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Research Overview
by SCDesign
In line with the updated Strategic Plan, the CBNS research structure focuses on four elements: the engineering of nanomaterials; the study of the interaction between these materials and the biological systems; the stimulation on immune responses; as well as the reporting of biological events.
The revised structure includes three research themes that underpin the research program:
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1 Delivery Systems and Vaccines – led by Professor Chris Porter (Monash) and Professor Stephen Kent (UoM)
2 Imaging and Visualisation – led by Professor Andrew Whittaker (UQ)
3 Sensors and Diagnostics – led by Professor Justin Gooding (UNSW)
Each theme has one or more signature project/s that will work towards achieving the research goals. Additionally, four overarching projects have been developed which span the research themes. Together, these projects illustrate the coordinated approach and complementary research conducted across the Centre and will ensure that fundamental discoveries in bio-nano science and technology enable a range of end-user applications. The signature projects capture the ultimate application of collaboration within the Centre’s research: every CBNS researcher engages in at least one of these signature projects embracing the collaborative spirit of the Centre.
Social dimensions of bio-nano interactions (page 24) Predicting bio-nano interactions (page 25) Development of complex cellular systems for the evaluation and characterisation of bio-nano interactions (page 26) Improved molecular imaging agents (page 27)
OVERARCHING PROJECTS
Research themes:
Signature projects:
Delivery Systems & Vaccines
A material scientist’s guide to the cell (page 18)
Overcoming challenges of in-vivo targeting (page 19)
Mediating protein interactions (page 20)
Sensors & Diagnostics
New tools for quantifying and manipulating rare entities directly in biological fluids (page 21)
Imaging & Visualisation
JTCC: Visualising bio-imaging and data in 3D virtual reality (page 22)
The research program and expertise within CBNS is presented in more detail in the following pages.
