Objective comparison of methods to decode anomalous diffusion - INSPIRE

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Objective comparison of methods to decode anomalous diffusion

May 14, 2021

63 pages

Published in:

Nature Commun. 12 (2021) 1, 6253

Published: Oct 29, 2021

e-Print:

2105.06766 [physics.data-an]

DOI:

10.1038/s41467-021-26320-w

View in:

ADS Abstract Service

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Abstract: (Springer)

Deviations from Brownian motion leading to anomalous diffusion are ubiquitously found in transport dynamics but often difficult to characterize. Here the authors compare approaches for single trajectory analysis through an open competition, showing that machine learning methods outperform classical approaches.

Note:

63 pages, 5 main figures, 1 table, 28 supplementary figures. Website: http://www.andi-challenge.org

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Figures(33)

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