Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging. This project aims to develop novel magnetic resonance imaging methods to investigate tissue structure and function. Current MRI technologies use standard water-based contrast mechanisms to generate images with limited tissue information. In contrast, this project expects to provide a non-invasive, ultra-high-resolution MRI technology that measures the electrical, magnetic, and chemical signals generated from the human bo ....Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging. This project aims to develop novel magnetic resonance imaging methods to investigate tissue structure and function. Current MRI technologies use standard water-based contrast mechanisms to generate images with limited tissue information. In contrast, this project expects to provide a non-invasive, ultra-high-resolution MRI technology that measures the electrical, magnetic, and chemical signals generated from the human body. Thus, the new imaging methods can probe deeper biological functionality while examining tissue structure. The potential benefits include: expanding the scope and capabilities of current MRI, facilitating a wide range of imaging-based research and applications, and accelerating knowledge expansion in life science.Read moreRead less
Mid-Career Industry Fellowships - Grant ID: IM230100002
Funder
Australian Research Council
Funding Amount
$1,056,049.00
Summary
Artificial intelligence empowered multi-modal biomedical imaging. This Industry Fellowship aims to transform biomedical imaging using artificial intelligence with world-leading industry partners. The project expects to make a major advance in multi-modal Magnetic Resonance Imaging and Positron Emission Tomography image reconstruction for robust, accurate and efficient imaging. This project timely addresses industry needs with novel solutions and will establish a technology roadmap to inform and ....Artificial intelligence empowered multi-modal biomedical imaging. This Industry Fellowship aims to transform biomedical imaging using artificial intelligence with world-leading industry partners. The project expects to make a major advance in multi-modal Magnetic Resonance Imaging and Positron Emission Tomography image reconstruction for robust, accurate and efficient imaging. This project timely addresses industry needs with novel solutions and will establish a technology roadmap to inform and de-risk future research and development in image reconstruction. The project outcomes should provide benefits to Australians with cost-effective imaging and benefits to Australia's biomedical industry with well-aligned intellectual properties and training of future scientists with industry knowledge.Read moreRead less
Ultra-sensitive 3D molecular assays using total body PET and deep learning. Recent advances in biomedical engineering have led to the development of Total Body Positron Emission Tomography (TB-PET), the most sensitive imaging device to date. Despite these impressive engineering advances, computational methods lag far behind and model-based approaches cannot deal with the complexity or volume of data these systems produce. We will develop new computational methods based on deep learning and stati ....Ultra-sensitive 3D molecular assays using total body PET and deep learning. Recent advances in biomedical engineering have led to the development of Total Body Positron Emission Tomography (TB-PET), the most sensitive imaging device to date. Despite these impressive engineering advances, computational methods lag far behind and model-based approaches cannot deal with the complexity or volume of data these systems produce. We will develop new computational methods based on deep learning and statistical methods that fully exploit the richness and complexity of the data generated by TB-PET, enabling 3D quantitative assays of molecular processes throughout the entire human body with unparalleled sensitivity. The technology we create will open up new capability for the study of complex physiological systems.Read moreRead less
Next Generation Fluorescent Tools for Measuring Autophagy Dynamics in Cells. This project aims to create new molecular tools for detecting a crucial cell survival process called autophagy. Specifically, this project will develop small molecule fluorescent probes that are specific to autophagy, for the first time, by interacting with the key autophagy marker proteins or cargos. This will allow researchers to visualise and quantify autophagy activity in living cells without disrupting the system, ....Next Generation Fluorescent Tools for Measuring Autophagy Dynamics in Cells. This project aims to create new molecular tools for detecting a crucial cell survival process called autophagy. Specifically, this project will develop small molecule fluorescent probes that are specific to autophagy, for the first time, by interacting with the key autophagy marker proteins or cargos. This will allow researchers to visualise and quantify autophagy activity in living cells without disrupting the system, which is not currently possible. This project represents a major technical and knowledge advance that will improve our understanding of autophagy in fundamental biology and ultimately contribute to the development of new intervention strategies for diseases like neurodegeneration and cancers.Read moreRead less
Novel tractography-guided MRI methods for studying healthy brain ageing. Advances in imaging, and particularly Magnetic Resonance Imaging, have opened a new era in the study of the brain enabling a myriad of neuroscience discoveries. This project aims to develop new analysis methods to study and understand the variability in the human brain during ageing, exploiting the wealth of information contained in the so-called tractogram, a mapping of the brain’s wiring. This project expects to develop i ....Novel tractography-guided MRI methods for studying healthy brain ageing. Advances in imaging, and particularly Magnetic Resonance Imaging, have opened a new era in the study of the brain enabling a myriad of neuroscience discoveries. This project aims to develop new analysis methods to study and understand the variability in the human brain during ageing, exploiting the wealth of information contained in the so-called tractogram, a mapping of the brain’s wiring. This project expects to develop innovative imaging biomarkers to characterise the brain changes in the course of healthy brain ageing. Expected outcomes include novel imaging tools for neuroscience, which should allow us to map trajectories of normative healthy brain ageing and use them to identify lifestyle factors that impact these trajectories.Read moreRead less
