Quantitative mapping and minimization of super-resolution optical imaging artifacts

Siân Culley; David Albrecht; Caron Jacobs; Pedro Matos Pereira; Christophe Leterrier; Jason Mercer; Ricardo Henriques

doi:10.1038/nmeth.4605

Quantitative mapping and minimization of super-resolution optical imaging artifacts

Siân Culley, David Albrecht, Caron Jacobs, Pedro Matos Pereira, Christophe Leterrier, Jason Mercer^*, Ricardo Henriques

^*Corresponding author for this work

Biosciences

Research output: Contribution to journal › Letter › peer-review

97 Citations (Scopus)

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.

Original language	English
Pages (from-to)	263-266
Number of pages	4
Journal	Nature Methods
Volume	15
Issue number	4
DOIs	https://doi.org/10.1038/nmeth.4605
Publication status	Published - 3 Apr 2018

ASJC Scopus subject areas

Biotechnology
Biochemistry
Molecular Biology
Cell Biology

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10.1038/nmeth.4605Licence: None: All rights reserved

Cite this

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AU - Pereira, Pedro Matos

AU - Leterrier, Christophe

AU - Mercer, Jason

AU - Henriques, Ricardo

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AB - 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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Quantitative mapping and minimization of super-resolution optical imaging artifacts

Abstract

ASJC Scopus subject areas

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