Literature DB >> 28230994

Artifact-Free and Detection-Profile-Independent Higher-Order Fluorescence Correlation Spectroscopy for Microsecond-Resolved Kinetics. 1. Multidetector and Sub-Binning Approach.

Farshad Abdollah-Nia1, Martin P Gelfand1, Alan Van Orden1.   

Abstract

Fluorescence correlation spectroscopy (FCS) is a powerful tool in the time-resolved analysis of nonreacting or reacting molecules in solution, based on fluorescence intensity fluctuations. However, conventional (second-order) FCS alone is insufficient to measure all parameters needed to describe a reaction or mixture, including concentrations, fluorescence brightnesses, and forward and reverse rate constants. For this purpose, correlations of higher powers of fluorescence intensity fluctuations can be calculated to yield additional information from the single-photon data stream collected in an FCS experiment. To describe systems of diffusing and reacting molecules, considering cumulants of fluorescence intensity results in simple expressions in which the reaction and diffusion parts factorize. The computation of higher-order correlations in experiments is hindered by shot-noise and common detector artifacts, the effects of which become worse with increasing order. In this article, we introduce a technique to calculate artifact-free higher-order correlation functions with improved time resolution, and without any need for modeling and calibration of detector artifacts. The technique is formulated for general multidetector experiments and verified in both two-detector and single-detector configurations. Good signal-to-noise ratio is achieved down to 1 μs in correlation curves up to order (2, 2). This capability makes possible a variety of new measurements including multicomponent analysis and fast reaction kinetics, as demonstrated in a companion article (10.1021/acs.jpcb.7b00408).

Year:  2017        PMID: 28230994     DOI: 10.1021/acs.jpcb.7b00407

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  3 in total

1.  Number and Brightness Analysis: Visualization of Protein Oligomeric State in Living Cells.

Authors:  Ryosuke Fukushima; Johtaro Yamamoto; Masataka Kinjo
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

2.  Two-Color Spatial Cumulant Analysis Detects Heteromeric Interactions between Membrane Proteins.

Authors:  Daniel J Foust; Antoine G Godin; Alessandro Ustione; Paul W Wiseman; David W Piston
Journal:  Biophys J       Date:  2019-09-28       Impact factor: 4.033

3.  Resolving fluorescent species by their brightness and diffusion using correlated photon-counting histograms.

Authors:  Nathan Scales; Peter S Swain
Journal:  PLoS One       Date:  2019-12-30       Impact factor: 3.240

  3 in total

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