Extracting quantitative information from single-molecule super-resolution imaging data with LAMA – LocAlization Microscopy Analyzer

Super-resolution fluorescence microscopy revolutionizes cell biology research and provides novel insights on how proteins are organized at the nanoscale and in the cellular context. In order to extract a maximum of information, specialized tools for image analysis are necessary. Here, we introduce t...

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Detalles Bibliográficos
Autores principales: Malkusch, Sebastian, Heilemann, Mike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5050494/
https://www.ncbi.nlm.nih.gov/pubmed/27703238
http://dx.doi.org/10.1038/srep34486
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author Malkusch, Sebastian
Heilemann, Mike
author_facet Malkusch, Sebastian
Heilemann, Mike
author_sort Malkusch, Sebastian
collection PubMed
description Super-resolution fluorescence microscopy revolutionizes cell biology research and provides novel insights on how proteins are organized at the nanoscale and in the cellular context. In order to extract a maximum of information, specialized tools for image analysis are necessary. Here, we introduce the LocAlization Microscopy Analyzer (LAMA), a comprehensive software tool that extracts quantitative information from single-molecule super-resolution imaging data. LAMA allows characterizing cellular structures by their size, shape, intensity, distribution, as well as the degree of colocalization with other structures. LAMA is freely available, platform-independent and designed to provide direct access to individual analysis of super-resolution data.
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spelling pubmed-50504942016-10-11 Extracting quantitative information from single-molecule super-resolution imaging data with LAMA – LocAlization Microscopy Analyzer Malkusch, Sebastian Heilemann, Mike Sci Rep Article Super-resolution fluorescence microscopy revolutionizes cell biology research and provides novel insights on how proteins are organized at the nanoscale and in the cellular context. In order to extract a maximum of information, specialized tools for image analysis are necessary. Here, we introduce the LocAlization Microscopy Analyzer (LAMA), a comprehensive software tool that extracts quantitative information from single-molecule super-resolution imaging data. LAMA allows characterizing cellular structures by their size, shape, intensity, distribution, as well as the degree of colocalization with other structures. LAMA is freely available, platform-independent and designed to provide direct access to individual analysis of super-resolution data. Nature Publishing Group 2016-10-05 /pmc/articles/PMC5050494/ /pubmed/27703238 http://dx.doi.org/10.1038/srep34486 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Malkusch, Sebastian
Heilemann, Mike
Extracting quantitative information from single-molecule super-resolution imaging data with LAMA – LocAlization Microscopy Analyzer
title Extracting quantitative information from single-molecule super-resolution imaging data with LAMA – LocAlization Microscopy Analyzer
title_full Extracting quantitative information from single-molecule super-resolution imaging data with LAMA – LocAlization Microscopy Analyzer
title_fullStr Extracting quantitative information from single-molecule super-resolution imaging data with LAMA – LocAlization Microscopy Analyzer
title_full_unstemmed Extracting quantitative information from single-molecule super-resolution imaging data with LAMA – LocAlization Microscopy Analyzer
title_short Extracting quantitative information from single-molecule super-resolution imaging data with LAMA – LocAlization Microscopy Analyzer
title_sort extracting quantitative information from single-molecule super-resolution imaging data with lama – localization microscopy analyzer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5050494/
https://www.ncbi.nlm.nih.gov/pubmed/27703238
http://dx.doi.org/10.1038/srep34486
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AT heilemannmike extractingquantitativeinformationfromsinglemoleculesuperresolutionimagingdatawithlamalocalizationmicroscopyanalyzer

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