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

Raphael Sarfati, Jerzy Bławzdziewicz, Eric R. Dufresne

Research output: Contribution to journalArticle

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)2174-2180
Number of pages7
JournalSoft Matter
Volume13
Issue number11
DOIs
StatePublished - 2017

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