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Detection of Anomalous Diffusion with Deep Residual Networks

Single-Particle Tracking Reveals Anti-Persistent Subdiffusion in Cell Extracts

Experimental Physics I, University of Bayreuth, Universitätsstr. 30, D-95447 Bayreuth, Germany
Author to whom correspondence should be addressed.
Academic Editors: Janusz Szwabiński and Aleksander Weron
Entropy 2021, 23(7), 892;
Received: 15 June 2021 / Revised: 6 July 2021 / Accepted: 9 July 2021 / Published: 13 July 2021
(This article belongs to the Special Issue Recent Advances in Single-Particle Tracking: Experiment and Analysis)
Single-particle tracking (SPT) has become a powerful tool to quantify transport phenomena in complex media with unprecedented detail. Based on the reconstruction of individual trajectories, a wealth of informative measures become available for each particle, allowing for a detailed comparison with theoretical predictions. While SPT has been used frequently to explore diffusive transport in artificial fluids and inside living cells, intermediate systems, i.e., biochemically active cell extracts, have been studied only sparsely. Extracts derived from the eggs of the clawfrog Xenopus laevis, for example, are known for their ability to support and mimic vital processes of cells, emphasizing the need to explore also the transport phenomena of nano-sized particles in such extracts. Here, we have performed extensive SPT on beads with 20 nm radius in native and chemically treated Xenopus extracts. By analyzing a variety of distinct measures, we show that these beads feature an anti-persistent subdiffusion that is consistent with fractional Brownian motion. Chemical treatments did not grossly alter this finding, suggesting that the high degree of macromolecular crowding in Xenopus extracts equips the fluid with a viscoelastic modulus, hence enforcing particles to perform random walks with a significant anti-persistent memory kernel. View Full-Text
Keywords: anomalous diffusion; random walk; single-particle tracking anomalous diffusion; random walk; single-particle tracking
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MDPI and ACS Style

Speckner, K.; Weiss, M. Single-Particle Tracking Reveals Anti-Persistent Subdiffusion in Cell Extracts. Entropy 2021, 23, 892.

AMA Style

Speckner K, Weiss M. Single-Particle Tracking Reveals Anti-Persistent Subdiffusion in Cell Extracts. Entropy. 2021; 23(7):892.

Chicago/Turabian Style

Speckner, Konstantin, and Matthias Weiss. 2021. "Single-Particle Tracking Reveals Anti-Persistent Subdiffusion in Cell Extracts" Entropy 23, no. 7: 892.

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