Sub-diffraction error mapping for localisation microscopy images

Richard J. Marsh; Ishan Costello; Mark-Alexander Gorey; Donghan Ma; Fang Huang; Mathias Gautel; Maddy Parsons; Susan Cox

doi:10.1038/s41467-021-25812-z

Nature Communications (Sep 2021)

Sub-diffraction error mapping for localisation microscopy images

Richard J. Marsh,
Ishan Costello,
Mark-Alexander Gorey,
Donghan Ma,
Fang Huang,
Mathias Gautel,
Maddy Parsons,
Susan Cox

Affiliations

Richard J. Marsh: Randall Centre for Cell & Molecular Biophysics, Guy’s Campus, King’s College London
Ishan Costello: Randall Centre for Cell & Molecular Biophysics, Guy’s Campus, King’s College London
Mark-Alexander Gorey: Randall Centre for Cell & Molecular Biophysics, Guy’s Campus, King’s College London
Donghan Ma: Weldon School of Biomedical Engineering, Purdue University
Fang Huang: Weldon School of Biomedical Engineering, Purdue University
Mathias Gautel: Randall Centre for Cell & Molecular Biophysics, Guy’s Campus, King’s College London
Maddy Parsons: Randall Centre for Cell & Molecular Biophysics, Guy’s Campus, King’s College London
Susan Cox: Randall Centre for Cell & Molecular Biophysics, Guy’s Campus, King’s College London

DOI: https://doi.org/10.1038/s41467-021-25812-z
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 13

Abstract

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Determining the quality of localisation microscopy images is currently challenging. Here the authors report use of the Haar wavelet kernel analysis (HAWK) Method for the Assessment of Nanoscopy, termed HAWKMAN, to assess the reliability of localisation information.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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