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A method improving the accuracy of fluorescence recovery after photobleaching analysis.

机译:一种提高光漂白分析后荧光恢复精度的方法。

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摘要

Fluorescence recovery after photobleaching has been an established technique of quantifying the mobility of molecular species in cells and cell membranes for more than 30 years. However, under nonideal experimental conditions, the current methods of analysis still suffer from occasional problems; for example, when the signaloise ratio is low, when there are temporal fluctuations in the illumination, or when there is bleaching during the recovery process. We here present a method of analysis that overcomes these problems, yielding accurate results even under nonideal experimental conditions. The method is based on circular averaging of each image, followed by spatial frequency analysis of the averaged radial data, and requires no prior knowledge of the shape of the bleached area. The method was validated using both simulated and experimental fluorescence recovery after photobleaching data, illustrating that the diffusion coefficient of a single diffusing component can be determined to within approximately 1%, even for small signal levels (100 photon counts), and that at typical signal levels (5000 photon counts) a system with two diffusion coefficients can be analyzed with <10% error.
机译:光漂白后的荧光恢复已成为量化分子在细胞和细胞膜中活动性的一项成熟技术,已有30多年的历史了。但是,在非理想的实验条件下,当前的分析方法仍然会遇到一些偶然的问题。例如,当信噪比低时,照明中存在时间波动时或恢复过程中出现漂白时。我们在这里提出了一种克服这些问题的分析方法,即使在非理想的实验条件下也能得出准确的结果。该方法基于每个图像的圆形平均,然后对平均径向数据进行空间频率分析,并且不需要对漂白区域的形状有先验知识。光漂白数据后使用模拟和实验荧光回收率对该方法进行了验证,表明即使对于小信号水平(100个光子计数),对于典型信号,单个扩散组分的扩散系数也可以确定在约1%以内。一个具有两个扩散系数的系统的水平(5000个光子计数)可以分析,误差小于10%。

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