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Updated: Jun 29, 2026

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
Published on: December 11, 2021
Quantitative evaluation of cross correlation between two finite-length time series with applications to
1Department of Chemistry, Physical Biosciences Division, University of Calfornia at Berkeley, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Abstract:
The statistical properties of the cross correlation between two time series has been studied. An analytical expression for the cross correlation function's variance has been derived. On the basis of these results, a statistically robust method has been proposed to detect the existence and determine the direction of cross correlation between two time series. The proposed method has been characterized by computer simulations. Applications to single-molecule fluorescence spectroscopy are discussed. The results may also find immediate applications in fluorescence correlation spectroscopy (FCS) and its variants.
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