Quantitative mapping and minimization of super-resolution optical imaging artifacts

被引：0
|
作者：
Culley, Sian [1 ,2 ,3 ]
Albrecht, David [1 ]
Jacobs, Caron [1 ,2 ]
Pereira, Pedro Matos [1 ,2 ,3 ]
Leterrier, Christophe [4 ]
Mercer, Jason [1 ]
Henriques, Ricardo [1 ,2 ,3 ]
机构：
[1] UCL, MRC Lab Mol Cell Biol, London, England
[2] UCL, Dept Cell & Dev Biol, London, England
[3] Francis Crick Inst, London, England
[4] Aix Marseille Univ, CNRS, INP, UMR7051, Marseille, France
来源：
NATURE METHODS | 2018年 / 15卷 / 04期
基金：
英国惠康基金; 英国医学研究理事会; 英国生物技术与生命科学研究理事会;
关键词：
STRUCTURED ILLUMINATION MICROSCOPY; LOCALIZATION MICROSCOPY; VACCINIA VIRUS; IMAGEJ; STORM; RECONSTRUCTION; RESOLUTION; NANOSCOPY; MOTION; PALM;
D O I：
10.1038/NMETH.4605
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Super-resolution microscopy depends on steps that can contribute to the formation of image artifacts, leading to misinterpretation of biological information. We present NanoJ-SQUIRREL, an ImageJ-based analytical approach that provides quantitative assessment of super-resolution image quality. By comparing diffraction-limited images and super-resolution equivalents of the same acquisition volume, this approach generates a quantitative map of super-resolution defects and can guide researchers in optimizing imaging parameters.
引用
收藏
页码：263 / +
页数：7
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