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. 2018 Sep 18;5:180191. doi: 10.1038/sdata.2018.191

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Copyright © 2018, The Author(s)

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.

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(a) Extending the time window of the analysis from 5% (blue curve) to 10% (red, optimal value, see text) and finally 20% (black) of the total duration of the acquired stack of images affects the obtained iMSD trace and the corresponding descriptive parameters (mainly α and D_M in this example). (b) The three sets of data described in (a) are here represented in the 3D parametric space (α, size and D_M) to build the corresponding structural/dynamic fingerprints at the population level.