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Franco Vittur

Researcher at University of Trieste

Publications -  73
Citations -  2819

Franco Vittur is an academic researcher from University of Trieste. The author has contributed to research in topics: Cartilage & Chondrocyte. The author has an hindex of 29, co-authored 73 publications receiving 2706 citations. Previous affiliations of Franco Vittur include Slovak Academy of Sciences.

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Articular cartilage repair in rabbits by using suspensions of allogenic chondrocytes in alginate.

TL;DR: Practical a complete repair of the defect was observed 4-6 months from the implant of the chondrocytes with the recovery of a normal tissue structure, and controls in which Ca-alginate alone was implanted developed only a fibrous cartilage.
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The aggregation of pig articular chondrocyte and synthesis of extracellular matrix by a lactose-modified chitosan.

TL;DR: The results show that the lactose-modified chitosan is non-toxic and stimulates the production of aggrecan and type II collagen.
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Inhomogeneous alginate gel spheres: An assessment of the polymer gradients by synchrotron radiation-induced x-ray emission, magnetic resonance microimaging, and mathematical modeling

TL;DR: The experimentally determined gradients from three-dimensional gels provide data to reevaluate the parameter estimates in the recently reported mathematical model for alginate gel formation and may account for the gels being less inhomogeneous when nongelling sodium or magnesium ions are added during gelation.
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Correlation between biochemical composition and magnetic resonance appearance of articular cartilage

TL;DR: The MR appearance of articular cartilage correlates with the collagen content, but not with that of PGs, of the different zones, demonstrating that other matrix components might influence the MR appearance by contributing to the macromolecular organization of the tissue.
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Chemical imaging of articular cartilage sections with Raman mapping, employing uni- and multi-variate methods for data analysis

TL;DR: Partial least squares regression model gives a semiquantitative mapping of the biochemical constituents in agreement with average composition found in the literature, and the combination of hierarchical and fuzzy cluster analysis succeeds in detecting variations between different regions of the extra-cellular matrix.