Department of Mathematics and Computer Science, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark.
Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark.
Sci Rep. 2018 Jan 23;8(1):1387. doi: 10.1038/s41598-018-19159-7.
Fluorescence loss in photobleaching (FLIP) is a modern microscopy method for visualization of transport processes in living cells. This paper presents the simulation of FLIP sequences based on a calibrated reaction-diffusion system defined on segmented cell images. By the use of a discontinuous Galerkin method, the computational complexity is drastically reduced compared to continuous Galerkin methods. Using this approach on green fluorescent protein (GFP), we can determine its intracellular diffusion constant, the strength of localized hindrance to diffusion as well as the permeability of the nuclear membrane for GFP passage, directly from the FLIP image series. Thus, we present for the first time, to our knowledge, a quantitative computational FLIP method for inferring several molecular transport parameters in parallel from FLIP image data acquired at commercial microscope systems.
荧光损失光漂白(FLIP)是一种现代显微镜方法,用于可视化活细胞中的运输过程。本文提出了基于分段细胞图像上定义的校准反应扩散系统的 FLIP 序列模拟。通过使用不连续 Galerkin 方法,与连续 Galerkin 方法相比,计算复杂度大大降低。使用这种方法对绿色荧光蛋白(GFP)进行分析,我们可以直接从 FLIP 图像序列中确定其细胞内扩散常数、局部扩散障碍的强度以及 GFP 通过核膜的通透性。因此,我们首次提出了一种定量计算 FLIP 方法,可以从商业显微镜系统获取的 FLIP 图像数据中并行推断出几个分子运输参数。