Creating a non-invasive window into the mind. This project aims to create better tools to study the human mind. This project expects to generate new knowledge that can be used to non-invasively image neuronal activity. Expected outcomes include the development of unique new Magnetic Resonance Imaging (MRI) instruments to study neuronal activity in both highly controlled laboratory conditions and in humans, with the spatial and temporal resolution needed to study the neuronal circuitry that drive ....Creating a non-invasive window into the mind. This project aims to create better tools to study the human mind. This project expects to generate new knowledge that can be used to non-invasively image neuronal activity. Expected outcomes include the development of unique new Magnetic Resonance Imaging (MRI) instruments to study neuronal activity in both highly controlled laboratory conditions and in humans, with the spatial and temporal resolution needed to study the neuronal circuitry that drives low and high-level brain functions, i.e., creating a window into the mind. In the future, outcomes from this study could improve our understanding of mental disorders, advance computer brain interface technology, and inspire the next paradigm shift in artificial intelligence.Read moreRead less
The Material Science of Biomimetic Soft Network Composites. Nature combines stiff and strong collagen fibres intertwined within a weak polymer matrix of proteoglycans into soft tissues with outstanding mechanical durability and biological properties. We converge a biomimetic design strategy inspired in the architecture of natural soft tissues and a novel additive manufacturing technology termed melt electrowriting (MEW) to manufacture advanced biomimetic soft network composites (BSNC). The SNCs ....The Material Science of Biomimetic Soft Network Composites. Nature combines stiff and strong collagen fibres intertwined within a weak polymer matrix of proteoglycans into soft tissues with outstanding mechanical durability and biological properties. We converge a biomimetic design strategy inspired in the architecture of natural soft tissues and a novel additive manufacturing technology termed melt electrowriting (MEW) to manufacture advanced biomimetic soft network composites (BSNC). The SNCs are composed of a weak polymer matrix and a MEW reinforcing fibrous phase printed at the nanometre scale, containing patterns mimicking the natural tissue architectures. Advanced computational tools are applied for the rational design of the SNC while reducing costs and times associated to experimental work.Read moreRead less
A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on health ....A novel precision-engineered microfluidic chip for wear particle research. This project aims to develop 1- novel protocols to generate clinically-relevant wear particles from spinal implants in-vitro and 2- a technological framework for the fabrication of a novel microfluidic 3D spinal implant-on-a-chip with tailored mechanical, material and biological properties. This will provide a cost-effective tool, currently unavailable, that allows investigation into the impact of wear particles on healthy spinal disc cells. We expect our technological framework to become an invaluable tool for biomedical engineers, biologists, and bio-engineers to work together and generate clinically relevant in-vitro data that supports optimisation for spinal implant design, fabrication, and safety. Read moreRead less
Photoacoustic cellular manipulation: building from the bottom up. In this project we propose an approach for creating complex 3D prints. Whereas current approaches are limited to defining the external geometry, this technology will permit the organization of the internal structure as well, with the potential to do so at the scale of individual cells. Achieving this has important applications in bioprinting human tissues and additive manufacturing. This is based on the manipulation of particles a ....Photoacoustic cellular manipulation: building from the bottom up. In this project we propose an approach for creating complex 3D prints. Whereas current approaches are limited to defining the external geometry, this technology will permit the organization of the internal structure as well, with the potential to do so at the scale of individual cells. Achieving this has important applications in bioprinting human tissues and additive manufacturing. This is based on the manipulation of particles and cells using holographic acoustic fields controlled by patterned light. This is compared to current acoustic patterning approaches are mostly limited to static simple geometric arrangements and lack the flexibility to produce arbitrary, rapidly changing fields that enable the fabrication of complex structures. Read moreRead less
Understanding bone structure evolution using machine learning. Bone remodeling is the ancient process of bone resorption and formation that optimises material properties and has led to evolution of terrestrial vertebrates. To date it is not understood how remodeling achieves tuning of bone material. This proposal aims to develop a machine learning based approach, linking computational modeling and imaging to address this problem. Intended outcomes are development of a multiscale model of remodel ....Understanding bone structure evolution using machine learning. Bone remodeling is the ancient process of bone resorption and formation that optimises material properties and has led to evolution of terrestrial vertebrates. To date it is not understood how remodeling achieves tuning of bone material. This proposal aims to develop a machine learning based approach, linking computational modeling and imaging to address this problem. Intended outcomes are development of a multiscale model of remodeling and machine learning algorithms for image analysis. This approach will help establish a structural-functional link between remodeling and bone material optimisation which ultimately provides significant benefits for bone tissue engineering, fracture healing and improved therapies for osteoporosis. Read moreRead less