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Code availability
The source code can be found at http://www.github.com/jries/SMAP. A standalone version for PC or Mac is available as Supplementary Software. The standalone version, as well as documentation, test data and updated versions, can be downloaded at http://www.rieslab.de.
References
Betzig, E. et al. Science 313, 1642–1645 (2006).
Rust, M. J., Bates, M. & Zhuang, X. Nat. Methods 3, 793–795 (2006).
Jungmann, R. et al. Nat. Methods 11, 313–318 (2014).
Henriques, R. et al. Nat. Methods 7, 339–340 (2010).
Wolter, S. et al. Nat. Methods 9, 1040–1041 (2012).
Dedecker, P., Duwé, S., Neely, R. K. & Zhang, J. J. Biomed. Opt. 17, 126008 (2012).
Ovesný, M., Křížek, P., Borkovec, J., Švindrych, Z. & Hagen, G. M. Bioinformatics 30, 2389–2390 (2014).
Schnitzbauer, J., Strauss, M. T., Schlichthaerle, T., Schueder, F. & Jungmann, R. Nat. Protoc. 12, 1198–1228 (2017).
Sage, D. et al. Nat. Methods 12, 717–724 (2015).
Li, Y. et al. Nat. Methods 15, 367–369 (2018).
Acknowledgements
We thank I. Schön, E. Klotzsch, all members of the Ries group and specifically J. Deschamps, M. Mund, U. Matti, P. Hoess Y.L. Wu, S. Liu, T. Deguchi and R. Diekmann for extensive testing of the software and contributions to the manuscript and software. This work was supported by the European Research Council (ERC CoG-724489) and the European Molecular Biology Laboratory.
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Editorial note: This article has been peer reviewed.
Supplementary information
Supplementary Table
List of plugins currently provided with SMAP
Supplementary Software
Compiled standalone versions of SMAP for PC and Mac
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Ries, J. SMAP: a modular super-resolution microscopy analysis platform for SMLM data. Nat Methods 17, 870–872 (2020). https://doi.org/10.1038/s41592-020-0938-1
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DOI: https://doi.org/10.1038/s41592-020-0938-1
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