On the pixel selection criterion for the calculation of the Pearson's correlation coefficient in fluorescence microscopy.
On the pixel selection criterion for the calculation of the Pearson's correlation coefficient in fluorescence microscopy.
复制标题
关于荧光显微镜中皮尔逊相关系数计算的像素选择标准。
DOI:
10.1111/jmi.13273
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发表时间:
2024
影响因子:
2
通讯作者:
Lopez SG
中科院分区:
文献类型:
--
作者:
Lopez SG
Colocalisation microscopy analysis provides an intuitive and straightforward way of determining if two biomolecules occupy the same diffraction‐limited volume. A popular colocalisation coefficient, the Pearson's correlation coefficient (PCC), can be calculated using different pixel selection criteria: PCCALLincludes all image pixels, PCCORonly pixels exceeding the intensity thresholds for either one of the detection channels, and PCCANDonly pixels exceeding the intensity thresholds for both detection channels. Our results show that PCCALLdepends on the foreground to background ratio, producing values influenced by factors unrelated to biomolecular association. PCCANDfocuses on areas with the highest intensities in both channels, which allows it to detect low levels of colocalisation, but makes it inappropriate for evaluating spatial cooccurrence between the signals. PCCORproduces values influenced both by signal proportionality and spatial cooccurrence but can sometimes overemphasise the lack of the latter. Overall, PCCANDexcels at detecting low levels of colocalisation, PCCORprovides a balanced quantification of signal proportionality and spatial coincidence, and PCCALLrisks misinterpretation yet avoids segmentation challenges. Awareness of their distinct properties should inform their appropriate application with the aim of accurately representing the underlying biology.
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影响因子:
--
作者:
M. Hink;Marten Postma
通讯作者:
Marten Postma
DOI:
10.1101/2021.12.17.473169
发表时间:
2021
期刊:
--
影响因子:
--
作者:
Hartley M
通讯作者:
Hartley M
影响因子:
3.7
作者:
Hageberg,Ingvild U.;Arja,Katrianne;Lindgren,Mikael
通讯作者:
Lindgren,Mikael
影响因子:
3
作者:
Arru, Caterina;Serra, Elisa;Gadau, Sergio D.
通讯作者:
Gadau, Sergio D.
影响因子:
21.3
作者:
Stoldt, Stefan;Wenzel, Dirk;Jakobs, Stefan
通讯作者:
Jakobs, Stefan