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Analysis of photon count data from single-molecule fluorescence experiments

Burzykowski, T ; Szubiakowski, J and Rydén, Tobias LU (2003) In Chemical Physics 288(2-3). p.291-307
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].
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
hyperexponential distribution, Poisson process, Markov-modulated, single-molecule studies, fluorescence spectroscopy
in
Chemical Physics
volume
288
issue
2-3
pages
291 - 307
publisher
Elsevier
external identifiers
  • wos:000181550500016
  • scopus:0037443901
ISSN
0301-0104
DOI
10.1016/S0301-0104(03)00034-X
language
English
LU publication?
yes
id
7737baaa-62ab-4bed-83e0-0847c27523da (old id 316300)
date added to LUP
2016-04-01 15:27:07
date last changed
2022-01-28 05:27:04
@article{7737baaa-62ab-4bed-83e0-0847c27523da,
  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].}},
  author       = {{Burzykowski, T and Szubiakowski, J and Rydén, Tobias}},
  issn         = {{0301-0104}},
  keywords     = {{hyperexponential distribution; Poisson process; Markov-modulated; single-molecule studies; fluorescence spectroscopy}},
  language     = {{eng}},
  number       = {{2-3}},
  pages        = {{291--307}},
  publisher    = {{Elsevier}},
  series       = {{Chemical Physics}},
  title        = {{Analysis of photon count data from single-molecule fluorescence experiments}},
  url          = {{http://dx.doi.org/10.1016/S0301-0104(03)00034-X}},
  doi          = {{10.1016/S0301-0104(03)00034-X}},
  volume       = {{288}},
  year         = {{2003}},
}