共域化
皮尔逊积矩相关系数
相关系数
相关性
荧光
生物系统
显微镜
统计
物理
模式识别(心理学)
光学
数学
生物
人工智能
计算机科学
分子生物学
几何学
作者
Andrew L. Barlow,Alasdair Macleod,Sam Noppen,Jeremy Sanderson,Christopher J. Guérin
标识
DOI:10.1017/s143192761009389x
摘要
One of the most routine uses of fluorescence microscopy is colocalization, i.e., the demonstration of a relationship between pairs of biological molecules. Frequently this is presented simplistically by the use of overlays of red and green images, with areas of yellow indicating colocalization of the molecules. Colocalization data are rarely quantified and can be misleading. Our results from both synthetic and biological datasets demonstrate that the generation of Pearson's correlation coefficient between pairs of images can overestimate positive correlation and fail to demonstrate negative correlation. We have demonstrated that the calculation of a thresholded Pearson's correlation coefficient using only intensity values over a determined threshold in both channels produces numerical values that more accurately describe both synthetic datasets and biological examples. Its use will bring clarity and accuracy to colocalization studies using fluorescent microscopy.
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