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Quantitative mapping and minimization of super-resolution optical imaging artifacts

Culley, S; Albrecht, D; Jacobs, C; Pereira, PM; Leterrier, C; Mercer, J; Henriques, R; (2018) Quantitative mapping and minimization of super-resolution optical imaging artifacts. Nature Methods , 15 pp. 263-266. 10.1038/nmeth.4605. Green open access

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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.

Type: Article
Title: Quantitative mapping and minimization of super-resolution optical imaging artifacts
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/nmeth.4605
Publisher version: http://dx.doi.org/10.1038/nmeth.4605
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy
URI: https://discovery.ucl.ac.uk/id/eprint/10044159
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