Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, USA; Área de Investigación Respiratoria, Departamento de Fisiopatología, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Uruguay.
Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, USA; Dipartimento di Fisica e Chimica, Università di Palermo, Italy.
Methods. 2018 May 1;140-141:74-84. doi: 10.1016/j.ymeth.2018.01.010. Epub 2018 Mar 1.
Image correlation analysis has evolved to become a valuable method of analysis of the diffusional motion of molecules in every points of a live cell. Here we compare the iMSD and the 2D-pCF approaches that provide complementary information. The iMSD method provides the law of diffusion and it requires spatial averaging over a small region of the cell. The 2D-pCF does not require spatial averaging and it gives information about obstacles for diffusion at pixel resolution. We show the analysis of the same set of data by the two methods to emphasize that both methods could be needed to have a comprehensive understanding of the molecular diffusional flow in a live cell.
图像相关分析已经发展成为分析活细胞中分子扩散运动的一种有价值的方法。在这里，我们比较了 iMSD 和 2D-pCF 方法，它们提供了互补的信息。iMSD 方法提供了扩散定律，它需要对细胞的小区域进行空间平均。2D-pCF 不需要空间平均，它以像素分辨率给出了扩散障碍的信息。我们通过两种方法对同一组数据进行分析，以强调这两种方法都可能需要对活细胞中的分子扩散流有一个全面的了解。
