Fluorescence Correlation Spectroscopy Theory and Applications

Improvements in microscopy, data acquisition, and data processing have greatly shortened the time required for FCS measurements. FCS can now be routinely applied to labile systems such as cells, and for the acquisition of large volumes of data as required for high-throughput screening. Cross correlation methods pro vide a powerful tool for characterizing interactions among different molecular species. Analysis of the amplitude of concentration fluctuations can provide a wealth of information about aggregation/polymerization process and the compositions of mixtures. Furthermore, FCS provides a bridge between conventional measurements of dynamic processes on a macroscopic concentration scale and the currently developing field of single molecule measurements. Both FCS and single mole cule approaches measure directly stochastic fluctuations in molecular pro perties, and so must be analyzed by statistical methods to yield conventional phenomenological parameters. As commonly practiced, FCS yields these phe nomenological parameters, e. g. , diffusion coefficients and chemical rate con stants, directly in terms of a fluorescence fluctuation autocorrelation func tion.

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