Optomechanical metrology: pushing optical sensing to its limit. This project aims to pioneer technologies to observe and control the microscopic world with unprecedented precision, and apply them to realise practical sensors with unrivalled performance. Nano- and micro-scale sensors will be developed that resolve motion smaller than an atomic nucleus, in a classical spin-off from international efforts to study quantum physics at the nanoscale. Record precision will be achieved in thermometry and ....Optomechanical metrology: pushing optical sensing to its limit. This project aims to pioneer technologies to observe and control the microscopic world with unprecedented precision, and apply them to realise practical sensors with unrivalled performance. Nano- and micro-scale sensors will be developed that resolve motion smaller than an atomic nucleus, in a classical spin-off from international efforts to study quantum physics at the nanoscale. Record precision will be achieved in thermometry and magnetometry. New tools will be developed for lab-on-a-chip medical diagnosis and thermal imaging, that in future could allow femtolitre diagnosis of blood diseases such as malaria, on-chip genomic analysis, more efficient airport screening, and more precise satellite maps of global and atmospheric temperature.Read moreRead less
Early-Stage Medical Diagnostics by Plasmon-Mediated Gas Sensing. This project will investigate the use plasmonic absorption of light in metal nanostructures to activate the selective oxidation/reduction of a gas molecule on a semiconductor nanoparticle. This concept will be used with the aim of developing a sensing technique capable of measuring ultra-low concentrations (ppb) of breath markers for lung cancer detection. It is expected that porous sensing films of semiconductor and metal nanopart ....Early-Stage Medical Diagnostics by Plasmon-Mediated Gas Sensing. This project will investigate the use plasmonic absorption of light in metal nanostructures to activate the selective oxidation/reduction of a gas molecule on a semiconductor nanoparticle. This concept will be used with the aim of developing a sensing technique capable of measuring ultra-low concentrations (ppb) of breath markers for lung cancer detection. It is expected that porous sensing films of semiconductor and metal nanoparticles with well-defined light absorption properties will be fabricated. Superior selectivity will be achieved by matching the wavelength of the absorbed light with the required activation energy for oxidation/reduction. Successful outcomes will enable multi-analyte fingerprint identification by on-chip devices with applications ranging from portable medical diagnostics to national security.Read moreRead less
Engineering the Next Generation of Terahertz Laser Imaging Systems. This project aims to develop terahertz imaging systems based on quantum cascade lasers suitable for characterisation of skin, with major implications for early skin cancer detection. Despite advances in treatment regimes, the most significant predictor of skin cancer survivability remains early detection. The project’s approach uses the semiconductor laser in the optical-feedback interferometer configuration, and is designed to ....Engineering the Next Generation of Terahertz Laser Imaging Systems. This project aims to develop terahertz imaging systems based on quantum cascade lasers suitable for characterisation of skin, with major implications for early skin cancer detection. Despite advances in treatment regimes, the most significant predictor of skin cancer survivability remains early detection. The project’s approach uses the semiconductor laser in the optical-feedback interferometer configuration, and is designed to afford significant advantages over conventional terahertz imaging platforms. The project plans to explore new semiconductor physics of a quantum cascade laser under optical feedback, engineer the semiconductor laser-based platform for medical diagnostic applications, and develop supporting numerical techniques.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102503
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Circulating tumor cell isolation and detection: an integrated microfluidic capture device based on alternating current (AC) electrohydrodynamics. The detection of circulating tumor cells in clinical samples plays a critical role in cancer diagnosis and management. This project aims to develop microfluidic technology by incorporating AC electric field-induced vortices with three-dimensional microstructured electrodes that will advance our ability to analyse rare cells and proteins in clinical sam ....Circulating tumor cell isolation and detection: an integrated microfluidic capture device based on alternating current (AC) electrohydrodynamics. The detection of circulating tumor cells in clinical samples plays a critical role in cancer diagnosis and management. This project aims to develop microfluidic technology by incorporating AC electric field-induced vortices with three-dimensional microstructured electrodes that will advance our ability to analyse rare cells and proteins in clinical samples.Read moreRead less
Tuneable “Nano-Shearing”: An Innovative Mechanism for the Accurate and Specific Capture of Cells and Molecules. Recent investigations have discovered a tuneable electro-hydrodynamic force which drives lateral fluid motion within a few nanometers of an electrode surface. Because the magnitude of this fluid shear force can be tuned externally (for example, via the application of an AC electric field), it provides a new capability to physically displace weakly (non-specifically) bound cellular and ....Tuneable “Nano-Shearing”: An Innovative Mechanism for the Accurate and Specific Capture of Cells and Molecules. Recent investigations have discovered a tuneable electro-hydrodynamic force which drives lateral fluid motion within a few nanometers of an electrode surface. Because the magnitude of this fluid shear force can be tuned externally (for example, via the application of an AC electric field), it provides a new capability to physically displace weakly (non-specifically) bound cellular and molecular analytes. By performing research to further understand and develop this tuneable effect, this project aims to build and test a new platform technology to enable highly efficient capture and specific detection of low concentration pathogenic molecules and circulating tumour cells (CTCs).Read moreRead less
Self-mixing sensors based on terahertz quantum cascade lasers: a new technology for tissue characterisation. Novel laser sensors will be developed for detection and imaging of substances in a wide range of applications. Security and detection of cancer are two key areas to be explored in this project.
