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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Materials Map under construction

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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Jugé, Lauriane

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 2021Elevation of cell-associated HIV-1 RNA transcripts in CSF CD4+ T cells, despite suppressive antiretroviral therapy, is linked to in vivo brain injury1citations
  • 2021Magnetic Resonance Elastography Reconstruction for Anisotropic Tissues.33citations
  • 2019Paediatric brain tissue properties measured with magnetic resonance elastography.29citations
  • 2018Measurement of large strain properties in calf muscles in vivo using magnetic resonance elastography and spatial modulation of magnetization.10citations
  • 2016Liver Stiffness Values Are Lower in Pediatric Subjects than in Adults and Increase with Age: A Multifrequency MR Elastography Study.41citations
  • 2016Longitudinal measurements of postnatal rat brain mechanical properties in-vivo.14citations
  • 2014In vivo anisotropic mechanical properties of dystrophic skeletal muscles measured by anisotropic MR elastographic imaging: the mdx mouse model of muscular dystrophy.54citations
  • 2013Characterising soft tissues under large amplitude oscillatory shear and combined loading.56citations
  • 2012Colon tumor growth and antivascular treatment in mice: complementary assessment with MR elastography and diffusion-weighted MR imaging.56citations
  • 2010Site-specific conjugation of metal carbonyl dendrimer to antibody and its use as detection reagent in immunoassay.31citations
  • 2010Site-specific conjugation of metal carbonyl dendrimer to antibody and its use as detection reagent in immunoassay.31citations

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Dai, Lili
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Fischer-Durand, Nathalie
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Vessières, Anne
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Rudolf, Bogna
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Laprévote, Olivier
1 / 7 shared
Salmain, Michèle
1 / 2 shared
Jaouen, Gérard
1 / 1 shared
Guérineau, Vincent
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Co-Authors (by relevance)

  • Dai, Lili
  • Fischer-Durand, Nathalie
  • Vessières, Anne
  • Rudolf, Bogna
  • Laprévote, Olivier
  • Salmain, Michèle
  • Jaouen, Gérard
  • Guérineau, Vincent
OrganizationsLocationPeople

article

Characterising soft tissues under large amplitude oscillatory shear and combined loading.

  • Jugé, Lauriane
Abstract

Characterising soft biological tissues outside the linear viscoelastic regime is challenging due to their complex behaviour. In addition, the viscoelastic properties of tissues have been shown to be sensitive to sample preparation and loading regime resulting in inconsistent data varying by orders magnitude in the literature. This paper presents a novel technique to characterise the non-linear behaviour of tissues which uses Fourier Transformation to decompose the stress output waveform under large amplitude oscillatory shear (LAOS) into harmonic contributions. The effect of varying preload, the compressive strain exerted on a liver tissue specimen prior to shear testing to minimise slip, was also investigated. Results showed that in the linear regime, preload affects the viscoelastic response of liver. Histological analysis indicated that there were structural changes as a result of the preload that may be linked to the differences in observed behaviour. Fourier analysis was used to extract the first and third harmonic components of the shear moduli at large strain. At 50% shear strain, a change in the third harmonic component of the shear moduli was accompanied by a marked change in the micro-structural arrangement of the sinusoids. This paper demonstrates a method of efficiently characterising soft biological tissues under large amplitude oscillatory shear under combined loading.

Topics
  • impedance spectroscopy