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Publication Detail
Quantitative mapping and minimization of super-resolution optical imaging artifacts.
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Publication Type:Journal article
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Publication Sub Type:Article
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Authors:Culley S, Albrecht D, Jacobs C, Pereira PM, Leterrier C, Mercer J, Henriques R
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Publication date:19/02/2018
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Journal:Nature methods
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Medium:Print-Electronic
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Status:Published
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Print ISSN:1548-7091
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Language:eng
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Full Text URL:
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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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