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

被引：77
作者：
Malkusch, Sebastian [1 ]
Heilemann, Mike [1 ]
机构：
[1] Goethe Univ Frankfurt, Single Mol Biophys, Inst Phys & Theoret Chem, Frankfurt, Germany
来源：
SCIENTIFIC REPORTS | 2016年 / 6卷
关键词：
RESOLUTION; LIGHT; MODEL; PALM;
D O I：
10.1038/srep34486
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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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页数：4
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