Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100229
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
A prototype Scanning Helium Atom Microscope (SHeM) for soft materials. The scanning helium atom microscope (SHeM) has been a tantalising prospect since the birth of quantum physics. The SHeM would have unparalleled resolution and would be completely non-damaging; potentially revolutionising the imaging of soft delicate materials. This project will develop the first SHeM instrument in Australia to study soft matter.
Special Research Initiatives - Grant ID: SR0354583
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Biodevice fabrication through intelligent surface modification. Achieving the reliable control of the attachment of proteins and other macromolecules to surfaces needed for sophisticated biosensors and medical diagnostics requires expertise and infrastructure from a diverse range of disciplines from the physical, chemical and biological sciences and engineering. This network will bring together researchers from a multidisciplinary pool working on problems relevant to the creation of functional s ....Biodevice fabrication through intelligent surface modification. Achieving the reliable control of the attachment of proteins and other macromolecules to surfaces needed for sophisticated biosensors and medical diagnostics requires expertise and infrastructure from a diverse range of disciplines from the physical, chemical and biological sciences and engineering. This network will bring together researchers from a multidisciplinary pool working on problems relevant to the creation of functional surfaces for applications in biodevices. The program we envisage will break down the barriers imposed by disciplinary boundaries and technical terminology to bring together the skills and infrastructure required to make rapid advances in this field.Read moreRead less
Virtual testing of orthopaedic devices as part of the design and development process: strategies to account for patient and surgical variability. Novel computational tools will be developed through this project to help account for patient and surgical variability in the design of orthopaedic implants, such as hip and knee replacements and spinal products. These tools will reduce the design time, give greater insight in implant performance and ultimately lead to safer implants with improved longe ....Virtual testing of orthopaedic devices as part of the design and development process: strategies to account for patient and surgical variability. Novel computational tools will be developed through this project to help account for patient and surgical variability in the design of orthopaedic implants, such as hip and knee replacements and spinal products. These tools will reduce the design time, give greater insight in implant performance and ultimately lead to safer implants with improved longevity.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100175
Funder
Australian Research Council
Funding Amount
$347,070.00
Summary
Three-dimensional additive bio-fabrication facility: printing bioprinters. This project aims to develop bioprinting systems that will provide new insights into fundamental biological processes. The 3D Additive Bio-Fabrication Facility - Printing Bioprinters capability will use 3D polymer and metal additive manufacturing technologies to create the next generation of bioprinting methodologies and 3D fabrication tools. It is the aim that these customised additive manufacturing systems will be used ....Three-dimensional additive bio-fabrication facility: printing bioprinters. This project aims to develop bioprinting systems that will provide new insights into fundamental biological processes. The 3D Additive Bio-Fabrication Facility - Printing Bioprinters capability will use 3D polymer and metal additive manufacturing technologies to create the next generation of bioprinting methodologies and 3D fabrication tools. It is the aim that these customised additive manufacturing systems will be used to produce structures wherein living cells are spatially organised in combination with appropriate biomaterials and bioactive components, such as drugs or growth factors, in order to influence subsequent biological behaviour.Read moreRead less
Special Research Initiatives - Grant ID: SR0354734
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
The Australian Research Network for Medical Devices: advanced technology solutions for patients and practitioners. Medical Device technologies embrace a wide range of scientific, engineering and medical knowledge, with the goal of assisting a clinical professional (doctor or nurse) deliver a service to a patient in an efficacious, cost effective manner. Development of appropriate medical devices, whether for diagnosis, treatment or prevention of disease or disability, is critical to improving h ....The Australian Research Network for Medical Devices: advanced technology solutions for patients and practitioners. Medical Device technologies embrace a wide range of scientific, engineering and medical knowledge, with the goal of assisting a clinical professional (doctor or nurse) deliver a service to a patient in an efficacious, cost effective manner. Development of appropriate medical devices, whether for diagnosis, treatment or prevention of disease or disability, is critical to improving health care and reducing health care costs. To be successful, a device must include all relevant disciplines in the research, development and testing phases. This network will bring together these groups, promoting knowledge sharing and cross-disciplinary investigations that illuminate current device limitations and potential solutions.Read moreRead less
Properties of nanomaterials determine their disposal by liver cells. This project aims to understand how the liver handles and is affected by nanomaterials in the body. Nanomaterials are widely used in industrial, environmental, consumer and drug products, but how they affect human health is poorly understood. This project will characterise the spatiotemporal distribution of a set of nanomaterials with defined attributes in naïve and modified livers using chemistry, imaging and biological method ....Properties of nanomaterials determine their disposal by liver cells. This project aims to understand how the liver handles and is affected by nanomaterials in the body. Nanomaterials are widely used in industrial, environmental, consumer and drug products, but how they affect human health is poorly understood. This project will characterise the spatiotemporal distribution of a set of nanomaterials with defined attributes in naïve and modified livers using chemistry, imaging and biological methods. This work is expected to determine how nanomaterials’ attributes direct pathways for liver cell disposal and describe nanomaterial–liver interactions at the cellular level, information crucial in enabling safer nanomaterials for use in products such as drug formulations, sunscreens and cosmetics.Read moreRead less
Modelling applications of nanomaterials in biology and medicine. This proposal will address fundamental issues related to nanomaterials and their applications in biology and medicine. Accurate mathematical models will be formulated, leading to new practical techniques in nanobiotechnology, safe and effective methods to diagnose and cure diseases including cancer via targeted drug and gene delivery, and detection methods for biological hazards, such as those arising from biological terrorism. The ....Modelling applications of nanomaterials in biology and medicine. This proposal will address fundamental issues related to nanomaterials and their applications in biology and medicine. Accurate mathematical models will be formulated, leading to new practical techniques in nanobiotechnology, safe and effective methods to diagnose and cure diseases including cancer via targeted drug and gene delivery, and detection methods for biological hazards, such as those arising from biological terrorism. The research facility proposed involves significant training of applied mathematicians at honours, PhD and postdoctoral levels and multidisciplinary collaboration, ensuring that Australia maintains and develops an expertise in nanobiotechnology well into the future.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100177
Funder
Australian Research Council
Funding Amount
$440,000.00
Summary
National Live Cell Scanning Platform for Nanoparticle Tracking. National live cell scanning platform for nanoparticle tracking: The aim of the project is to establish a multi-disciplinary, multi-user, self-correlated scanning facility to reach a new level of temporal and spatial precision for real-time tracking and quantification of biomolecules and nanoparticles within large populations of living cells. The facility will consist of a live-cell spinning-disc confocal microscope, a correlated bio ....National Live Cell Scanning Platform for Nanoparticle Tracking. National live cell scanning platform for nanoparticle tracking: The aim of the project is to establish a multi-disciplinary, multi-user, self-correlated scanning facility to reach a new level of temporal and spatial precision for real-time tracking and quantification of biomolecules and nanoparticles within large populations of living cells. The facility will consist of a live-cell spinning-disc confocal microscope, a correlated biological atomic force microscope, and remote access facilities. It is expected that with superior optical characterisation and mechanical manipulation, the automated orthogonal scanning facility will open new avenues to reveal unprecedented information from biological and pathological processes. The collaborative facility will support world-class researchers in the multi-disciplinary areas of physical, material and life sciences, placing Australia at the forefront of nanoscale biophotonics.Read moreRead less
Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the ....Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the first approach capable of discovering previously unknown biomarkers associated with important clinical outcomes. The project will validate the approach on a real-world case study data set concerning the prediction of five-year survival of chronic disease.Read moreRead less