Improvement of the Data Processing Method in Fluorescence Correlation Spectroscopy

In recent years, by the unique ability in measuring concentration and diffusion coefficient, fluorescence correlation spectroscopy (FCS) kept enlarging and deepening its application fields which need measuring of physicochemical properties in complex mixtures. However, the classical data processing method in FCS, generally induces errors in the fitting parameters, and the intuitionistic information in the figure is little. In this paper, we tried new data processing method with differential treatment, to find out whether it has multi-fluorescent-components and estimate the parameters intuitionally. The differential curves of treated autocorrelation curves have various positions, depths and the full widths at the half depth of the trough, by which the character diffusion time and the number of the fluorescent components are decided. This improvement of processing method provides help for the FCS measurement in complex environment of life.