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Quantitative mapping and minimization of super-resolution optical imaging artifacts
Nature Methods ( IF 36.1 ) Pub Date : 2018-02-19 , DOI: 10.1038/nmeth.4605
Siân Culley 1, 2, 3 , David Albrecht 1 , Caron Jacobs 1, 2 , Pedro Matos Pereira 1, 2, 3 , Christophe Leterrier 4 , Jason Mercer 1 , Ricardo Henriques 1, 2, 3
Affiliation  

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.



中文翻译:

超分辨率光学成像伪影的定量映射和最小化

超分辨率显微镜取决于可能有​​助于形成图像伪影的步骤,从而导致对生物信息的误解。我们提出 NanoJ-SQUIRREL,一种基于 ImageJ 的分析方法,可提供超分辨率图像质量的定量评估。通过比较相同采集体积的衍射极限图像和超分辨率等效物,该方法生成超分辨率缺陷的定量图,并可以指导研究人员优化成像参数。

更新日期:2018-02-21
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