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Mean square displacement analysis of single-particle trajectories with localization error: Brownian motion in an isotropic medium.


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.

SUBMITTER: Michalet X 

PROVIDER: S-EPMC3055791 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature

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Mean square displacement analysis of single-particle trajectories with localization error: Brownian motion in an isotropic medium.

Michalet Xavier X  

Physical review. E, Statistical, nonlinear, and soft matter physics 20101020 4 Pt 1


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 th  ...[more]

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