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. 2019 Jan 15;20:30. doi: 10.1186/s12859-018-2578-3

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — Workflow for analysis of SMLM data with SMoLR. Workflow across external single-molecule localization software (blue), ImageJ/FIJI (green) and SMoLR (pink). (a) SMLM data is extracted from microscopy images, and represented in table format with as minimum information x and y coordinates, and localization precision. (b) The extracted data is analyzed with SMoLR or other visualization programs as an entire image. (c) Using either ImageJ/FIJI or SMoLR regions of interest are determined and selected, either manually or automatically using selection criteria. (d) The localization data is split by SMoLR into a list containing data of each ROI, these individual ROIs can be analyzed in more detail at once. Resulting parameters can easily be statistically explored using R