A gain series method for accurate EMCCD calibration

Calibration of the gain and digital conversion factor of an EMCCD is necessary for accurate photon counting. We present a new method to quickly calibrate multiple gain settings of an EMCCD camera. Acquiring gain-series calibration data and analyzing the resulting images with the EMCCD noise model mo...

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Autores principales: Ryan, Duncan P., Dunlap, Megan K., Gelfand, Martin P., Werner, James H., Van Orden, Alan K., Goodwin, Peter M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443689/
https://www.ncbi.nlm.nih.gov/pubmed/34526588
http://dx.doi.org/10.1038/s41598-021-97759-6
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author Ryan, Duncan P.
Dunlap, Megan K.
Gelfand, Martin P.
Werner, James H.
Van Orden, Alan K.
Goodwin, Peter M.
author_facet Ryan, Duncan P.
Dunlap, Megan K.
Gelfand, Martin P.
Werner, James H.
Van Orden, Alan K.
Goodwin, Peter M.
author_sort Ryan, Duncan P.
collection PubMed
description Calibration of the gain and digital conversion factor of an EMCCD is necessary for accurate photon counting. We present a new method to quickly calibrate multiple gain settings of an EMCCD camera. Acquiring gain-series calibration data and analyzing the resulting images with the EMCCD noise model more accurately estimates the gain response of the camera. Furthermore, we develop a method to compare the results from different calibration approaches. Gain-series calibration outperforms all other methods in this self-consistency test.
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spelling pubmed-84436892021-09-20 A gain series method for accurate EMCCD calibration Ryan, Duncan P. Dunlap, Megan K. Gelfand, Martin P. Werner, James H. Van Orden, Alan K. Goodwin, Peter M. Sci Rep Article Calibration of the gain and digital conversion factor of an EMCCD is necessary for accurate photon counting. We present a new method to quickly calibrate multiple gain settings of an EMCCD camera. Acquiring gain-series calibration data and analyzing the resulting images with the EMCCD noise model more accurately estimates the gain response of the camera. Furthermore, we develop a method to compare the results from different calibration approaches. Gain-series calibration outperforms all other methods in this self-consistency test. Nature Publishing Group UK 2021-09-15 /pmc/articles/PMC8443689/ /pubmed/34526588 http://dx.doi.org/10.1038/s41598-021-97759-6 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ryan, Duncan P.
Dunlap, Megan K.
Gelfand, Martin P.
Werner, James H.
Van Orden, Alan K.
Goodwin, Peter M.
A gain series method for accurate EMCCD calibration
title A gain series method for accurate EMCCD calibration
title_full A gain series method for accurate EMCCD calibration
title_fullStr A gain series method for accurate EMCCD calibration
title_full_unstemmed A gain series method for accurate EMCCD calibration
title_short A gain series method for accurate EMCCD calibration
title_sort gain series method for accurate emccd calibration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443689/
https://www.ncbi.nlm.nih.gov/pubmed/34526588
http://dx.doi.org/10.1038/s41598-021-97759-6
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