Q-Sand (TM): Whispering Gallery Mode Detection System For Ultrasensitive And Label Free Testing In Biotechnology.
Funder
National Health and Medical Research Council
Funding Amount
$127,750.00
Summary
Quantum Dots, a type of nanocrystal, have been shown to emit light at a very precise wavelength. Quantum dots of approximately 5 nm in diameter have been conjugated to a silica microsphere and then coated with free silica, thus encasing the Quantum Dots in a small chamber surrounding the microsphere. This structure is analogous to a light globe under a lampshade. Just as one can change the nature of the lamplight by changing the lampshade, one can change the Quantum Dot emitted light by changing ....Quantum Dots, a type of nanocrystal, have been shown to emit light at a very precise wavelength. Quantum dots of approximately 5 nm in diameter have been conjugated to a silica microsphere and then coated with free silica, thus encasing the Quantum Dots in a small chamber surrounding the microsphere. This structure is analogous to a light globe under a lampshade. Just as one can change the nature of the lamplight by changing the lampshade, one can change the Quantum Dot emitted light by changing the surface of the microsphere. Since the scale is so small (each microsphere is about the size of a single bacterial cell), the amount and nature of the material needed to bind to the surface to effect a detectable change is also very small, on the order of just of few tens or hundreds of molecules. This project seeks to exploit this principle to create a new class of ultra sensitive detector which can be used in many sorts of applications such as medical diagnostics and biosensing.Read moreRead less
Development Of A Computer-based Retinal Imaging Program For Identification Of People At Risk Of Cardiovascular Disease.
Funder
National Health and Medical Research Council
Funding Amount
$254,714.00
Summary
Cardiovascular disease is the leading cause of death and imposes an enormous financial and healthcare burden on the Australian community. This project will develop and deliver a novel clinical prediction tool, incorporating retinal vascular imaging and assessment, to improve identification of asymptomatic people who are at high risk of cardiovascular disease at an early stage, allowing implementation of preventative strategies and medical interventions to effectively prevent CV disease.