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ACS Nano. 2018 Aug 28;12(8):8540-8546. doi: 10.1021/acsnano.8b04080. Epub 2018 Jul 26.

Statistical Analysis of Scanning Fluorescence Correlation Spectroscopy Data Differentiates Free from Hindered Diffusion.

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Institute of Applied Optics, Friedrich-Schiller-University and Leibniz Institute of Photonic Technology, Helmholtzweg 4 , 07743 Jena , Germany.
Kennedy Institute for Rheumatology , University of Oxford , Roosevelt Drive , Oxford OX3 7LF , United Kingdom.


Cells rely on versatile diffusion dynamics in their plasma membrane. Quantification of this often heterogeneous diffusion is essential to the understanding of cell regulation and function. Yet such measurements remain a major challenge in cell biology, usually due to low sampling throughput, a necessity for dedicated equipment, sophisticated fluorescent label strategies, and limited sensitivity. Here, we introduce a robust, broadly applicable statistical analysis pipeline for large scanning fluorescence correlation spectroscopy data sets, which uncovers the nanoscale heterogeneity of the plasma membrane in living cells by differentiating free from hindered diffusion modes of fluorescent lipid and protein analogues.


Brownian; actin cytoskeleton; diffusion modes; free and trapped diffusion; hindered diffusion dynamics; scanning FCS

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