Discovery Early Career Researcher Award - Grant ID: DE210100453
Funder
Australian Research Council
Funding Amount
$442,408.00
Summary
Nervous tissue stimulation using Multi-Junction Silicon Photodiodes. Currently, in order to stimulate different areas in nervous tissue, brain-machine-interfaces (BMIs) usually rely on multi electrode arrays where each electrode is connected to a wire, that connects to other electronics, all of which has to be safely encapsulated, thus increasing the size of the devices and complicating the surgical procedure for implanted devices. This project aims to develop a silicon multi-junction photodiode ....Nervous tissue stimulation using Multi-Junction Silicon Photodiodes. Currently, in order to stimulate different areas in nervous tissue, brain-machine-interfaces (BMIs) usually rely on multi electrode arrays where each electrode is connected to a wire, that connects to other electronics, all of which has to be safely encapsulated, thus increasing the size of the devices and complicating the surgical procedure for implanted devices. This project aims to develop a silicon multi-junction photodiode that can provide a photovoltage high enough to efficiently excite nervous tissue. A BMI based on this approach could be much smaller and could be powered optically via thin fibres, thus in the long run enabling smaller and safer implants for restoring function in disabled people.Read moreRead less
A Micro-Physiological System to Mimic Human Microbiome-Organ Interactions. This project aims to mimic gut microbiome-organ interactions by developing a microbial-gut coculture chip, which can reversibly interface with other organs-on-chips. This is achieved through the systematic integration of highly customisable biofabrication and microfluidic technologies. This project fills a critical technological gap in the availability of an animal-alternative system to investigate microbiome-host interac ....A Micro-Physiological System to Mimic Human Microbiome-Organ Interactions. This project aims to mimic gut microbiome-organ interactions by developing a microbial-gut coculture chip, which can reversibly interface with other organs-on-chips. This is achieved through the systematic integration of highly customisable biofabrication and microfluidic technologies. This project fills a critical technological gap in the availability of an animal-alternative system to investigate microbiome-host interactions, which will greatly complement existing meta-omics approaches. The deliverables include a proof-of-concept system validated for gut-liver axis as well as the creation of new knowledge and framework to assimilate design thinking and advanced manufacturing to elevate tissue engineering into physiology engineering. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100029
Funder
Australian Research Council
Funding Amount
$700,000.00
Summary
High Resolution PET-CT for Small Animal Molecular and Anatomical Imaging. This project will integrate a next generation small animal PET-CT instrument into the Sydney Imaging multi-modality imaging ecosystem. PET-CT enables the investigation of molecular function and anatomical structure in complex living organisms. This platform will enable research as diverse as the development and in-vivo characterisation of new chemical probes and nanoparticles that bind to specific protein targets in the bo ....High Resolution PET-CT for Small Animal Molecular and Anatomical Imaging. This project will integrate a next generation small animal PET-CT instrument into the Sydney Imaging multi-modality imaging ecosystem. PET-CT enables the investigation of molecular function and anatomical structure in complex living organisms. This platform will enable research as diverse as the development and in-vivo characterisation of new chemical probes and nanoparticles that bind to specific protein targets in the body, investigating mechanisms of brain plasticity in predictive learning, understanding the molecular pathways involved in neurodegeneration and cancer, developing novel methods for multi-modal image analysis, and developing and validating new radiation detectors for the next generation of imaging technology.Read moreRead less