Algorithmic corrections for localization microscopy with sCMOS cameras - characterisation of a computationally efficient localization approach

Lin, R, Clowsley, AH, Jayasinghe, ID orcid.org/0000-0003-2461-478X et al. (2 more authors) (2017) Algorithmic corrections for localization microscopy with sCMOS cameras - characterisation of a computationally efficient localization approach. Optics Express, 25 (10). pp. 11701-11716. ISSN 1094-4087

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Copyright, Publisher and Additional Information: © 2017. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Dates:
  • Published: 15 May 2017
  • Accepted: 29 April 2017
  • Published (online): 10 May 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 08 Jun 2017 09:45
Last Modified: 08 Jun 2017 09:45
Status: Published
Publisher: Optical Society of America
Identification Number: https://doi.org/10.1364/OE.25.011701

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