An alternative framework for fluorescence correlation spectroscopy

Sina Jazani, Ioannis Sgouralis, Omer M. Shafraz, Marcia Levitus, Sanjeevi Sivasankar and Steve Pressé ()
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Sina Jazani: Arizona State University
Ioannis Sgouralis: Arizona State University
Omer M. Shafraz: University of California
Marcia Levitus: Arizona State University
Sanjeevi Sivasankar: University of California
Steve Pressé: Arizona State University

Nature Communications, 2019, vol. 10, issue 1, 1-10

Abstract: Abstract Fluorescence correlation spectroscopy (FCS), is a widely used tool routinely exploited for in vivo and in vitro applications. While FCS provides estimates of dynamical quantities, such as diffusion coefficients, it demands high signal to noise ratios and long time traces, typically in the minute range. In principle, the same information can be extracted from microseconds to seconds long time traces; however, an appropriate analysis method is missing. To overcome these limitations, we adapt novel tools inspired by Bayesian non-parametrics, which starts from the direct analysis of the observed photon counts. With this approach, we are able to analyze time traces, which are too short to be analyzed by existing methods, including FCS. Our new analysis extends the capability of single molecule fluorescence confocal microscopy approaches to probe processes several orders of magnitude faster and permits a reduction of photo-toxic effects on living samples induced by long periods of light exposure.

Date: 2019
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DOI: 10.1038/s41467-019-11574-2

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