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Publication Detail
Quantitative mapping and minimization of super-resolution optical imaging artifacts.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Article
  • Authors:
    Culley S, Albrecht D, Jacobs C, Pereira PM, Leterrier C, Mercer J, Henriques R
  • Publication date:
    19/02/2018
  • Journal:
    Nature methods
  • Medium:
    Print-Electronic
  • Status:
    Published
  • Print ISSN:
    1548-7091
  • Language:
    eng
  • Addresses:
    MRC-Laboratory for Molecular Cell Biology, University College London, London, UK.
Abstract
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.
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