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Quantitative mapping and minimization of super-resolution optical imaging artifacts

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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Submitted on : Friday, April 20, 2018 - 4:20:19 PM
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2018_Nat. Methods_Culley.pdf
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Siân Culley, David Albrecht, Caron Jacobs, Pedro Matos Pereira, Christophe Leterrier, et al.. Quantitative mapping and minimization of super-resolution optical imaging artifacts. Nature Methods, Nature Publishing Group, 2018, 15 (4), pp.263-266. ⟨10.1038/nmeth.4605⟩. ⟨hal-01736919⟩



Les métriques sont temporairement indisponibles