考虑定位误差的单粒子轨迹的均方位移分析：各向同性介质中的布朗运动。
Mean square displacement analysis of single-particle trajectories with localization error: Brownian motion in an isotropic medium.
作者信息
Michalet Xavier
机构信息
Department of Chemistry & Biochemistry, University of California at Los Angeles, 607 Charles E. Young Drive E., Los Angeles, California 90095, USA.
出版信息
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Oct;82(4 Pt 1):041914. doi: 10.1103/PhysRevE.82.041914. Epub 2010 Oct 20.
Abstract
We examine the capability of mean square displacement (MSD) analysis to extract reliable values of the diffusion coefficient D of a single particle undergoing Brownian motion in an isotropic medium in the presence of localization uncertainty. The theoretical results, supported by simulations, show that a simple unweighted least-squares fit of the MSD curve can provide the best estimate of D provided an optimal number of MSD points are used for the fit. We discuss the practical implications of these results for data analysis in single-particle tracking experiments.
摘要
我们研究了均方位移（MSD）分析在存在定位不确定性的情况下，提取在各向同性介质中做布朗运动的单个粒子扩散系数D可靠值的能力。由模拟支持的理论结果表明，倘若为拟合使用最优数量的MSD点，MSD曲线的简单无加权最小二乘拟合能够提供D的最佳估计。我们讨论了这些结果对单粒子追踪实验数据分析的实际意义。
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Mean square displacement analysis of single-particle trajectories with localization error: Brownian motion in an isotropic medium.考虑定位误差的单粒子轨迹的均方位移分析：各向同性介质中的布朗运动。
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