Investigation of the numerics of point spread function integration in single molecule localization
Investigation of the numerics of point spread function integration in single molecule localization
The computation of point spread functions, which are typically used to model the image profile of a single molecule, represents a central task in the analysis of single molecule microscopy data. To determine how the accuracy of the computation affects how well a single molecule can be localized, we investigate how the fineness with which the point spread function is integrated over an image pixel impacts the performance of the maximum likelihood location estimator. We consider both the Airy and the two-dimensional Gaussian point spread functions. Our results show that the point spread function needs to be adequately integrated over a pixel to ensure that the estimator closely recovers the true location of the single molecule with an accuracy that is comparable to the best possible accuracy as determined using the Fisher information formalism. Importantly, if integration with an insufficiently fine step size is carried out, the resulting estimates can be significantly different from the true location, particularly when the image data is acquired at relatively low magnifications. We also present a methodology for determining an adequate step size for integrating the point spread function.
16866-16883
Chao, Jerry
550e20b0-8365-42e3-a6fc-1048eb8c2e47
Ram, Sripad
559bd560-3817-4e53-8c7a-2f08e4518412
Lee, Taiyoon
763ca47b-a0fd-43e9-9604-ea148726fa6e
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
29 June 2015
Chao, Jerry
550e20b0-8365-42e3-a6fc-1048eb8c2e47
Ram, Sripad
559bd560-3817-4e53-8c7a-2f08e4518412
Lee, Taiyoon
763ca47b-a0fd-43e9-9604-ea148726fa6e
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
Chao, Jerry, Ram, Sripad, Lee, Taiyoon, Ward, E. Sally and Ober, Raimund J.
(2015)
Investigation of the numerics of point spread function integration in single molecule localization.
Optics Express, 23 (13), .
(doi:10.1364/OE.23.016866).
Abstract
The computation of point spread functions, which are typically used to model the image profile of a single molecule, represents a central task in the analysis of single molecule microscopy data. To determine how the accuracy of the computation affects how well a single molecule can be localized, we investigate how the fineness with which the point spread function is integrated over an image pixel impacts the performance of the maximum likelihood location estimator. We consider both the Airy and the two-dimensional Gaussian point spread functions. Our results show that the point spread function needs to be adequately integrated over a pixel to ensure that the estimator closely recovers the true location of the single molecule with an accuracy that is comparable to the best possible accuracy as determined using the Fisher information formalism. Importantly, if integration with an insufficiently fine step size is carried out, the resulting estimates can be significantly different from the true location, particularly when the image data is acquired at relatively low magnifications. We also present a methodology for determining an adequate step size for integrating the point spread function.
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Accepted/In Press date: 28 May 2015
e-pub ahead of print date: 18 June 2015
Published date: 29 June 2015
Identifiers
Local EPrints ID: 423660
URI: http://eprints.soton.ac.uk/id/eprint/423660
ISSN: 1094-4087
PURE UUID: 1277d268-09d2-4fc9-b52c-7a45782f54c9
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Date deposited: 27 Sep 2018 16:30
Last modified: 16 Mar 2024 04:37
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Author:
Jerry Chao
Author:
Sripad Ram
Author:
Taiyoon Lee
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