%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 }