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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.

SUBMITTER: Culley S

PROVIDER: S-EPMC5884429 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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

Culley Siân S Albrecht David D Jacobs Caron C Pereira Pedro Matos PM Leterrier Christophe C Mercer Jason J Henriques Ricardo R

Nature methods 20180219 4

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 o ...[more]

PMID: 29457791

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