Detection of transition times from single-particle-tracking trajectories

Takuma Akimoto, Eiji Yamamoto

Research output: Contribution to journalArticlepeer-review

Abstract

In heterogeneous environments, the diffusivity is not constant but changes with time. It is impor- tant to detect changes in the diffusivity from single-particle-tracking trajectories in experiments. Here, we devise a novel method for detecting the transition times of the diffusivity from trajectory data. A key idea of this method is the introduction of a characteristic time scale of the diffusive states, which is obtained by a uctuation analysis of the time-averaged mean square displacements. We test our method in silico by using the Langevin equation with a uctuating diffusivity. We show that our method can successfully detect the transition times of diffusive states and obtain the diffusion coefficient as a function of time. This method will provide a quantitative description of the uctuating diffusivity in heterogeneous environments and can be applied to time series with transitions of states.

Original languageEnglish
JournalUnknown Journal
Publication statusPublished - 2017 Sep 16

ASJC Scopus subject areas

  • General

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