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 (2/2 displayed)

  • 2018An automated step-wise micro-compression device for 3D dynamic image-guided failure assessment of bone tissue on a microstructural level using time-lapsed tomography11citations
  • 2011Analysis of sintered polymer scaffolds using concomitant synchrotron computed tomography and in situ mechanical testing29citations

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Müller, Ralph
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Schneider, Philipp
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Donaldson, Finn
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Vogel, Peter
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Meier, Matias
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2018
2011

Co-Authors (by relevance)

  • Müller, Ralph
  • Schneider, Philipp
  • Donaldson, Finn
  • Vogel, Peter
  • Meier, Matias
  • Rahman, Cheryl V.
  • White, Lincoln J.
  • Kuhn, Gisela
  • Rose, Felicity R. A. J.
  • Shakesheff, Kevin M.
  • Dhillon, Amritpaul
  • Reinwald, Yvonne
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article

An automated step-wise micro-compression device for 3D dynamic image-guided failure assessment of bone tissue on a microstructural level using time-lapsed tomography

  • Müller, Ralph
  • Schneider, Philipp
  • Donaldson, Finn
  • Levchuk, Alina
  • Vogel, Peter
  • Meier, Matias
Abstract

Microstructural bone phenotypes, such as the intracortical canal network, could be directly linked to the mechanical failure behavior of cortical bone tissue. In addition, high accumulation of microdamage can significantly increase bone brittleness and thus, is a precursor of mechanical failure. Here, we discuss the development and validation of an automated step-wise micro-compression device (MCD) for dynamic image-guided failure assessment (DIGFA) of intracortical bone microstructure and bone microdamage. The device was found to be highly accurate and precise with positioning errors of less than 1 µm and force errors of less than 1.25 N. In addition, the results of a first biological study using DIGFA and time-lapsed computed tomography are presented. In short, whole mouse femora from mature C57BL/6 (B6) and C3H/He (C3H) mice with mid-diaphyseal notches were tested in step-wise compression and concomitantly imaged until failure. DIGFA was performed at the TOMCAT beamline of the Swiss Light Source using synchrotron radiation-based computed tomography (SR CT). Following the experiment, intracortical porosity was separated into the canal network, osteocyte lacunae, and microcracks for subsequent morphometric evaluation. The thicker cortex of C3H was penetrated by a dense canal network, whereas in B6 only a few scattered canals were observed. For B6, the first occurrence of crack was noted at 1.45% local strain, while for C3H, crack initiation took place only at 2.66% local strain. In addition, we were able to relate whole bone mechanics to local failure events by deriving correlations between microstructural porosity and microdamage propagation. In conclusion, initiation and accumulation of microcracks were investigated for two mouse phenotypes demonstrating that DIGFA in combination with SR CT is a suitable technique for time-lapsed three-dimensional assessment of bone morphology and bone fracture behavior down to the cellular level.

Topics
  • impedance spectroscopy
  • morphology
  • experiment
  • tomography
  • laser emission spectroscopy
  • crack
  • porosity
  • fracture behavior