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The archive file, "SW Experiments 170316.zip", contains all images obtained on 17 Mar 2016. Each file should involve images captured using a microscope of magnetic microbeads being conveyed in a glass capillary channel, focused into a single trajectory by a standing wave ultrasound field, and then magnetically deflected towards a magnet array, following the method described in the related publication. The .zip archive can be accessed along with all other parts ("SW Experiments 170316.z01" and "SW Experiments 170316.z02"), and the image files are organized inside the archive based on the nominal distance between the glass channel and magnet array, and labelled based on the experimental parameters set while the image was captured, including volumetric flow rate, run number and signal generator voltage. The .opj files can be opened using Origin (OriginLab, MA, USA). The file "Numerical simulations with linear Halbach Array.opj" contains data resulting from numerical simulations that are described and reported in section 3.1 of the related publication. The file "Numerical simulations with other magnetic systems.opj" contains data resulting from numerical simulations that are described and reported in section 3.3 of the related publication. The file "Magnetometry.opj" contains data resulting from magnetometry measurements of an ensemble of magnetic microbeads; the results are described and reported in appendix A of the related publication. The file "Analytical capture efficiencies with different initial distributions.opj" contains data resulting from semi-analytical simulations that are described and reported in appendix C of the related publication. The file, "Glass capillary device.mph" can be opened using COMSOL Multiphysics (COMSOL, Inc, Burlington, MA, USA) and contains a finite element model of the device used to generate an ultrasound standing wave inside a glass capillary channel. Results of simulations using this model are described and reported in appendix B of the related publication.

Original publication

DOI

10.5287/bodleian:bx9jQBJdo

Type

Dataset

Publisher

University of Oxford

Publication Date

01/01/2017