Motion of Euglena Gracilis: Active Fluctuations and Velocity Distribution
Pawel Romanczuk, Maksym Romensky, Dimitri Scholz, Vladimir Lobaskin,, Lutz Schimansky-Geier

TL;DR
This study combines optical microscopy and theoretical modeling to analyze the velocity distribution of Euglena gracilis, revealing how active fluctuations influence their motility patterns, with models aligning well with experimental data.
Contribution
It introduces a theoretical framework using active fluctuations and the depot model to accurately describe Euglena's velocity distribution, validated by experiments.
Findings
The active fluctuation concept explains small-velocity distribution features.
The depot model with active noise matches experimental velocity data.
Both additive and multiplicative noise models are analyzed.
Abstract
We study the velocity distribution of unicellular swimming algae Euglena gracilis using optical microscopy and theory. To characterize a peculiar feature of the experimentally observed distribution at small velocities we use the concept of active fluctuations, which was recently proposed for the description of stochastically self-propelled particles [Romanczuk, P. and Schimansky-Geier, L., Phys. Rev. Lett. 106, 230601 (2011)]. In this concept, the fluctuating forces arise due to internal random performance of the propulsive motor. The fluctuating forces are directed in parallel to the heading direction, in which the propulsion acts. In the theory, we introduce the active motion via the depot model [Schweitzer et al., Phys. Rev. Lett. 80, 23, 5044 (1998)]. We demonstrate that the theoretical predictions based on the depot model with active fluctuations are consistent with the…
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Taxonomy
TopicsMicro and Nano Robotics · Microfluidic and Bio-sensing Technologies · Molecular Communication and Nanonetworks
