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• W2022706217 abstract "Anomalous diffusion has been observed abundantly in the plasma membrane of biological cells, but the underlying mechanisms are still unclear. In general, it has not been possible to directly image the obstacles to diffusion in membranes, which are thought to be skeleton bound proteins, protein aggregates, and lipid domains, so the dynamics of diffusing particles is used to deduce the obstacle characteristics. We present a supported lipid bilayer system in which we characterized the anomalous diffusion of lipid molecules using single molecule tracking, while at the same time imaging the obstacles to diffusion with atomic force microscopy. To explain our experimental results, we performed lattice Monte Carlo simulations of tracer diffusion in the presence of the experimentally determined obstacle configurations. We correlate the observed anomalous diffusion with obstacle area fraction, fractal dimension, and correlation length. To accurately measure an anomalous diffusion exponent, we derived an expression to account for the time-averaging inherent to all single molecule tracking experiments. We show that the length of the single molecule trajectories is critical to the determination of the anomalous diffusion exponent. We further discuss our results in the context of confinement models and the generating stochastic process." @default.
• W2022706217 created "2016-06-24" @default.
• W2022706217 creator A5059606590 @default.
• W2022706217 creator A5067995239 @default.
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• W2022706217 date "2011-06-07" @default.
• W2022706217 modified "2023-10-01" @default.
• W2022706217 title "Correlating anomalous diffusion with lipid bilayer membrane structure using single molecule tracking and atomic force microscopy" @default.
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• W2022706217 doi "https://doi.org/10.1063/1.3596377" @default.
• W2022706217 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3129338" @default.
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• W2022706217 hasPublicationYear "2011" @default.
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