Analysis of photon count data from single-molecule fluorescence experiments
(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].
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/316300
- author
- Burzykowski, T ; Szubiakowski, J and Rydén, Tobias LU
- organization
- publishing date
- 2003
- 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}}, }