| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Sherratt, Michael J.
in Cooperation with on an Cooperation-Score of 37%
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Publications (7/7 displayed)
- 2016Frequency-modulated atomic force microscopy localises viscoelastic remodelling in the ageing sheep aortacitations
- 2014Growth differentiation factor 6 and transforming growth factor-beta differentially mediate mesenchymal stem cell differentiation, composition, and micromechanical properties of nucleus pulposus constructscitations
- 2014Localized micro- and nano-scale remodelling in the diabetic aortacitations
- 2012Multi-layer phase analysis: Quantifying the elastic properties of soft tissues and live cells with ultra-high-frequency scanning acoustic microscopycitations
- 2011Quantifying micro-mechanical properties of soft biological tissues with scanning acoustic microscopycitations
- 2011Network connectivity, mechanical properties and cell adhesion for hyaluronic acid/PEG hydrogelscitations
- 2008Nanoindentation of histological specimens using an extension of the Oliver and Pharr methodcitations
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document
Quantifying micro-mechanical properties of soft biological tissues with scanning acoustic microscopy
Abstract
In this study we have established a new approach to more accurately map acoustic wave speed (which is a measure of stiffness) within soft biological tissues at micrometer length scales using scanning acoustic microscopy. By using thin (5 μm thick) histological sections of human skin and porcine cartilage, this method exploits the phase information preserved in the interference between acoustic waves reflected from the substrate surface as well as internal reflections from the acoustic lens. A stack of images were taken with the focus point of acoustic lens positioned at or above the substrate surface, and processed pixel by pixel using custom software developed with LABVlEW and IMAQ (National Instruments) to extract phase information. Scanning parameters, such as acoustic wave frequency and gate position were optimized to get reasonable phase and lateral resolution. The contribution from substrate inclination or uneven scanning surface was removed prior to further processing. The wave attenuation was also obtained from these images. © 2011 Materials Research Society.