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Issue 11, 2017
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Maximum likelihood estimations of force and mobility from single short Brownian trajectories

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Abstract

We describe a method to extract force and diffusion parameters from single trajectories of Brownian particles. The analysis, based on the principle of maximum likelihood, is well-suited for out-of-equilibrium trajectories, even when a limited amount of data is available and the dynamical parameters vary spatially. We substantiate this method with experimental and simulated data, and discuss its practical implementation, strengths, and limitations.

Graphical abstract: Maximum likelihood estimations of force and mobility from single short Brownian trajectories

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Article information


Submitted
23 Jan 2017
Accepted
17 Feb 2017
First published
20 Feb 2017

Soft Matter, 2017,13, 2174-2180
Article type
Paper

Maximum likelihood estimations of force and mobility from single short Brownian trajectories

R. Sarfati, J. Bławzdziewicz and E. R. Dufresne, Soft Matter, 2017, 13, 2174
DOI: 10.1039/C7SM00174F

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