Automatic cartilage segmentation in magnetic resonance imaging. Osteoarthritis (OA) is the most common form of arthritis, affecting nearly 1.4 million Australians. This research aims at engineering new tools for use in Magnetic Resonance Imaging systems to enable automated analyses of the cartilage and bones in joint images. The goals of the work are to assist with improved diagnosis and treatment planning for both chronic disease, such as OA, and acute injuries, such as cartilage and ligament ....Automatic cartilage segmentation in magnetic resonance imaging. Osteoarthritis (OA) is the most common form of arthritis, affecting nearly 1.4 million Australians. This research aims at engineering new tools for use in Magnetic Resonance Imaging systems to enable automated analyses of the cartilage and bones in joint images. The goals of the work are to assist with improved diagnosis and treatment planning for both chronic disease, such as OA, and acute injuries, such as cartilage and ligament tears in sporting injuries and other traumas.
The software developed will be provided on the project’s partner (Siemens) platform and will therefore be available worldwide and have a consequently large impact on the field.
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Dynamic magnetic resonance imaging in orthopaedics. The research in this proposal aims at developing new imaging systems that enable joints to be imaged while they are moving. This is an Australian first technology and will change the way in which diagnosis of joint diseases is done. The applications of this new technique include the diagnosis and monitoring of treatment in Osteoarthritis and related chronic joint diseases. Also, acute injuries to knees, hips, shoulders and other joints will be ....Dynamic magnetic resonance imaging in orthopaedics. The research in this proposal aims at developing new imaging systems that enable joints to be imaged while they are moving. This is an Australian first technology and will change the way in which diagnosis of joint diseases is done. The applications of this new technique include the diagnosis and monitoring of treatment in Osteoarthritis and related chronic joint diseases. Also, acute injuries to knees, hips, shoulders and other joints will be able to be better diagnosed and hence improve treatment planning as a result.Read moreRead less
Sino-Australian neurogenetics initiative. This project will undertake large population studies to identify genes that are associated with motor neuron disease, schizophrenia and intracranial haemorrhage. The project will determine genetic markers, aid development of diagnostic tools and identify new therapeutic targets for these common heritable neurological diseases.
Discovery Early Career Researcher Award - Grant ID: DE160101565
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Flexible data modelling via skew mixture models:challenges and applications. This project seeks to explore new models for handling data with non-normal features. Parametric distributions are fundamental to statistical modelling and inference. For centuries, the ‘normal’ distribution has been the dominant model for continuous data. However, real data rarely satisfy the assumption of normality. There is thus a strong demand for more flexible distributions. This project aims to develop new methodol ....Flexible data modelling via skew mixture models:challenges and applications. This project seeks to explore new models for handling data with non-normal features. Parametric distributions are fundamental to statistical modelling and inference. For centuries, the ‘normal’ distribution has been the dominant model for continuous data. However, real data rarely satisfy the assumption of normality. There is thus a strong demand for more flexible distributions. This project aims to develop new methodologies in finite mixture modelling using skew component distributions to provide better models for handling data with non-normal features (such as skewness, heavy/light tails, and multimodality). Applications may include security intrusion detection, clinical diagnosis and prognosis, and flow and mass cytometry.Read moreRead less