Mean Square Displacement Analysis of Single-Particle Trajectories with Localization Error: Brownian Motion in Isotropic Medium

By X. Michalet. Physical review. E, Statistical, nonlinear, and soft matter physics, 2010

635 citations recorded by the source corpus.

We examine the capability of mean square displacement analysis to extract reliable values of the diffusion coefficient D of 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 square fit of the MSD curve can provide the best estimate of D provided an optimal number of MSD points is used for the fit. We discuss the practical implications of these results for data analysis in single-particle tracking experiments.

Subfields: Biophysics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/16140ac01e7ab4817c7ac3cdb59b67fa928ec3a0

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In Biophysics

1. J. A. Torreno-Pina
2. Maciej Lewenstein
3. Carlo Manzo
4. G. Lapeyre
5. P. Massignan
6. M. F. G. Parajo

In Radiology, Nuclear Medicine and Imaging

1. J. A. Torreno-Pina
2. Maciej Lewenstein
3. Carlo Manzo
4. G. Lapeyre
5. P. Massignan
6. M. F. G. Parajo

Citations in the corpus

• Weak Ergodicity Breaking of Receptor Motion in Living Cells Stemming from Random Diffusivity (2014, methodology): “For each dynamical region identified by the algorithm, the short-time diffusion coefficient is calculated from a linear fit of the first 10% of the points of the corresponding MSD curves [37].”