[Improved data processing method of fluorescence correlation spectroscopy]

By the unique ability of measuring concentration and diffusion coefficient, fluorescence correlation spectroscopy (FCS) has kept enlarging and deepening its application fields which need measuring 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 chart is little or confused. Aiming at the above problems, we tried a new data processing method with differential treatment to find out whether it has multi-fluorescent-components and estimate the parameters intuitionally in the chart. The differential curves of treated autocorrelation curves have various positions, depths and full widths at half depth of the trough, by which the characteristic diffusion time and the number of the fluorescent components are decided. This improved processing method provides help for the FCS measurement in complex environment of life.