Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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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)

  • 2024In situ stress estimation in quantitative micro-elastography2citations

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Chart of shared publication
Vahala, Danielle
1 / 1 shared
Li, Jiayue
1 / 1 shared
Metzner, Kai
1 / 1 shared
Maher, Samuel
1 / 1 shared
Navaeipour, Farzaneh
1 / 2 shared
Hepburn, Matt S.
1 / 2 shared
Amos, Sebastian Elliot
1 / 1 shared
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2024

Co-Authors (by relevance)

  • Vahala, Danielle
  • Li, Jiayue
  • Metzner, Kai
  • Maher, Samuel
  • Navaeipour, Farzaneh
  • Hepburn, Matt S.
  • Amos, Sebastian Elliot
OrganizationsLocationPeople

article

In situ stress estimation in quantitative micro-elastography

  • Choi, Yu Suk
  • Vahala, Danielle
  • Li, Jiayue
  • Metzner, Kai
  • Maher, Samuel
  • Navaeipour, Farzaneh
  • Hepburn, Matt S.
  • Amos, Sebastian Elliot
Abstract

<p>In quantitative micro-elastography (QME), a pre-characterized compliant layer with a known stress-strain curve is utilized to map stress at the sample surface. However, differences in the boundary conditions of the compliant layer when it is mechanically characterized and when it is used in QME experiments lead to inconsistent stress estimation and consequently, inaccurate elasticity measurements. Here, we propose a novel in situ stress estimation method using an optical coherence tomography (OCT)-based uniaxial compression testing system integrated with the QME experimental setup. By combining OCT-measured axial strain with axial stress determined using a load cell in the QME experiments, we can estimate in situ stress for the compliant layer, more accurately considering its boundary conditions. Our proposed method shows improved accuracy, with an error below 10%, compared to 85% using the existing QME technique with no lubrication. Furthermore, demonstrations on hydrogels and cells indicate the potential of this approach for improving the characterization of the micro-scale mechanical properties of cells and their interactions with the surrounding biomaterial, which has potential for application in cell mechanobiology.</p>

Topics
  • impedance spectroscopy
  • surface
  • experiment
  • tomography
  • stress-strain curve
  • elasticity