Literature DB >> 16387771

Calculation of photon-count number distributions via master equations.

Kaupo Palo1, Ulo Mets, Vello Loorits, Peet Kask.   

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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Year:  2005        PMID: 16387771      PMCID: PMC1386796          DOI: 10.1529/biophysj.105.066084

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  23 in total

1.  Fluorescence-intensity distribution analysis and its application in biomolecular detection technology.

Authors:  P Kask; K Palo; D Ullmann; K Gall
Journal:  Proc Natl Acad Sci U S A       Date:  1999-11-23       Impact factor: 11.205

2.  Molecular heterogeneity of O-acetylserine sulfhydrylase by two-photon excited fluorescence fluctuation spectroscopy.

Authors:  G Chirico; S Bettati; A Mozzarelli; Y Chen; J D Müller; E Gratton
Journal:  Biophys J       Date:  2001-04       Impact factor: 4.033

3.  Fluorescence intensity multiple distributions analysis: concurrent determination of diffusion times and molecular brightness.

Authors:  K Palo; U Mets; S Jäger; P Kask; K Gall
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

Review 4.  New fluorescence techniques for high-throughput drug discovery.

Authors:  S Jäger; L Brand; C Eggeling
Journal:  Curr Pharm Biotechnol       Date:  2003-12       Impact factor: 2.837

5.  Fluorescence intensity and lifetime distribution analysis: toward higher accuracy in fluorescence fluctuation spectroscopy.

Authors:  Kaupo Palo; Leif Brand; Christian Eggeling; Stefan Jäger; Peet Kask; Karsten Gall
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

6.  Focal volume optics and experimental artifacts in confocal fluorescence correlation spectroscopy.

Authors:  Samuel T Hess; Watt W Webb
Journal:  Biophys J       Date:  2002-10       Impact factor: 4.033

7.  Saturation modified point spread functions in two-photon microscopy.

Authors:  Gianguido C Cianci; Jianrong Wu; Keith M Berland
Journal:  Microsc Res Tech       Date:  2004-06-01       Impact factor: 2.769

8.  Single-nucleotide polymorphism detection using nanomolar nucleotides and single-molecule fluorescence.

Authors:  Charles R Twist; Michael K Winson; Jem J Rowland; Douglas B Kell
Journal:  Anal Biochem       Date:  2004-04-01       Impact factor: 3.365

9.  The photon counting histogram in fluorescence fluctuation spectroscopy with non-ideal photodetectors.

Authors:  Lindsey N Hillesheim; Joachim D Müller
Journal:  Biophys J       Date:  2003-09       Impact factor: 4.033

10.  Development of a 1-microl scale assay for mitogen-activated kinase kinase 7 using 2-D fluorescence intensity distribution analysis anisotropy.

Authors:  Penny A Wright; Helen F Boyd; Richard C Bethell; Michael Busch; Phillip Gribbon; Joachim Kraemer; Eloisa Lopez-Calle; Thomas H Mander; Dirk Winkler; Neil Benson
Journal:  J Biomol Screen       Date:  2002-10
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  6 in total

1.  Simultaneous diffusion and brightness measurements and brightness profile visualization from single fluorescence fluctuation traces of GFP in living cells.

Authors:  Victor V Skakun; Ruchira Engel; Jan Willem Borst; Vladimir V Apanasovich; Antonie J W G Visser
Journal:  Eur Biophys J       Date:  2012-10-13       Impact factor: 1.733

2.  Extracting Transition Rates in Particle Tracking Using Analytical Diffusion Distribution Analysis.

Authors:  Jochem N A Vink; Stan J J Brouns; Johannes Hohlbein
Journal:  Biophys J       Date:  2020-10-04       Impact factor: 4.033

3.  The spectroscopic basis of fluorescence triple correlation spectroscopy.

Authors:  William K Ridgeway; David P Millar; James R Williamson
Journal:  J Phys Chem B       Date:  2012-02-08       Impact factor: 2.991

Review 4.  Protein folding at single-molecule resolution.

Authors:  Allan Chris M Ferreon; Ashok A Deniz
Journal:  Biochim Biophys Acta       Date:  2011-02-17

5.  Resolving fluorescent species by their brightness and diffusion using correlated photon-counting histograms.

Authors:  Nathan Scales; Peter S Swain
Journal:  PLoS One       Date:  2019-12-30       Impact factor: 3.240

6.  Combined FCS and PCH Analysis to Quantify Protein Dimerization in Living Cells.

Authors:  Laura M Nederveen-Schippers; Pragya Pathak; Ineke Keizer-Gunnink; Adrie H Westphal; Peter J M van Haastert; Jan Willem Borst; Arjan Kortholt; Victor Skakun
Journal:  Int J Mol Sci       Date:  2021-07-07       Impact factor: 5.923

  6 in total

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