Advanced Signal Processing for Radiation Spectroscopy. Southern Innovation develops and markets world-leading pulse processing technologies for the rapid, accurate detection and measurement of radiation. The underlying real-time signal processing challenge relates to isolating often overlapping pulses, determining when each pulse arrived and the energy of each pulse. Recent advances in the computational power of digital signal processing boards makes it timely to develop innovative pulse process ....Advanced Signal Processing for Radiation Spectroscopy. Southern Innovation develops and markets world-leading pulse processing technologies for the rapid, accurate detection and measurement of radiation. The underlying real-time signal processing challenge relates to isolating often overlapping pulses, determining when each pulse arrived and the energy of each pulse. Recent advances in the computational power of digital signal processing boards makes it timely to develop innovative pulse processing algorithms based on optimal filtering of stochastic processes. It is expected that these algorithms will have widespread impact, both commercially for minerals exploration, materials analysis, medical imaging and security screening, and scientifically for improving the performance of synchrotrons and other equipment.Read moreRead less
Nanopore sensors for multiplexed, ultra-fast gene detection. The aim of this research is to develop the application of protein nanopores for multiplex identification of DNA samples for ultrafast gene detection. This is a type of barcoding of organism DNA that allows for rapid gene identification. This technology aims to address a significant need for rapid, on-the-spot identification of organisms. Applications include rapid identification of pathogenic bacteria in infections and identification o ....Nanopore sensors for multiplexed, ultra-fast gene detection. The aim of this research is to develop the application of protein nanopores for multiplex identification of DNA samples for ultrafast gene detection. This is a type of barcoding of organism DNA that allows for rapid gene identification. This technology aims to address a significant need for rapid, on-the-spot identification of organisms. Applications include rapid identification of pathogenic bacteria in infections and identification of organisms in environmental sampling. Current methods are relative slow, require DNA amplification and specialised laboratories.
This proposal aims to fine tune the properties of the large nanopore, polyC9, with respect to size and charge, as well as to identify and characterise novel large nanopores. Read moreRead less
New Membrane Chips For Protein Interaction Analysis. This proposal is based on a strategic partnership between Monash University and Farfield Sensors. We will create a series of new biosensors that will be used to establish a new approach to the structural analysis of membrane protein function. In particular, this technology may lead to the identification of new proteins and drug targets for therapeutic development. The long-term outcome would be the development of improved therapeutics which wo ....New Membrane Chips For Protein Interaction Analysis. This proposal is based on a strategic partnership between Monash University and Farfield Sensors. We will create a series of new biosensors that will be used to establish a new approach to the structural analysis of membrane protein function. In particular, this technology may lead to the identification of new proteins and drug targets for therapeutic development. The long-term outcome would be the development of improved therapeutics which would be coupled to potential economic returns when further commercialisation is achieved. Read moreRead less
Integration of DNA switches into wearables for smart chemical monitoring. This project addresses the scientific challenge of real-time monitoring of dynamic biological changes in the secretions found in sweat. By creating a wearable wireless device to monitor chemicals which interests Nutromics, using a novel electronic skin technology platform, the work aims to generate new knowledge of physiological changes in sweat secretions. Lying at the interface of analytical chemistry, functional materia ....Integration of DNA switches into wearables for smart chemical monitoring. This project addresses the scientific challenge of real-time monitoring of dynamic biological changes in the secretions found in sweat. By creating a wearable wireless device to monitor chemicals which interests Nutromics, using a novel electronic skin technology platform, the work aims to generate new knowledge of physiological changes in sweat secretions. Lying at the interface of analytical chemistry, functional materials and biomedical engineering, the project will contribute to the training of young researchers in these emerging technologies which interest Nutromics Pty Ltd. The project will improve Australia's standing in technology around wearable devices, improving our global competitive edge with economic and scientific impact.Read moreRead less
A Method to Characterise an Aberration-Corrected Electron Wave Field - a step towards quantitative electron microscopy. Australia has recently invested in a powerful, new electron microscope, one of the first in the world, which can image features at the atomic scale that could not be seen before. This project will forge a strategic partnership with the designer and the distributor of this microscope, to develop special new methods that will further increase the microscope's imaging power. This ....A Method to Characterise an Aberration-Corrected Electron Wave Field - a step towards quantitative electron microscopy. Australia has recently invested in a powerful, new electron microscope, one of the first in the world, which can image features at the atomic scale that could not be seen before. This project will forge a strategic partnership with the designer and the distributor of this microscope, to develop special new methods that will further increase the microscope's imaging power. This will give Australian scientists unique capabilities with which to investigate and engineer new materials for advanced technological applications and it will train young Australian scientists in these cutting-edge techniques.Read moreRead less
