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 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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Author:Sebastian MalkuschORCiDGND, Mike HeilemannORCiDGND
URN:urn:nbn:de:hebis:30:3-451379
DOI:https://doi.org/10.1038/srep34486
ISSN:2045-2322
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/27703238
Parent Title (English):Scientific reports
Publisher:Macmillan Publishers Limited, part of Springer Nature
Place of publication:[London]
Document Type:Article
Language:English
Year of Completion:2016
Date of first Publication:2016/10/05
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2017/11/30
Tag:Nanoscale biophysics; Super-resolution microscopy
Volume:6
Issue:Art. 34486
Page Number:4
First Page:1
Last Page:4
Note:
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/ © The Author(s) 2016
HeBIS-PPN:424951762
Institutes:Biochemie, Chemie und Pharmazie / Biochemie und Chemie
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Sammlungen:Universitätspublikationen
Open-Access-Publikationsfonds:Biochemie, Chemie und Pharmazie
Licence (German):License LogoCreative Commons - Namensnennung 4.0