2011
DOI: 10.1063/1.3647875
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How to compare diffusion processes assessed by single-particle tracking and pulsed field gradient nuclear magnetic resonance

Abstract: Heterogeneous diffusion processes occur in many different fields such as transport in living cells or diffusion in porous media. A characterization of the transport parameters of such processes can be achieved by ensemble-based methods, such as pulsed field gradient nuclear magnetic resonance (PFG NMR), or by trajectory-based methods obtained from single-particle tracking (SPT) experiments. In this paper, we study the general relationship between both methods and its application to heterogeneous systems. We de… Show more

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Cited by 26 publications
(31 citation statements)
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“…Another tool that can be used to analyze diffusion processes is the DOGD [33,[35][36][37][38][39]. A generalized diffusivity is thereby defined as a single squared displacement which is rescaled with the asymptotic time dependence of the mean-squared displacement: D…”
Section: Distribution Of Generalized Diffusivities (Dogd)mentioning
confidence: 99%
See 1 more Smart Citation
“…Another tool that can be used to analyze diffusion processes is the DOGD [33,[35][36][37][38][39]. A generalized diffusivity is thereby defined as a single squared displacement which is rescaled with the asymptotic time dependence of the mean-squared displacement: D…”
Section: Distribution Of Generalized Diffusivities (Dogd)mentioning
confidence: 99%
“…By choosing appropriate values of the parameters m, b, and σ, this slightly modified AR(1) process is able to reproduce the statistics of the observed inter-explosions times for the soliton motion. For instance, the autocorrelation function, equation (35), represented in figure 18 captures the detailed features present in figure 15. The time-continuous model reproduces the velocity correlation function of the soliton motion, in particular, the progressive broadening of the positive peaks and the effect that the correlation length of the velocity is much smaller than the correlation length of the spatial shifts as depicted in figure 19.…”
Section: Continuous-time Modelsmentioning
confidence: 99%
“…Thus, one may analyze the first passage behavior [51], moment ratios and the statistics of mean maximal excursions [52], the velocity autocorrelation [29,35], the statistics of the apparent diffusivities [53], or the p-variation of the data [54,55]. In the following we analyze the sensitivity of the time averaged MSD and its amplitude scatter as well as the p-variation method to noise, that is superimposed to naked subdiffusive CTRWs.…”
Section: Anomalous Diffusion and Single Particle Trackingmentioning
confidence: 99%
“…We mention the amplitude scatter statistics, 46 increment autocorrelations, 23,40 higher order moments, 175,176 mean maximal excursion methods, 175 p-variation, 177,178 fusivity. 179 …”
Section: Discussionmentioning
confidence: 97%