Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2020Statistic estimation of cell compressibility based on acoustophoretic separation data9citations

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Garofalo, Fabio
1 / 3 shared
Lenshof, Andreas
1 / 2 shared
Urbansky, Anke
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Laurell, Thomas
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Ekblad, Lars
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Bonestroo, Alexander C.
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Olm, Franziska
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2020

Co-Authors (by relevance)

  • Garofalo, Fabio
  • Lenshof, Andreas
  • Urbansky, Anke
  • Laurell, Thomas
  • Ekblad, Lars
  • Bonestroo, Alexander C.
  • Olm, Franziska
OrganizationsLocationPeople

article

Statistic estimation of cell compressibility based on acoustophoretic separation data

  • Garofalo, Fabio
  • Lenshof, Andreas
  • Urbansky, Anke
  • Laurell, Thomas
  • Ekblad, Lars
  • Bonestroo, Alexander C.
  • Scheding, Stefan
  • Olm, Franziska
Abstract

<p>We present a new experimental method that measures the compressibility of phenotype-specific cell populations. This is done by performing statistical analysis of the cell counts from the outlets of an acoustophoresis chip as a function of the increasing actuator voltage (i.e. acoustic energy density) during acoustophoretic separation. The theoretical separation performance curve, henceforth, Side-Stream Recovery (SSR), vs the piezo-actuator voltage (V) is derived by moment analysis of a one-dimensional model of acoustophoresis separation, accounting for distributions of the cell or microparticle properties and the system parameters (hydrodynamics, radiation force, drag enhancement, and acoustic streaming). The acoustophoretic device is calibrated with polymer microbeads of known properties by fitting the experimental SSR with the theoretical SSR , in which the acoustic energy density is considered proportional to the squared voltage, i.e. Eac=αV2. The fitting parameter α for the calibration procedure is the device effectivity, reflecting the efficiency in performing acoustophoretic microparticle displacement. Once calibrated, the compressibility of unknown cells is estimated by fitting experimental SSR cell data points with the theoretical SSR curve. In this procedure, the microparticle compressibility is the fitting parameter. The method is applied to estimate the compressibility of a variety of cell populations showing its utility in terms of rapid analysis and need for minute sample amounts.</p>

Topics
  • density
  • impedance spectroscopy
  • polymer
  • energy density
  • one-dimensional