Industrial Transformation Research Hubs - Grant ID: IH150100028
Funder
Australian Research Council
Funding Amount
$3,708,510.00
Summary
ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecu ....ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecules. The initial focus would be early diagnosis of disease and point-of-care drug testing for humans and animals, but the technology platform could be used to sample food and environmental toxins. The hub expects these disruptive technologies will make Australian biotechnology, diagnostics, veterinary, agribusiness and manufacturing firms globally competitive.Read moreRead less
Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the ....Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the approach to image artefacts and image quantification. This project is expected to advance both single subject and population level biomedical imaging with greater accuracy and cost-effectiveness. This project also promotes explainable and generalisable artificial intelligence in medical imaging.Read moreRead less
Breakthrough technologies in implantable bionics. This project aims to introduce revolutionary changes in implantable bionics via miniaturisation, automation and improved reliability and generating new knowledge by leveraging recent advances in laser processes. Expected outcomes include innovative hybrid thin-film/thick-film electrode arrays with more channels and charge-carrying capacity for neuromodulation; novel glass interfaces that facilitate deeply-miniaturised hermetic packages; and failu ....Breakthrough technologies in implantable bionics. This project aims to introduce revolutionary changes in implantable bionics via miniaturisation, automation and improved reliability and generating new knowledge by leveraging recent advances in laser processes. Expected outcomes include innovative hybrid thin-film/thick-film electrode arrays with more channels and charge-carrying capacity for neuromodulation; novel glass interfaces that facilitate deeply-miniaturised hermetic packages; and failure analysis to ensure study aims result in new processes that are as or more reliable than the current state-of-the-art. This work will create new and novel manufacturing processes, and trains the next generation of innovators equipped with the tools to advance implantable bionics into the future.Read moreRead less
Bridging the gap between global mechanics and regional imaging in the lungs. The detailed mechanics of breathing are not well understood, due to a lack of regional lung measurement techniques. This project aims to develop a powerful analysis tool to image in vivo mechanical properties of the lungs. The expected outcome of this project is a novel platform for investigation and understanding of lung function, enabling information previously only available for the whole lung to be calculated for lo ....Bridging the gap between global mechanics and regional imaging in the lungs. The detailed mechanics of breathing are not well understood, due to a lack of regional lung measurement techniques. This project aims to develop a powerful analysis tool to image in vivo mechanical properties of the lungs. The expected outcome of this project is a novel platform for investigation and understanding of lung function, enabling information previously only available for the whole lung to be calculated for local lung regions within the body. The image analysis methods developed are intended to enable respiratory researchers to investigate lung function in unprecedented detail, leading to new insights into the workings of this complicated and vital organ. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100985
Funder
Australian Research Council
Funding Amount
$427,116.00
Summary
Shining a Light on Brain Temperature with Near-Infrared Nanosensors. This project aims to develop a contactless thermometry approach based on near-infrared fluorescence to map brain or nerve temperature in real-time. This research expects to generate new knowledge in the field of neuroscience using tools from optics, nanotechnology and materials science. The technique generated as a result of this project is expected to enable the quantification of the transient local heating of the nervous syst ....Shining a Light on Brain Temperature with Near-Infrared Nanosensors. This project aims to develop a contactless thermometry approach based on near-infrared fluorescence to map brain or nerve temperature in real-time. This research expects to generate new knowledge in the field of neuroscience using tools from optics, nanotechnology and materials science. The technique generated as a result of this project is expected to enable the quantification of the transient local heating of the nervous system in different situations and the study of how this affects neural function. This is expected to provide significant benefits, enabling the development of regulatory frameworks that ensure the safe implementation of new therapies for neurological and neurodegenerative disorders.Read moreRead less