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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.
Cited literature [6 references]
https://hal.archives-ouvertes.fr/hal-01736919
Contributor : Christophe Leterrier Connect in order to contact the contributor
Submitted on : Friday, April 20, 2018 - 4:20:19 PM
Last modification on : Wednesday, November 3, 2021 - 5:49:37 AM
Long-term archiving on: : Tuesday, September 18, 2018 - 9:33:57 PM
Contributor : Christophe Leterrier Connect in order to contact the contributor
Submitted on : Friday, April 20, 2018 - 4:20:19 PM
Last modification on : Wednesday, November 3, 2021 - 5:49:37 AM
Long-term archiving on: : Tuesday, September 18, 2018 - 9:33:57 PM
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2018_Nat. Methods_Culley.pdf
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