Kavli Affiliate: David A. Weitz
| First 5 Authors: Ella M. King, Zizhao Wang, David A. Weitz, Frans Spaepen, Michael P. Brenner
| Summary:
Despite significant advances in particle imaging technologies over the past
two decades, few advances have been made in particle tracking, i.e. linking
individual particle positions across time series data. The state-of-the-art
tracking algorithm is highly effective for systems in which the particles
behave mostly independently. However, these algorithms become inaccurate when
particle motion is highly correlated, such as in dense or strongly interacting
systems. Accurate particle tracking is essential in the study of the physics of
dense colloids, such as the study of dislocation formation, nucleation, and
shear transformations. Here, we present a new method for particle tracking that
incorporates information about the correlated motion of the particles. We
demonstrate significant improvement over the state-of-the-art tracking
algorithm in simulated data on highly correlated systems.
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