ArticleBiophysical journal2006
Calculation of photon-count number distributions via master equations.
Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Single-molecule tracking to determine the abundances and stoichiometries of freely-diffusing protein complexes in living cells: Past applications and future prospects.The Journal of chemical physics · 2023Review
- Combined FCS and PCH Analysis to Quantify Protein Dimerization in Living Cells.International journal of molecular sciences · 2021Article
- Extracting Transition Rates in Particle Tracking Using Analytical Diffusion Distribution Analysis.Biophysical journal · 2020Article
- Resolving fluorescent species by their brightness and diffusion using correlated photon-counting histograms.PloS one · 2019Article
- Simultaneous diffusion and brightness measurements and brightness profile visualization from single fluorescence fluctuation traces of GFP in living cells.European biophysics journal : EBJ · 2012Article
- The spectroscopic basis of fluorescence triple correlation spectroscopy.The journal of physical chemistry. B · 2012Article
- Protein folding at single-molecule resolution.Biochimica et biophysica acta · 2011Review
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Authors and funding
4 authors.
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Abstract
Fitting of photon-count number histograms is a way of analysis of fluorescence intensity fluctuations, a successor to fluorescence correlation spectroscopy. First versions of the theory for calculating photon-count number distributions have assumed constant emission intensity by a molecule during a counting time interval. For a long time a question has remained unanswered: to what extent is this assumption violated in experiments? Here we present a theory of photon-count number distributions that takes account of intensity fluctuations during a counting time interval. Theoretical count-number distributions are calculated via a numerical solution of Master equations (ME), which is a set of differential equations describing diffusion, singlet-triplet transitions, and photon emission. Detector afterpulsing and dead-time corrections are also included. The ME-theory is tested by fitting a series of photon-count number histograms corresponding to different lengths of the counting time interval. Compared to the first version of fluorescence intensity multiple distribution analysis theory introduced in 2000, the fit quality is significantly improved. It is discussed how a theory of photon-count number distributions, which assumes constant emission intensity during a counting time interval, may also yield a good fit quality. We argue that the spatial brightness distribution used in calculations of the fit curve is not the true spatial brightness distribution. Instead, a number of dynamic processes, which cause fluorescence intensity fluctuations, are indirectly taken into account via the profile adjustment parameters.
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