Special Research Initiatives - Grant ID: SR0354630
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Fluorescence Applications in Biotechnology and Life Sciences. The Network in Fluorescence applications in biotechnology and life sciences will coordinate a research program relating to applications of fluorescence whose proper resolution requires a high degree of interaction between biology, physics, chemistry, bioengineering and medicine. These would be applied to industrially relevant problems in areas such as public health, biotechnology, safety of foods, chemical biology and environmental mo ....Fluorescence Applications in Biotechnology and Life Sciences. The Network in Fluorescence applications in biotechnology and life sciences will coordinate a research program relating to applications of fluorescence whose proper resolution requires a high degree of interaction between biology, physics, chemistry, bioengineering and medicine. These would be applied to industrially relevant problems in areas such as public health, biotechnology, safety of foods, chemical biology and environmental monitoring. Approaches such as highly selective fluorescent labelling of targets using appropriate immunological and molecular techniques and purpose-engineered fluorochromes accompanied by the development of specialised instrumentation will capitalise on the multi-disciplinary research strengths in Australia and lead towards tangible industrial outcomes.
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Characterisation and improvement of radiation beams used for radiotherapy of small lesions. This project aims to characterise the radiation dose from a medical linear accelerator after the beam has been shaped by a mini-multileaf collimator. The characterisation will be achieved through a combination of computer simulations and experimental investigation of the beam using the technique of three-dimensional gel dosimetry. When the dosage characteristics are known, techniques will be developed to ....Characterisation and improvement of radiation beams used for radiotherapy of small lesions. This project aims to characterise the radiation dose from a medical linear accelerator after the beam has been shaped by a mini-multileaf collimator. The characterisation will be achieved through a combination of computer simulations and experimental investigation of the beam using the technique of three-dimensional gel dosimetry. When the dosage characteristics are known, techniques will be developed to improve radiotherapy treatments in patients with small lesions with sizes of up to a few centimetres. This will lead to an improved outcome for some cancer patients.Read moreRead less
Modelling and characterisation of radiation beams used in radiotherapy. The purpose of this project is to use computer modelling of radiation fields in radiotherapy to investigate and improve their precision. It is expected that this will result in improved outcomes and fewer side-effects for radiotherapy patients.
The Effect of Fuel Type on Health and Environmental Risks Caused by Motor Vehicle Emissions. Motor vehicles constitute one of the most significant sources of air pollutants but the state of knowledge on the quantity of some of these does not permit for projection of the risk they create. This project aims at quantification of emissions of pollutants contributing to deterioration of health, ozone formation, global warming and acid rain as a function of fuel type, using a novel on-road sampling m ....The Effect of Fuel Type on Health and Environmental Risks Caused by Motor Vehicle Emissions. Motor vehicles constitute one of the most significant sources of air pollutants but the state of knowledge on the quantity of some of these does not permit for projection of the risk they create. This project aims at quantification of emissions of pollutants contributing to deterioration of health, ozone formation, global warming and acid rain as a function of fuel type, using a novel on-road sampling method. Resultantly, a holistic picture of integrated health and environmental risk will be developed that will build a scientific foundation for future fuel,transport and land use to protect the community and the environment.Read moreRead less
A novel magnetic resonance imaging (MRI) technique to characterise white matter microstructure in the brain. Integrity of the cellular architecture of brain white matter (WM) is vital to normal signal conduction and is disrupted in diseases such as multiple sclerosis. Due to their characteristic molecular arrangements, WM microstructures have distinct magnetic susceptibility characteristics that can be detected with high-field and ultra high-field magnetic resonance imaging (MRI). The objective ....A novel magnetic resonance imaging (MRI) technique to characterise white matter microstructure in the brain. Integrity of the cellular architecture of brain white matter (WM) is vital to normal signal conduction and is disrupted in diseases such as multiple sclerosis. Due to their characteristic molecular arrangements, WM microstructures have distinct magnetic susceptibility characteristics that can be detected with high-field and ultra high-field magnetic resonance imaging (MRI). The objective of this project is to develop and validate a novel method of mapping susceptibility effects at high (sub-voxel) resolution with MRI. The outcomes will be a more comprehensive understanding of the relationship between changes in MRI signal and WM microarchitecture and improved susceptibility mapping that may lead to earlier diagnosis and more effective therapeutic monitoring.Read moreRead less
