TY  - JOUR
A1  - Malkusch, Sebastian
A1  - Heilemann, Mike
T1  - Extracting quantitative information from single-molecule super-resolution imaging data with LAMA – LocAlization Microscopy Analyzer
T2  - Scientific reports
N2  - 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.
KW  - Nanoscale biophysics
KW  - Super-resolution microscopy
Y1  - 2016
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/45137
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-451379
SN  - 2045-2322
N1  - 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
VL  - 6
IS  - Art. 34486
SP  - 1
EP  - 4
PB  - Macmillan Publishers Limited, part of Springer Nature
CY  - [London]
ER  -