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 language | English |
|---|---|
| Pages (from-to) | 2174-2180 |
| Number of pages | 7 |
| Journal | Soft Matter |
| Volume | 13 |
| Issue number | 11 |
| DOIs | |
| State | Published - 2017 |
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Sarfati, R., Bławzdziewicz, J., & Dufresne, E. R. (2017). Maximum likelihood estimations of force and mobility from single short Brownian trajectories. Soft Matter, 13(11), 2174-2180. https://doi.org/10.1039/c7sm00174f