%0 Journal Article %1 Culley2018 %A Culley, Siân %A Albrecht, David %A Jacobs, Caron %A Pereira, Pedro Matos %A Leterrier, Christophe %A Mercer, Jason %A Henriques, Ricardo %D 2018 %I Nature Publishing Group %J Nature Methods %K Image microscopy processing software superresolutionartifacts team %N 4 %P 263--266 %R 10.1038/nmeth.4605 %T Quantitative mapping and minimization of super-resolution optical imaging artifacts %V 15 %X 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.

@article{Culley2018, 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.}, added-at = {2020-03-23T21:12:34.000+0100}, author = {Culley, Si{\^{a}}n and Albrecht, David and Jacobs, Caron and Pereira, Pedro Matos and Leterrier, Christophe and Mercer, Jason and Henriques, Ricardo}, biburl = {https://www.bibsonomy.org/bibtex/2bf34d9d4fa51608ba6803b8d625c5ccd/kfriedl}, doi = {10.1038/nmeth.4605}, file = {:C$\backslash$:/Users/Karoline/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Culley et al. - 2018 - Quantitative mapping and minimization of super-resolution optical imaging artifacts.pdf:pdf}, interhash = {3457dff05425f59cb46383ce90b4ceae}, intrahash = {bf34d9d4fa51608ba6803b8d625c5ccd}, issn = {15487105}, journal = {Nature Methods}, keywords = {Image microscopy processing software superresolutionartifacts team}, month = apr, number = 4, pages = {263--266}, publisher = {Nature Publishing Group}, timestamp = {2020-04-07T12:30:15.000+0200}, title = {{Quantitative mapping and minimization of super-resolution optical imaging artifacts}}, volume = 15, year = 2018 }