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Updated: Feb 14, 2026

Super-resolution Imaging of the Bacterial Division Machinery
Published on: January 21, 2013
Quantitative mapping and minimization of super-resolution optical imaging artifacts
Siân Culley1,2,3, David Albrecht1, Caron Jacobs1,2
1MRC-Laboratory for Molecular Cell Biology, University College London, London, UK.
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.
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