Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to
your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:
Email: portico-services@ucl.ac.uk
Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Email: portico-services@ucl.ac.uk
Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Quantitative mapping and minimization of super-resolution optical imaging artifacts.
-
Publication Type:Journal article
-
Publication Sub Type:Article
-
Authors:Culley S, Albrecht D, Jacobs C, Pereira PM, Leterrier C, Mercer J, Henriques R
-
Publication date:19/02/2018
-
Journal:Nature methods
-
Medium:Print-Electronic
-
Status:Published
-
Print ISSN:1548-7091
-
Language:eng
-
Addresses:MRC-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.
› More search options
UCL Researchers