Physical factors affecting deposition of combustion submicrometer particles in the human lung. Particles generated from combustion sources have a profound effect on human health, yet there is lack of scientific understanding of the role of different physical mechanisms on particle deposition in the lung. This program will advance scientific knowledge in this field through multidisciplinary efforts of a team from QUT and the University of Salzburg, Austria. It aims at quantification of particle d ....Physical factors affecting deposition of combustion submicrometer particles in the human lung. Particles generated from combustion sources have a profound effect on human health, yet there is lack of scientific understanding of the role of different physical mechanisms on particle deposition in the lung. This program will advance scientific knowledge in this field through multidisciplinary efforts of a team from QUT and the University of Salzburg, Austria. It aims at quantification of particle deposition in human lung through experimental studies and advanced modelling. The program will enhance and strengthen the existing collaboration between the universities and its outcome will be of significance in the vital area of human health and risk assessment.Read moreRead less
From structures to systems: A hierachical approach to understanding sub-cellular components. This program will dramatically extend the range of biomolecular systems that can be modelled with near atomistic precision. It will provide a better understanding of the structure and function of proteins involved in the regulation of membrane fusion and fission as well as shedding light on the assembly of large-scale protein-protein and protein-membrane complexes in general. The work will help place Au ....From structures to systems: A hierachical approach to understanding sub-cellular components. This program will dramatically extend the range of biomolecular systems that can be modelled with near atomistic precision. It will provide a better understanding of the structure and function of proteins involved in the regulation of membrane fusion and fission as well as shedding light on the assembly of large-scale protein-protein and protein-membrane complexes in general. The work will help place Australia at the forefront of developing simulation techniques in biomolecular systems, which are widely used within the chemical and pharmaceutical industries for modelling processes ranging from protein-drug interactions to the phase behaviour of lipids and surfactants. Read moreRead less
Functional magnetic resonance imaging: Decoding the palimpsest. This project aims to model the dynamics of functional magnetic resonance imaging (fMRI) to image new physiology and attain higher resolution. This will enable new aspects of brain dynamics to be imaged, achieving higher resolution and improving interpretation. This project is expected to improve the use and power of fMRI, unlock new avenues for probing brain function and save experimental costs. This will have many uses in neuroscie ....Functional magnetic resonance imaging: Decoding the palimpsest. This project aims to model the dynamics of functional magnetic resonance imaging (fMRI) to image new physiology and attain higher resolution. This will enable new aspects of brain dynamics to be imaged, achieving higher resolution and improving interpretation. This project is expected to improve the use and power of fMRI, unlock new avenues for probing brain function and save experimental costs. This will have many uses in neuroscience, brain imaging technology and fMRI analysis software.Read moreRead less
Self organization in (bio)molecular systems: Simulating the folding and aggregation of peptides, proteins and lipids. Molecular self-assembly is a basic property of living systems. Most proteins fold spontaneously and then further self-organize into functional complexes, effectively biological machines. Understanding how this occurs is a fundamental theoretical challenge with widespread application. Work will focus on developing methodology to simulate, computationally, the folding and aggrega ....Self organization in (bio)molecular systems: Simulating the folding and aggregation of peptides, proteins and lipids. Molecular self-assembly is a basic property of living systems. Most proteins fold spontaneously and then further self-organize into functional complexes, effectively biological machines. Understanding how this occurs is a fundamental theoretical challenge with widespread application. Work will focus on developing methodology to simulate, computationally, the folding and aggregation of peptides, proteins, and lipids. The aim is to accurately predict the structures of small peptides in solution and to refine crude models of larger molecules (complexes). This will facilitate the development of peptide based therapeutics and is essential in exploiting the growing volume of genetic information in biology and medicine.Read moreRead less