Smart passive sampling of heavy metals in aquatic systems. Smart passive sampling of heavy metals in aquatic systems. This project aims to construct smart devices with extracting polymeric membranes for advanced passive sampling of heavy metal ions. These devices should improve the passive sampling of pollutants such as heavy metals by overcoming the effect of the variability of water temperature, composition and velocity during sampling, which substantially reduces the reliability of analytical ....Smart passive sampling of heavy metals in aquatic systems. Smart passive sampling of heavy metals in aquatic systems. This project aims to construct smart devices with extracting polymeric membranes for advanced passive sampling of heavy metal ions. These devices should improve the passive sampling of pollutants such as heavy metals by overcoming the effect of the variability of water temperature, composition and velocity during sampling, which substantially reduces the reliability of analytical data. These devices are expected to reliably identify sources of heavy metal pollution in urban municipal wastewaters and stormwaters without the need for labour intensive monitoring operations, thus saving considerable time and expense to the Australian water industry.Read moreRead less
Unlocking the potential of quantitative x-ray micro-tomography. This project aims to build on two new ideas in data acquisition and 3D image reconstruction to bring 3D X-ray microscopy or computed tomography (CT) into advanced research use as well as common industrial applications. In the past 10 years, CT has improved our understanding in areas ranging from the evolution of life and osteoporosis to composite material failure and oil recovery. However, the full potential of CT remains unrealised ....Unlocking the potential of quantitative x-ray micro-tomography. This project aims to build on two new ideas in data acquisition and 3D image reconstruction to bring 3D X-ray microscopy or computed tomography (CT) into advanced research use as well as common industrial applications. In the past 10 years, CT has improved our understanding in areas ranging from the evolution of life and osteoporosis to composite material failure and oil recovery. However, the full potential of CT remains unrealised because crucial features in structure and composition are overlooked by simplistic algorithms. Users cannot directly capture quantities of interest such as key compositional variation or defects, and workflows are poorly adapted for large-scale use in industrial fabrication or phenomics. This project aims to address these shortcomings using advanced mathematics and algorithms.Read moreRead less
High yield adaptive laser nanomanufacturing system for photonic devices. This project aims at developing an entirely new nanofabrication platform combining adaptive beamshaping with highly accurate large area nanopositioner to simultaneously address the throughput and accuracy challenges in nanomanufacturing. The proposed prototype system and fabricated photonic chips have performance far surpassing the state-of-the-art. Through trial in the industrial best laser nanofabrication system, commerci ....High yield adaptive laser nanomanufacturing system for photonic devices. This project aims at developing an entirely new nanofabrication platform combining adaptive beamshaping with highly accurate large area nanopositioner to simultaneously address the throughput and accuracy challenges in nanomanufacturing. The proposed prototype system and fabricated photonic chips have performance far surpassing the state-of-the-art. Through trial in the industrial best laser nanofabrication system, commercial benefits can be fast tracked for Australian industry in the rapidly expanding nanomanufacturing field. The outcomes lead to a platform technology enabling broad impact and benefits to other high-tech applications requiring high precision and throughput, enhancing Australia’s leading position in advanced manufacturing.Read moreRead less
Enhanced sensitivity of electrospray ionization mass spectrometry. Enhanced sensitivity of electrospray ionization mass spectrometry. This project aims to enhance the sensitivity of nano-electrospray ionization mass spectrometry (nanoESI-MS) by an order of magnitude by simultaneously overcoming the two interdependent limitations in ion generation and transmission efficiency. This project will design glass capillaries and tubes with complex structures to enable both multiplexing ion generation fr ....Enhanced sensitivity of electrospray ionization mass spectrometry. Enhanced sensitivity of electrospray ionization mass spectrometry. This project aims to enhance the sensitivity of nano-electrospray ionization mass spectrometry (nanoESI-MS) by an order of magnitude by simultaneously overcoming the two interdependent limitations in ion generation and transmission efficiency. This project will design glass capillaries and tubes with complex structures to enable both multiplexing ion generation from a single capillary and geometrically matching the bore of the tube collecting the emitted ion plume. NanoESI-MS has become an indispensable analytical tool for proteomics and synthetic chemistry. The significant enhancement of nanoESI-MS sensitivity in this project is expected to accelerate progress in disease research, biomarker discovery and drug development.Read moreRead less
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less