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Doctoral Fellowships

Development of a pattern recognition method for quality testing of TE scaffolds and constructs (ESR10)



The aim of this Fellowship is to develop a machine-vision and pattern recognition method for semi-automatic quality control in production processes, which will be used to correlate qualitative information from histological sections of native tissues, and TE scaffolds and constructs, to quantitative measurements of ECM constitution and mechanical integrity. Histological sections of native porcine aortic and pulmonary valves, pericardium and myocardium will be produced and scanned by optical microscopy in order to record the length, thickness, distribution and orientation of the extracellular matrix (ECM) fibres, and the distribution of the cell nuclei. The recorded information will be translate into algorithms and correlated to the DNA and ECM protein content, and stress-strain behaviour of the tissues. The evolving pattern database will be used to understand the connection between micro-scale tissue morphology and meso-scale mechanics and to apply such knowledge to ensure TE construct quality. Once established, the method will be used to assess histological sections of valvular and pericardial scaffolds, and cell-seeded TE heart valves and myocardial patches that will be developed in additional ESR projects within the TECAS-ITN.




Research Field: Cardiovascular tissue engineering and regenerative medicine


Collaborators: Hannover Medical School, RWTH Aachen University, University of Padua


Supervision: Dr. Michael Harder (PI), Dr. Sergei Cebotari (co-I), Dr. Sotirios Korossis (co-I), Dr. Andres Hilfiker (co-I), Prof. Stefan Jockenhövel (co-I), Prof. Gino Gerosa (co-I)


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TECAS-ITN End-of-Network Conference

 Padua, November 28-30, 2016

The TECAS-ITN European Doctoral Academy in Regenerative Engineering, is organising the End-of-Network Conference in Padua, Italy.

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