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Objective compariso...
Objective comparison of methods to decode anomalous diffusion
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Munoz-Gil, G. (author)
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- Volpe, Giovanni, 1979 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU)
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Garcia-March, M. A. (author)
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Aghion, E. (author)
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- Argun, Aykut (author)
- Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU)
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Hong, C. B. (author)
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Bland, T. (author)
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Bo, S. O. (author)
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Conejero, J. A. (author)
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Firbas, N. (author)
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Orts, O. (author)
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Gentili, A. (author)
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Huang, Z. H. (author)
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Jeon, J. H. (author)
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Kabbech, H. (author)
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Kim, Y. (author)
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Kowalek, P. (author)
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Krapf, D. (author)
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Loch-Olszewska, H. (author)
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Lomholt, M. A. (author)
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Masson, J. B. (author)
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Meyer, P. G. (author)
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Park, S. (author)
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Requena, B. (author)
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Smal, I. (author)
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Song, T. (author)
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Szwabinski, J. (author)
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Thapa, S. (author)
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Verdier, H. (author)
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Volpe, G. (author)
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Widera, A. (author)
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Lewenstein, M. (author)
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Metzler, R. (author)
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Manzo, C. (author)
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(creator_code:org_t)
- 2021-10-29
- 2021
- English.
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In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 12:1
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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Abstract
Subject headings
Close
- Deviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion from the measurement of an individual trajectory is a challenging task, which traditionally relies on calculating the trajectory mean squared displacement. However, this approach breaks down for cases of practical interest, e.g., short or noisy trajectories, heterogeneous behaviour, or non-ergodic processes. Recently, several new approaches have been proposed, mostly building on the ongoing machine-learning revolution. To perform an objective comparison of methods, we gathered the community and organized an open competition, the Anomalous Diffusion challenge (AnDi). Participating teams applied their algorithms to a commonly-defined dataset including diverse conditions. Although no single method performed best across all scenarios, machine-learning-based approaches achieved superior performance for all tasks. The discussion of the challenge results provides practical advice for users and a benchmark for developers. 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.
Subject headings
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Keyword
- statistics
- tracking
- Science & Technology - Other Topics
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
To the university's database
- By the author/editor
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Munoz-Gil, G.
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Volpe, Giovanni, ...
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Garcia-March, M. ...
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Aghion, E.
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Argun, Aykut
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Hong, C. B.
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show more...
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Bland, T.
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Bo, S. O.
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Conejero, J. A.
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Firbas, N.
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Orts, O.
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Gentili, A.
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Huang, Z. H.
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Jeon, J. H.
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Kabbech, H.
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Kim, Y.
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Kowalek, P.
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Krapf, D.
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Loch-Olszewska, ...
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Lomholt, M. A.
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Masson, J. B.
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Meyer, P. G.
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Park, S.
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Requena, B.
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Smal, I.
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Song, T.
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Szwabinski, J.
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Thapa, S.
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Verdier, H.
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Volpe, G.
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Widera, A.
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Lewenstein, M.
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Metzler, R.
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Manzo, C.
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show less...
- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Mathematics
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and Probability Theo ...
- Articles in the publication
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Nature Communica ...
- By the university
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University of Gothenburg