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Analysis of photon count data from single-molecule fluorescence experiments

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Title: Analysis of photon count data from single-molecule fluorescence experiments
Authors: Burzykowski, T.1 tomasz.burzykowski@luc.ac.be, Szubiakowski, J.2 jpszub@matman.uwm.edu.pl, Rydén, T.3 tobias.ryden@matstat.lu.se
Source: Chemical Physics. Mar2003, Vol. 288 Issue 2/3, p291. 17p.
Subjects: Molecular theory, Fluorescence spectroscopy
Abstract: We consider single-molecule fluorescence experiments with data in the form of counts of photons registered over multiple time-intervals. Based on the observation schemes, linking back to works by Dehmelt [Bull. Am. Phys. Soc. 20 (1975) 60] and Cook and Kimble [Phys. Rev. Lett. 54 (1985) 1023], we propose an analytical approach to the data based on the theory of Markov-modulated Poisson processes (MMPP). In particular, we consider maximum-likelihood estimation. The method is illustrated using a real-life dataset. Additionally, the properties of the proposed method are investigated through simulations and compared to two other approaches developed by Yip et al. [J. Phys. Chem. A 102 (1998) 7564] and Molski [Chem. Phys. Lett. 324 (2000) 301]. [Copyright &y& Elsevier]
Copyright of Chemical Physics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 9192347
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PubType: Academic Journal
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  Data: Analysis of photon count data from single-molecule fluorescence experiments
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  Data: <searchLink fieldCode="AR" term="%22Burzykowski%2C+T%2E%22">Burzykowski, T.</searchLink><relatesTo>1</relatesTo><i> tomasz.burzykowski@luc.ac.be</i><br /><searchLink fieldCode="AR" term="%22Szubiakowski%2C+J%2E%22">Szubiakowski, J.</searchLink><relatesTo>2</relatesTo><i> jpszub@matman.uwm.edu.pl</i><br /><searchLink fieldCode="AR" term="%22Rydén%2C+T%2E%22">Rydén, T.</searchLink><relatesTo>3</relatesTo><i> tobias.ryden@matstat.lu.se</i>
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  Data: <searchLink fieldCode="JN" term="%22Chemical+Physics%22">Chemical Physics</searchLink>. Mar2003, Vol. 288 Issue 2/3, p291. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Molecular+theory%22">Molecular theory</searchLink><br /><searchLink fieldCode="DE" term="%22Fluorescence+spectroscopy%22">Fluorescence spectroscopy</searchLink>
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  Data: We consider single-molecule fluorescence experiments with data in the form of counts of photons registered over multiple time-intervals. Based on the observation schemes, linking back to works by Dehmelt [Bull. Am. Phys. Soc. 20 (1975) 60] and Cook and Kimble [Phys. Rev. Lett. 54 (1985) 1023], we propose an analytical approach to the data based on the theory of Markov-modulated Poisson processes (MMPP). In particular, we consider maximum-likelihood estimation. The method is illustrated using a real-life dataset. Additionally, the properties of the proposed method are investigated through simulations and compared to two other approaches developed by Yip et al. [J. Phys. Chem. A 102 (1998) 7564] and Molski [Chem. Phys. Lett. 324 (2000) 301]. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Chemical Physics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/S0301-0104(03)00034-X
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      – TitleFull: Analysis of photon count data from single-molecule fluorescence experiments
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