Nanodiamond in glass: a new approach to nanosensing. This work will develop optical materials enriched with diamond nanoparticles. This will enable the magnetic field sensitivity of diamond nanoparticles to be combined with the capacity of micro/nanostructured optical fibres to enhance the interaction of light with matter. The outcome will be tools for probing biological processes on the nanoscale.
Disruptive approaches to biological sensing. Optical fibre-based biosensors have the potential to transform our ability to monitor our environment, protect our nation's assets and safeguard our citizens, and to offer improved clinical diagnostics and food quality control by creating tools that can detect biomolecules in real-time within complex samples. To fulfil this mission, we propose to develop new fibre-based sensing architectures for sensing biomolecules that have the potential to be sensi ....Disruptive approaches to biological sensing. Optical fibre-based biosensors have the potential to transform our ability to monitor our environment, protect our nation's assets and safeguard our citizens, and to offer improved clinical diagnostics and food quality control by creating tools that can detect biomolecules in real-time within complex samples. To fulfil this mission, we propose to develop new fibre-based sensing architectures for sensing biomolecules that have the potential to be sensitive, selective, fast and compact.Read moreRead less
Ultrafast, near infrared laser sources using fibre-based optical parametric oscillators. This project will use microstructured optical fibres and nonlinear optics to create compact and cheap laser sources in the near infrared spectrum to replace the bulky and expensive devices in many spectroscopic and biophotonic applications today. The work will further enhance Australia's standing in the field of nonlinear optics and optical fibres.
Beyond the diffraction limit: sub-diffraction T-ray biochip sensing using planar metamaterials. T-rays are able to detect small changes in molecular structure and different isomeric and intermolecular configurations. With a comparatively long wavelength (0.3 mm at 1 THz), diffraction limits its use for imaging small biosamples. A method for achieving sub-diffraction sensing, required for biochips, is to adopt near-field techniques. However, due to the small biosample masses, there is a critical ....Beyond the diffraction limit: sub-diffraction T-ray biochip sensing using planar metamaterials. T-rays are able to detect small changes in molecular structure and different isomeric and intermolecular configurations. With a comparatively long wavelength (0.3 mm at 1 THz), diffraction limits its use for imaging small biosamples. A method for achieving sub-diffraction sensing, required for biochips, is to adopt near-field techniques. However, due to the small biosample masses, there is a critical need to enhance the response. This project will investigate a planar metamaterial thin-film T-ray sensor, for a new leap in non-invasive biochip sensing. This outcome will build downstream IP for rapid screening of DNA and proteins for healthcare. The project will also elucidate the science of T-ray interaction with biomaterials at small scales.Read moreRead less
Quantitative multi-modal optical imaging of deep tissue. This project aims to create new tools to quantify the structural and functional properties of tissue. Combining multiple optical imaging technologies (multi-modal) into a single, miniaturised probe, these tools could enable physiologists and biomedical researchers to obtain new insight into disease. Encasing the highly miniaturised probe within a medical needle is aimed to allow insertion of the 'needle probe' deep into tissue, extending o ....Quantitative multi-modal optical imaging of deep tissue. This project aims to create new tools to quantify the structural and functional properties of tissue. Combining multiple optical imaging technologies (multi-modal) into a single, miniaturised probe, these tools could enable physiologists and biomedical researchers to obtain new insight into disease. Encasing the highly miniaturised probe within a medical needle is aimed to allow insertion of the 'needle probe' deep into tissue, extending optical imaging to areas not previously accessible. The project could develop novel quantification models to allow longitudinal assessment and comparison between subjects. Validating the tools with specific biomarkers, it could provide outcomes in breast and liver cancer, and a framework to explore other diseases.Read moreRead less
Advanced biosensing in the terahertz (THz) sub-wavelength regime. This project will build on Australian excellence in photonics, exploiting the advanced use of T-rays for sensing of biological substances such as proteins and DNA. For the first time, this will enable contactless automated sensing for high-speed medical screening of diseases, a critical step toward the ultimate vision of customised medicine.
Discovery Early Career Researcher Award - Grant ID: DE120101494
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Terahertz sensing of proteins associated with Alzheimer's disease. This project aims to use terahertz radiation to study the proteins associated with Alzheimer's Disease (AD) in order to contribute towards the development of an accurate, non-invasive diagnostic tool. The project will increase our knowledge of the causes of AD, improve its diagnosis, and allow for better treatment to target the symptoms of AD.
A gold-coated magnetic nanoparticle biosensor for detecting microRNA. The project aims to develop a biosensor for detecting short sequences of RNA, called microRNA (miRNA) in blood. There are about 100 miRNA sequences that are involved in most biological processes. Changes in the levels of some miRNA sequences can serve as a biomarker for many diseases including cancers. The miRNA will be detected using gold-coated magnetic nanoparticles modified with DNA sequences complementary to the miRNA of ....A gold-coated magnetic nanoparticle biosensor for detecting microRNA. The project aims to develop a biosensor for detecting short sequences of RNA, called microRNA (miRNA) in blood. There are about 100 miRNA sequences that are involved in most biological processes. Changes in the levels of some miRNA sequences can serve as a biomarker for many diseases including cancers. The miRNA will be detected using gold-coated magnetic nanoparticles modified with DNA sequences complementary to the miRNA of interest to capture the miRNA. Application of a magnetic field allows the levels of miRNA to be detected electrochemically. The expected outcome is a commercialisable biosensor for miRNA both as a diagnostic early detection device and a prognostic device for a range of miRNA biomarkers.Read moreRead less
Electrochemical biosensors for detection of cardiac disease markers in blood. Cardiovascular diseases leading to heart failure have a prevalence of over 16 per cent in Australia. The social, economic and health burden is higher than for any other disease group. Hence, it is critically important to develop fit-for-purpose sensors of known cardiac biomarkers, which alert patients and clinicians of the risk of imminent heart failure.
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