Scattering fingerprints of two-state dynamics
Cai Dieball, Diego Krapf, Matthias Weiss, Alja\v{z} Godec

TL;DR
This paper introduces a theoretical framework for analyzing two-state particle dynamics using scattering fingerprints, aiding the interpretation of complex transport phenomena in biological and material systems.
Contribution
It develops a novel approach to identify multi-state dynamics through scattering signatures, complementing existing analysis methods.
Findings
Framework successfully applied to model systems and cell experiments
Enables differentiation between single- and multi-state transport
Applicable to various scattering techniques like DDM, neutron, and X-ray scattering
Abstract
Particle transport in complex environments such as the interior of living cells is often (transiently) non-Fickian or anomalous, that is, it deviates from the laws of Brownian motion. Such anomalies may be the result of small-scale spatio-temporal heterogeneities in, or viscoelastic properties of, the medium, molecular crowding, etc. Often the observed dynamics displays multi-state characteristics, i.e. distinct modes of transport dynamically interconverting between each other in a stochastic manner. Reliably distinguishing between single- and multi-state dynamics is challenging and requires a combination of distinct approaches. To complement the existing methods relying on the analysis of the particle's mean squared displacement, position- or displacement-autocorrelation function, and propagators, we here focus on "scattering fingerprints" of multi-state dynamics. We develop a…
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