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Biophys J, December 2000, p. 2858-2866, Vol. 79, No. 6
and
*EVOTEC BioSystems AG, D-22525 Hamburg, Germany, and
Institute of Experimental Biology, Harku 76902, Estonia
Fluorescence correlation spectroscopy (FCS) has proven to
be a powerful technique with single-molecule sensitivity. Recently, it
has found a complement in the form of fluorescence intensity distribution analysis (FIDA). Here we introduce a fluorescence fluctuation method that combines the features of both techniques. It is
based on the global analysis of a set of photon count number histograms, recorded with multiple widths of counting time intervals simultaneously. This fluorescence intensity multiple distributions analysis (FIMDA) distinguishes fluorescent species on the basis of both
the specific molecular brightness and the translational diffusion time.
The combined information, extracted from a single measurement,
increases the readout effectively by one dimension and thus breaks the
individual limits of FCS and FIDA. In this paper a theory is introduced
that describes the dependence of photon count number distributions on
diffusion coefficients. The theory is applied to a series of photon
count number histograms corresponding to different widths of counting
time intervals. Although the ability of the method to determine
specific brightness values, diffusion times, and concentrations from
mixtures is demonstrated on simulated data, its experimental
utilization is shown by the determination of the binding constant of a
protein-ligand interaction exemplifying its broad applicability in the
life sciences.
Biophys J, December 2000, p. 2858-2866, Vol. 79, No. 6
© 2000 by the Biophysical Society 0006-3495/00/12/2858/09 $2.00
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