Discovery Early Career Researcher Award - Grant ID: DE160100843
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Regulating gene delivery with light. This project seeks to deliver the capacity to remotely deliver molecules into specific cells without the need for invasive or viral procedures. Individual genetic predisposition to disease forms a key part of personalised medicine that requires the accurate delivery of drugs or genes. This project aims to develop a new multimodality microscopy that can investigate and optimise light delivery of macromolecules into living cells at high specificity and across a ....Regulating gene delivery with light. This project seeks to deliver the capacity to remotely deliver molecules into specific cells without the need for invasive or viral procedures. Individual genetic predisposition to disease forms a key part of personalised medicine that requires the accurate delivery of drugs or genes. This project aims to develop a new multimodality microscopy that can investigate and optimise light delivery of macromolecules into living cells at high specificity and across a multitude of cells. The expected outcome of this project is a new form of in vivo molecular delivery system using light.Read moreRead less
Integrin Activation by Fluid Flow Disturbance: Mechanobiology Approaches. Understanding how cells can sense and respond to mechanical environment such as dynamic blood flow represents a fundamental question in the emerging field of mechanobiology. This project develops new biomechanical engineering approaches to determine the critical interrelationships among fluid flow disturbance, platelet clotting and the mechano-sensitive signal transduction mechanisms of integrin receptor – the most importa ....Integrin Activation by Fluid Flow Disturbance: Mechanobiology Approaches. Understanding how cells can sense and respond to mechanical environment such as dynamic blood flow represents a fundamental question in the emerging field of mechanobiology. This project develops new biomechanical engineering approaches to determine the critical interrelationships among fluid flow disturbance, platelet clotting and the mechano-sensitive signal transduction mechanisms of integrin receptor – the most important mechano-sensor implicated in cell adhesion, migration, growth and survival. Specifically, it integrates nationally unique cutting-edge techniques including single-molecule force probe, microparticle image velocimetry, microfluidics and molecular dynamics simulation, super resolution and 3D volumetric imaging modalities.Read moreRead less
X-ray Ghost Imaging and Tomography. This project aims to achieve safer, faster, and cheaper 3D X-ray imaging through a technique known as ghost imaging. X-ray imaging provides valuable information about internal structures, however, X-rays are carcinogenic and exposure (or dose) should be limited. Ghost imaging is an unconventional technique developed with visible light that has many potential benefits over conventional imaging. This research group are world leaders in ghost imaging and expect t ....X-ray Ghost Imaging and Tomography. This project aims to achieve safer, faster, and cheaper 3D X-ray imaging through a technique known as ghost imaging. X-ray imaging provides valuable information about internal structures, however, X-rays are carcinogenic and exposure (or dose) should be limited. Ghost imaging is an unconventional technique developed with visible light that has many potential benefits over conventional imaging. This research group are world leaders in ghost imaging and expect to develop software and hardware techniques to realise its potential and extend it to ghost tomography. The focus of this project is on reducing cancer risk in medical imaging, and allowing real-time quality control for 3D printing in safety-critical industries such as aerospace.Read moreRead less
Creating new methods to study structure vision. The majority of the structure within natural images is due to third to fifth order correlations between image points. Research has shown that sensitivity to this higher order structure, provides so called Structure Vision. Research has also shown that as few as three to four brain mechanisms are involved, and these may be related to the Minkowski functionals, which in turn are related to the structural and surface properties of real materials. This ....Creating new methods to study structure vision. The majority of the structure within natural images is due to third to fifth order correlations between image points. Research has shown that sensitivity to this higher order structure, provides so called Structure Vision. Research has also shown that as few as three to four brain mechanisms are involved, and these may be related to the Minkowski functionals, which in turn are related to the structural and surface properties of real materials. This project aims to build on recent discoveries of new stimuli to implement objective tests with which to study structure vision with the Partner Organisation. The project aims to also expand on realistic models of how Structure Vision may be computed by just a few coupled cortical pyramidal cells.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