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bioRxiv · 10.1101/2021.02.10.427128

Sub-diffraction error mapping for localization microscopy images

Marsh, R. J.·Costello, I.·Gorey, M.-A.·Ma, D.·Huang, F.·Gautel, M.·Parsons, M.·Cox, S.
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Abstract

Assessing the quality of localization microscopy images is highly challenging due to difficulty in reliably detecting errors in experimental data, with artificial sharpening being a particularly common failure mode of the technique. Here we use Haar wavelet kernel analysis (HAWK), a localization microscopy data analysis method which is known to give results without artificial sharpening, to generate a reference image. This enables the mapping and quantification of this common artefact. By suppressing intensity information, we are able to map sharpening errors in a way which is not influenced by nonlinearity in the localisation imaging process. The HAWK Method for the Assessment of Nanoscopy (HAWKMAN) is a general approach which allows the reliability of localization information to be assessed.

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Marsh, R. J., Costello, I., Gorey, M.-A., Ma, D., Huang, F., Gautel, M., Parsons, M., Cox, S.. 2021-02-10. Sub-diffraction error mapping for localization microscopy images. https://doi.org/10.1101/2021.02.10.427128

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