Nanoscale pattern extraction from relative positions of sparse 3D localizations

Curd, AP orcid.org/0000-0002-3949-7523, Leng, J orcid.org/0000-0001-9790-162X, Hughes, RE orcid.org/0000-0001-6167-8286 et al. (13 more authors) (2021) Nanoscale pattern extraction from relative positions of sparse 3D localizations. Nano Letters: a journal dedicated to nanoscience and nanotechnology, 21 (3). pp. 1213-1220. ISSN 1530-6984

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 American Chemical Society. This is an open access article published under a Creative Commons Attribution (CC-BY) License, which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Keywords: Super-resolution microscopy; Image analysis; Protein organization; Single molecule localization; Spatial pattern statistics; Nanoscale structures
Dates:
  • Accepted: 24 November 2020
  • Published (online): 30 November 2020
  • Published: 10 February 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Molecular and Cellular Biology (Leeds) > Cell Biology (Leeds)
The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Molecular and Cellular Biology (Leeds) > Synthetic Biology (Leed)
Funding Information:
FunderGrant number
MRC (Medical Research Council)MR/K015613/1
Wellcome Trust091108/Z/10/Z
BBSRC (Biotechnology & Biological Sciences Research Council)BB/S015787/1
EPSRC (Engineering and Physical Sciences Research Council)EP/R016372/1
Depositing User: Symplectic Publications
Date Deposited: 04 Dec 2020 11:41
Last Modified: 28 Apr 2021 07:32
Status: Published
Publisher: American Chemical Society
Identification Number: https://doi.org/10.1021/acs.nanolett.0c03332

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