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|Title: ||Analysis of photon count data from single-molecule fluorescence experiments|
|Authors: ||BURZYKOWSKI, Tomasz|
|Keywords: ||Statistical methodology|
|Issue Date: ||2003|
|Publisher: ||ELSEVIER SCIENCE BV|
|Citation: ||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].|
|ISI #: ||000181550500016|
|Type: ||Journal Contribution|
|Validation: ||ecoom, 2004|
|Appears in Collections: ||Research publications|
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