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单粒子追踪。二维系统中扩散与流动的分析。

Single particle tracking. Analysis of diffusion and flow in two-dimensional systems.

作者信息

Qian H, Sheetz M P, Elson E L

机构信息

Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri 63110.

出版信息

Biophys J. 1991 Oct;60(4):910-21. doi: 10.1016/S0006-3495(91)82125-7.

Abstract

Analysis of the trajectories of small particles at high spatial and temporal resolution using video enhanced contrast microscopy provides a powerful approach to characterizing the mechanisms of particle motion in living cells and in other systems. We present here the theoretical basis for the analysis of these trajectories for particles undergoing random diffusion and/or systematic transport at uniform velocity in two-dimensional systems. The single particle tracking method, based on observations of the trajectories of individual particles, is compared with methods that characterize the motions of a large collection of particles such as fluorescence photobleaching recovery. Determination of diffusion coefficients or transport velocities either from correlation of positions or of velocities of the particles is discussed. A result of practical importance is an analysis of the dependence of the expected statistical uncertainty of these determinations on the number of position measurements. This provides a way of judging the accuracy of the diffusion coefficients and transport velocities obtained using this approach.

摘要

使用视频增强对比度显微镜以高空间和时间分辨率分析小颗粒的轨迹,为表征活细胞和其他系统中颗粒运动的机制提供了一种强大的方法。我们在此给出在二维系统中经历随机扩散和/或以均匀速度进行系统运输的颗粒轨迹分析的理论基础。基于对单个颗粒轨迹的观察的单颗粒跟踪方法,与表征大量颗粒运动的方法(如荧光光漂白恢复)进行了比较。讨论了从颗粒位置或速度的相关性确定扩散系数或运输速度的方法。一个具有实际重要性的结果是分析这些测定的预期统计不确定性对位置测量次数的依赖性。这提供了一种判断使用该方法获得的扩散系数和运输速度准确性的方法。

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