IHE Colloquium: Prof Melissas Knothe Tate
06 March 2019, 12:00 pm–1:00 pm

Connectomics to biotextilogy: thinking inversely and recursively to engineering advanced materials and medical devices
Event Information
Open to
- All
Organiser
-
Institute of Healthcare Engineering
Location
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508Roberts BuildingTorrington PlaceLondonWC1E 7JEUnited Kingdom
ABSTRACT
Through the combination of novel microscopy protocols for imaging live cells and tissues as well as experimental mechanics methods, we have begun to elucidate mechanisms underpinning emergent properties of hierarchical materials such as tissues. We refer to the process as Microscopy Aided Design And Manufacture (MADAMe). We apply this paired imaging and computational technology approach to engineer advanced materials that emulate the smart mechanical properties of tissues. These materials have applications in diverse arenas, from medical implants to the transport and sports industries.
This talk integrates our understanding of cells, expert tissue prototypers, and their networks, to emulating cellular approaches to engineer and manufacture materials and medical devices of the future.
THE SPEAKER
Prof Melissa Knothe Tate is a Professor and Paul Trainor Chair of Biomedical Engineering at the University of New South Wales in Sydney, Australia. She is a leading expert on cell biology and regenerative medicine. Spanning from stem cell mechanobiology to technology development, her principal focus has been on multiscale computational and experimental approaches to uncover and harness biophysical signals that promote tissue generation and healing.
About the Speaker
Prof Melissa Knothe Tate
Professor of Biomedical Engineering at University of New South Wales
Prof Melissa Knothe Tate is a Professor and Paul Trainor Chair of Biomedical Engineering at the University of New South Wales in Sydney, Australia. She is a leading expert on cell biology and regenerative medicine. Spanning from stem cell mechanobiology to technology development, her principal focus has been on multiscale computational and experimental approaches to uncover and harness biophysical signals that promote tissue generation and healing.