References of "Kerckhofs, Greet"
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See detailComputational modelling of local calcium ions release from calcium phosphate-based scaffolds
Manhas, Varun ULg; Guyot, Yann; Kerckhofs, Greet et al

in Biomechanics & Modeling in Mechanobiology (2016)

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See detailInvestigating in vitro calcium dissolution using a mathematical model
Manhas, Varun ULg; Guyot, Yann; Kerckhofs, Greet et al

Scientific conference (2016, March)

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See detailMultifactorial Optimization of Contrast-Enhanced Nanofocus Computed Tomography for Quantitative Analysis of Neo-Tissue Formation in Tissue Engineering Constructs.
Sonnaert, Maarten; Kerckhofs, Greet; Papantoniou, Ioannis et al

in PloS one (2015), 10(6), 0130227

To progress the fields of tissue engineering (TE) and regenerative medicine, development of quantitative methods for non-invasive three dimensional characterization of engineered constructs (i.e. cells ... [more ▼]

To progress the fields of tissue engineering (TE) and regenerative medicine, development of quantitative methods for non-invasive three dimensional characterization of engineered constructs (i.e. cells/tissue combined with scaffolds) becomes essential. In this study, we have defined the most optimal staining conditions for contrast-enhanced nanofocus computed tomography for three dimensional visualization and quantitative analysis of in vitro engineered neo-tissue (i.e. extracellular matrix containing cells) in perfusion bioreactor-developed Ti6Al4V constructs. A fractional factorial 'design of experiments' approach was used to elucidate the influence of the staining time and concentration of two contrast agents (Hexabrix and phosphotungstic acid) and the neo-tissue volume on the image contrast and dataset quality. Additionally, the neo-tissue shrinkage that was induced by phosphotungstic acid staining was quantified to determine the operating window within which this contrast agent can be accurately applied. For Hexabrix the staining concentration was the main parameter influencing image contrast and dataset quality. Using phosphotungstic acid the staining concentration had a significant influence on the image contrast while both staining concentration and neo-tissue volume had an influence on the dataset quality. The use of high concentrations of phosphotungstic acid did however introduce significant shrinkage of the neo-tissue indicating that, despite sub-optimal image contrast, low concentrations of this staining agent should be used to enable quantitative analysis. To conclude, design of experiments allowed us to define the most optimal staining conditions for contrast-enhanced nanofocus computed tomography to be used as a routine screening tool of neo-tissue formation in Ti6Al4V constructs, transforming it into a robust three dimensional quality control methodology. [less ▲]

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See detailInvestigating cell-carrier combinations for bone formation using a mathematical model
Manhas, Varun ULg; Guyot, Yann ULg; Chai, Yoke C et al

Poster (2014, November 28)

This study describes the development and implementation of a bio-regulatory model that focuses on the Ca2+ release from CaP scaffolds and aims to determine the local Ca2+ concentration of different ... [more ▼]

This study describes the development and implementation of a bio-regulatory model that focuses on the Ca2+ release from CaP scaffolds and aims to determine the local Ca2+ concentration of different clinical grade CaP scaffold types during bone formation. [less ▲]

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See detailMathematical modelling of bone formation based on local Ca2+ concentrations in calcium phosphate scaffolds
Manhas, Varun ULg; Guyot, Yann; Chai, Yoke Chin et al

Poster (2014, September)

In tissue engineering applications, scaffolds act as carriers for cells and growth factors that restore the functionality of an organ either permanently or temporarily. Since their introduction, calcium ... [more ▼]

In tissue engineering applications, scaffolds act as carriers for cells and growth factors that restore the functionality of an organ either permanently or temporarily. Since their introduction, calcium phosphates (CaP) have proven to be an excellent bone substitute material, however, the complexity of the in vitro and in vivo behavior has not been elucidated completely. Computational models can help us to gain a comprehensive understanding of this complexity, allowing improvement of the design for optimal bone healing. For the development of a mathematical model accounting for the complexity of CaP driven bone formation, this study focuses on the Ca2+ release from CaP scaffolds and aims to determine the local Ca2+ concentration of different clinical grade CaP scaffold types during bone formation. [less ▲]

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