Quantitative mapping and minimization of super-resolution optical imaging artifacts
Research output: Contribution to journal › Letter › peer-review
Colleges, School and Institutes
- The Francis Crick Institute
- CNRS/Aix-Marseille Universite
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.
|Number of pages||4|
|Publication status||Published - 3 Apr 2018|