Motion-adaptive PET technology for brain imaging of freely moving mice. This project aims to develop new brain imaging technology that adapts to and corrects for the motion of a responsive, freely moving mouse. Current technology requires the subject to be unconscious, precluding the use of imaging to study signalling pathways activated by external stimuli during cognitive and behavioural tasks. By harnessing new radiation detector, motion tracking and computational technologies, the project exp ....Motion-adaptive PET technology for brain imaging of freely moving mice. This project aims to develop new brain imaging technology that adapts to and corrects for the motion of a responsive, freely moving mouse. Current technology requires the subject to be unconscious, precluding the use of imaging to study signalling pathways activated by external stimuli during cognitive and behavioural tasks. By harnessing new radiation detector, motion tracking and computational technologies, the project expects to bridge this technology gap and provide significant technical and conceptual advances in the field. This will provide important benefits, such as equipping neuroscientists with new tools to answer fundamental questions about how the mammalian brain regulates behavioural adaptation to a changing environment.Read moreRead less
In-vivo functional imaging of cone photoreceptors and ganglion cell axons. Can we project a movie on a human retina, and measure the response of photoreceptor cells and connected nerve tissue? This project aims to investigate a new method for visualization of the quickest responses in human cone photoreceptors and nerve cells after a visible stimulus. Expected outcomes of this project include a better understanding of the origins of responses to a stimulus and how cells in the retina communicate ....In-vivo functional imaging of cone photoreceptors and ganglion cell axons. Can we project a movie on a human retina, and measure the response of photoreceptor cells and connected nerve tissue? This project aims to investigate a new method for visualization of the quickest responses in human cone photoreceptors and nerve cells after a visible stimulus. Expected outcomes of this project include a better understanding of the origins of responses to a stimulus and how cells in the retina communicate. The scientific results will be helpful in a better understanding of the development of vision in the infant eye, to study peripheral vision in elite athletes and to quantify performance of virtual reality equipment for the military. The IP on the technology can be licensed or used for start-up company.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
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
A Multi-Optrode Array for Closed-Loop Bionics. We will design, implement and characterise a disruptive multi-channel optrode array (MOA) to record and stimulate excitable living tissue. The MOA will be a combination of individual optical electrodes (optrodes) that either comprise a new class of liquid crystals, used to passively sense extracellular biopotentials, or microphotovoltaic cells that will be used for electrical stimulation of excitable tissue. By employing light for communication with ....A Multi-Optrode Array for Closed-Loop Bionics. We will design, implement and characterise a disruptive multi-channel optrode array (MOA) to record and stimulate excitable living tissue. The MOA will be a combination of individual optical electrodes (optrodes) that either comprise a new class of liquid crystals, used to passively sense extracellular biopotentials, or microphotovoltaic cells that will be used for electrical stimulation of excitable tissue. By employing light for communication with optrodes, this new approach alleviates many of the wiring, packaging and encapsulation issues associated with existing devices. Computational modelling and in vitro testing in cardiac tissue and retinal neurons will demonstrate the utility of the MOA to sense and control electrical activity.Read moreRead less
Dynamic Mechano-Microscopy for use in Mechanobiology . We will develop an innovative microscope that will enable new discoveries in biology. Most microscopes form images of a sample's optical properties, instead we will image a sample's mechanical properties. The reason our novel approach is needed is that cell behaviour depends on the stiffness of it's environment, but current microscopes are unable to image this. Our microscope will provide insights in biology that can improve our understandi ....Dynamic Mechano-Microscopy for use in Mechanobiology . We will develop an innovative microscope that will enable new discoveries in biology. Most microscopes form images of a sample's optical properties, instead we will image a sample's mechanical properties. The reason our novel approach is needed is that cell behaviour depends on the stiffness of it's environment, but current microscopes are unable to image this. Our microscope will provide insights in biology that can improve our understanding of cells, the building blocks of life. We will achieve this by: 1. Developing a microscope that combines microscopic resolution with rapid imaging; 2: Developing the capability to image both within the cell and its surrounding environment; and 3. Using our microscope to make discoveries in biology.Read moreRead less
Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expe ....Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expected outcomes are a novel human-machine interface methodology, a new multi-purpose wearable data glove, and function and application-specific machine learning methods for cutting-edge applications in assistive robotic devices such as a prosthetic hand, advanced manufacturing, construction and agriculture.Read moreRead less
Harnessing sperm dynamics in microfluidic sorting technologies. Mammalian reproductive tract is a complex microenvironment that has evolved to select the best sperm for fertilisation using a range of rheological, biochemical and geometrical cues. The project aims to engineer the first multiplexed platform, informed by the natural process, for fully automated and rapid selection of sperm based on all key selection criteria: morphology, swimming behaviour, and DNA integrity. The expected outcome i ....Harnessing sperm dynamics in microfluidic sorting technologies. Mammalian reproductive tract is a complex microenvironment that has evolved to select the best sperm for fertilisation using a range of rheological, biochemical and geometrical cues. The project aims to engineer the first multiplexed platform, informed by the natural process, for fully automated and rapid selection of sperm based on all key selection criteria: morphology, swimming behaviour, and DNA integrity. The expected outcome is the next generation technology for sperm sorting and analysis. This should provide significant benefits, such as new biophysical insights into mammalian reproduction, with potential for future improvement of assisted reproduction technologies – a field in which Australia has a world leading history.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH150100028
Funder
Australian Research Council
Funding Amount
$3,708,510.00
Summary
ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecu ....ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. ARC Research Hub for Integrated Device for End-user Analysis at Low-levels. This hub aims to improve detection of biological materials by building a portable device for rapid, time-critical detection of low-abundance molecular and cellular analytes. It is expected that the resulting technologies would be used at medical points of care, ordinary workplaces and centres of activity to test for tiny levels of targeted molecules. The initial focus would be early diagnosis of disease and point-of-care drug testing for humans and animals, but the technology platform could be used to sample food and environmental toxins. The hub expects these disruptive technologies will make Australian biotechnology, diagnostics, veterinary, agribusiness and manufacturing firms globally competitive.Read moreRead less
Advancing human movement evaluation using artificial intelligence. Human movement disorders affect one-third of Australians; however, conventional approaches to assessing joint motion are costly and largely clinic- or laboratory-based. This project aims to combine biomechanical modelling and advanced machine learning to non-invasively produce accurate, low-cost, user-friendly shoulder and elbow joint angle measurements using wearable inertial sensors. The technology will enable a non-expert to o ....Advancing human movement evaluation using artificial intelligence. Human movement disorders affect one-third of Australians; however, conventional approaches to assessing joint motion are costly and largely clinic- or laboratory-based. This project aims to combine biomechanical modelling and advanced machine learning to non-invasively produce accurate, low-cost, user-friendly shoulder and elbow joint angle measurements using wearable inertial sensors. The technology will enable a non-expert to obtain reliable kinematics data in any location. Accurate, wearable motion measurement will benefit next-generation healthcare including telemedicine and remote rehabilitation for isolated communities, performance monitoring of elite athletes and military personnel, and the gaming and film/animation industries.Read moreRead less