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The European Physical Journal Special Topics

, Volume 224, Issue 7, pp 1151–1168 | Cite as

Estimation of motility parameters from trajectory data

A condensate of our recent results
  • C. L. Vestergaard
  • J. N. Pedersen
  • K. I. Mortensen
  • H. Flyvbjerg
Review
Part of the following topical collections:
  1. Statistical Physics of Self-Propelled Particles

Abstract

Given a theoretical model for a self-propelled particle or micro-organism, how does one optimally determine the parameters of the model from experimental data in the form of a time-lapse recorded trajectory? For very long trajectories, one has very good statistics, and optimality may matter little. However, for biological micro-organisms, one may not control the duration of recordings, and then optimality can matter. This is especially the case if one is interested in individuality and hence cannot improve statistics by taking population averages over many trajectories. One can learn much about this problem by studying its simplest case, pure diffusion with no self-propagation. This is an interesting problem also in its own right for the very same reasons: interest in individuality and short trajectories. We summarize our recent results on this latter issue here and speculate about the extent to which similar results may be obtained also for self-propelled particles.

Keywords

Brownian Motion Localization Error European Physical Journal Special Topic Fractional Brownian Motion Weight Little Square 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© EDP Sciences and Springer 2015

Authors and Affiliations

  • C. L. Vestergaard
    • 1
  • J. N. Pedersen
    • 2
  • K. I. Mortensen
    • 2
  • H. Flyvbjerg
    • 2
  1. 1.CNRS, CPT, UMR 7332Aix Marseille Université, Université de ToulonMarseilleFrance
  2. 2.Department of Micro- and NanotechnologyTechnical University of DenmarkKongens LyngbyDenmark

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