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. 2017 Jun 22;7:4077. doi: 10.1038/s41598-017-04450-w

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© The Author(s) 2017

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/.

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Examining the effect of increasing total number of localisations in the ROI on the Bayesian cluster analysis of simulated data sets (n = 30 simulations) from 100 localisations per ROIs to 2000 localisations per ROIs, under the Standard Conditions. Representative cluster maps with (a) 200, (b) 1000 and (c) 2000 localisations within the 3000 × 3000 × 600 nm ROI. (d) Mean number of detected localisations per cluster as a function of the number of localisations per cluster, compared to the simulated (true) value, (e) mean cluster radii as a function of the number of localisations per cluster, compared to the simulated (true) value, (f) mean number of detected clusters per ROI as a function of the number of localisations per cluster, compared to the simulated value and (g) mean percentage of localisations detected in clusters as a function of the number of localisations per cluster, compared to the simulated value. Red = results of the analysis, black = simulated values.