Quantitative mapping and minimization of super-resolution optical imaging artifacts

Nat Methods. 2018 Apr;15(4):263-266. doi: 10.1038/nmeth.4605. Epub 2018 Feb 19.


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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Artifacts*
  • Image Processing, Computer-Assisted / methods*
  • Optical Imaging / methods*