AI Article Synopsis
- The study focuses on measuring and understanding the hydrodynamic interactions of micro-silica spheres in various particle networks using holographic optical tweezers.
- The research identifies characteristic eigenmodes of three different multi-particle configurations: a linear chain, a square grid, and a ring, within 20-40 seconds of observation.
- The findings confirm that the behavior of the eigenmodes and their decay rates align with theoretical predictions from the Oseen tensor and Langevin equation, and demonstrate the potential of the micro-ring to serve as a non-invasive sensor for measuring local viscosity changes.
Article Abstract
The hydrodynamic interactions of micro-silica spheres trapped in a variety of networks using holographic optical tweezers are measured and characterized in terms of their predicted eigenmodes. The characteristic eigenmodes of the networks are distinguishable within 20-40 seconds of acquisition time. Three different multi-particle networks are considered; an eight-particle linear chain, a nine-particle square grid and, finally, an eight-particle ring. The eigenmodes and their decay rates are shown to behave as predicted by the Oseen tensor and the Langevin equation, respectively. Finally, we demonstrate the potential of using our micro-ring as a non-invasive sensor to the local environmental viscosity, by showing the distortion of the eigenmode spectrum due to the proximity of a planar boundary.
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| http://dx.doi.org/10.1002/jbio.201000003 | DOI Listing |
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