2017
DOI: 10.1063/1.4983047
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Refractive index matched scanning and detection of soft particles

Abstract: We describe here how to apply the three-dimensional imaging technique of refractive index matched scanning to hydrogel spheres. Hydrogels are water based materials with a low refractive index, which allows for index matching with water-based solvent mixtures. We discuss here various experimental techniques required to handle specifically hydrogel spheres as opposed to other transparent materials. The deformability of hydrogel spheres makes their identification in three-dimensional images non-trivial. We will a… Show more

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Cited by 47 publications
(54 citation statements)
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“…Soft monodisperse hydrogel spheres [24,25] are incompressible, but deformable by moderate pressures so that they can adopt their shapes to local static conditions in the container. This changes the pressure profile and the discharge characteristic, as well as the flow field inside the container, and leads to a fill-height dependent outflow.…”
mentioning
confidence: 99%
“…Soft monodisperse hydrogel spheres [24,25] are incompressible, but deformable by moderate pressures so that they can adopt their shapes to local static conditions in the container. This changes the pressure profile and the discharge characteristic, as well as the flow field inside the container, and leads to a fill-height dependent outflow.…”
mentioning
confidence: 99%
“…Where the interstitial liquid can be chosen freely, index matching provides a means to acquire 3D data. 34 Alternatively, it is possible to embrace the multiple scattering effects and use coherent light to gather information from the resulting speckle pattern. 35 Finally, we can abandon the range of visible light entirely and instead use penetrating radiation to obtain the data from the bulk of the sample.…”
Section: Current Challengesmentioning
confidence: 99%
“…40 In addition, there are a number of post-processing methods to detect the location of a particle surface, for which the shape does not have to be known a priori. 34,51 After the extraction of detailed shape information about the location of the outer boundary of each particle, further analysis of the experimental data becomes possible. Common techniques include examining nearest neighbor distributions, 40 particle tracking and velocimetry (see Sec.…”
Section: Acquiring Particle Positions Orientations and Shapesmentioning
confidence: 99%
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