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.
:C$\backslash$:/Users/Karoline/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Malkusch, Heilemann - 2016 - Extracting quantitative information from single-molecule super-resolution imaging data with LAMA - LocAliza.pdf:pdf
%0 Journal Article
%1 Malkusch2016
%A Malkusch, Sebastian
%A Heilemann, Mike
%D 2016
%I Nature Publishing Group
%J Scientific Reports
%K microscopy quantitative software superresolution
%N 1
%P 1--4
%R 10.1038/srep34486
%T Extracting quantitative information from single-molecule super-resolution imaging data with LAMA - LocAlization Microscopy Analyzer
%V 6
%X 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.
@article{Malkusch2016,
abstract = {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.},
added-at = {2020-03-23T21:12:34.000+0100},
author = {Malkusch, Sebastian and Heilemann, Mike},
biburl = {https://www.bibsonomy.org/bibtex/2cfa4a4e4ad7faafe12e4d71c811fde02/kfriedl},
doi = {10.1038/srep34486},
file = {:C$\backslash$:/Users/Karoline/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Malkusch, Heilemann - 2016 - Extracting quantitative information from single-molecule super-resolution imaging data with LAMA - LocAliza.pdf:pdf},
interhash = {a41711cbea082710876ef47cafcc590a},
intrahash = {cfa4a4e4ad7faafe12e4d71c811fde02},
issn = {20452322},
journal = {Scientific Reports},
keywords = {microscopy quantitative software superresolution},
month = oct,
number = 1,
pages = {1--4},
publisher = {Nature Publishing Group},
timestamp = {2020-03-23T22:56:49.000+0100},
title = {{Extracting quantitative information from single-molecule super-resolution imaging data with LAMA - LocAlization Microscopy Analyzer}},
volume = 6,
year = 2016
}