based methods are more robust statistically than pixel-based methods, and allow moreover to quantify accurately the number of colocalized molecules. (c) 2015 International Society for Advancement of Cytometry