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
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
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
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
Bridging the gap between global mechanics and regional imaging in the lungs. The detailed mechanics of breathing are not well understood, due to a lack of regional lung measurement techniques. This project aims to develop a powerful analysis tool to image in vivo mechanical properties of the lungs. The expected outcome of this project is a novel platform for investigation and understanding of lung function, enabling information previously only available for the whole lung to be calculated for lo ....Bridging the gap between global mechanics and regional imaging in the lungs. The detailed mechanics of breathing are not well understood, due to a lack of regional lung measurement techniques. This project aims to develop a powerful analysis tool to image in vivo mechanical properties of the lungs. The expected outcome of this project is a novel platform for investigation and understanding of lung function, enabling information previously only available for the whole lung to be calculated for local lung regions within the body. The image analysis methods developed are intended to enable respiratory researchers to investigate lung function in unprecedented detail, leading to new insights into the workings of this complicated and vital organ. Read moreRead less