Metrology in regenerative medicine aims to develop traceable measurement technologies for characterizing cellular and macromolecule behaviour in regenerative medicine products and processes. One key component in regenerative medicine is using three-dimensional porous scaffolds to guide cells during the regeneration process. The regeneration of specific tissues guided by tissue analogous substrates is dependent on diverse scaffold architectural properties that can be derived quantitatively from scaffolds images. This paper discuss the results obtained with the multimodal NLO microscope recently realized in our laboratory in characterizing 3D tissue engineered (TE) scaffolds colonized from human Mesenchimal stem cells (hMSC), focusing on the study of the three-dimensional metrological parameters.
Scaffold characterization using NLO multimodal microscopy in metrology for regenerative medicine / Leonardo, Mortati; Carla, Divieto; Boffito, Monica; Sartori, Susanna; Ciardelli, Gianluca; Maria Paola, Sassi. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - (2013), pp. 1-6.
Scaffold characterization using NLO multimodal microscopy in metrology for regenerative medicine
BOFFITO, MONICA;SARTORI, SUSANNA;CIARDELLI, GIANLUCA;
2013
Abstract
Metrology in regenerative medicine aims to develop traceable measurement technologies for characterizing cellular and macromolecule behaviour in regenerative medicine products and processes. One key component in regenerative medicine is using three-dimensional porous scaffolds to guide cells during the regeneration process. The regeneration of specific tissues guided by tissue analogous substrates is dependent on diverse scaffold architectural properties that can be derived quantitatively from scaffolds images. This paper discuss the results obtained with the multimodal NLO microscope recently realized in our laboratory in characterizing 3D tissue engineered (TE) scaffolds colonized from human Mesenchimal stem cells (hMSC), focusing on the study of the three-dimensional metrological parameters.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2535693
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