Diamond Voltage Microscopy: A new tool for neuroscience. This project aims to develop an optoelectronic voltage imaging microscope that can capture the sub-cellular electrical dynamics of neuronal networks. This will be achieved by leveraging the team’s technological breakthrough in the production of near-surface fluorescent defects in semiconducting diamond, which can optically detect local changes in electric potential. The expected outcomes of the project are a new microscopy modality and exp ....Diamond Voltage Microscopy: A new tool for neuroscience. This project aims to develop an optoelectronic voltage imaging microscope that can capture the sub-cellular electrical dynamics of neuronal networks. This will be achieved by leveraging the team’s technological breakthrough in the production of near-surface fluorescent defects in semiconducting diamond, which can optically detect local changes in electric potential. The expected outcomes of the project are a new microscopy modality and experimental framework which enables in vitro electrophysiological stimulation and recording at network scale and with single-synapse resolution. This will provide a much-needed tool to understand mechanisms underlying learning, memory formation and recall, and cognitive decline.Read moreRead less
Nanoelectromechanical Mass Spectrometry with Molecular Imaging. This project aims to develop new technology to enable simultaneous measurement of the mass and conformation of single molecules. Mass spectrometry and high-resolution microscopy are independent analytical tools used widely to characterise the chemical and physical properties of molecules. This project aims to develop new technology based on advanced nanoelectromechanical systems that combines the capabilities of these complementary ....Nanoelectromechanical Mass Spectrometry with Molecular Imaging. This project aims to develop new technology to enable simultaneous measurement of the mass and conformation of single molecules. Mass spectrometry and high-resolution microscopy are independent analytical tools used widely to characterise the chemical and physical properties of molecules. This project aims to develop new technology based on advanced nanoelectromechanical systems that combines the capabilities of these complementary instruments. This would enable synchronous measurement of molecular mass and conformation with nanometre resolution. In contrast to current mass spectrometry, this technology could be operated in fluid and detect neutral species. This significant change in capability could be applied to advance biological and medical research.Read moreRead less
Photodissociation mass spectrometry for lipidome analysis. This project aims to develop and apply novel bioanalytical mass spectrometry-based methods and workflows to illuminate the otherwise hidden structural diversity and molecular complexity of the lipidome. The structure of individual lipids define their specific biological functions. A major requirement of analytical methods employed for lipid analysis on a lipidome-wide scale, therefore, is to enable the detailed structural characterisatio ....Photodissociation mass spectrometry for lipidome analysis. This project aims to develop and apply novel bioanalytical mass spectrometry-based methods and workflows to illuminate the otherwise hidden structural diversity and molecular complexity of the lipidome. The structure of individual lipids define their specific biological functions. A major requirement of analytical methods employed for lipid analysis on a lipidome-wide scale, therefore, is to enable the detailed structural characterisation of the, potentially, tens of thousands of individual molecular lipid species that may be present within a sample of interest. This project will develop and optimise novel, ultraviolet photodissociation-tandem mass spectrometry methods which will be integrated within an automated lipidome analysis workflow, to enable comprehensive global lipidome profiling and to reveal the structural diversity of lipids involved in fundamental cellular signalling processes.Read moreRead less
Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect t ....Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect the results. The expected outcomes will enable researchers to undertake a routine assessment of the sensitivity of the results to prior inputs.Read moreRead less
Low-energy electro-photonics: novel materials, devices and systems. This project aims to develop low-power technologies for programming and tuning photonic integrated circuits (PICs). By replacing thermal tuning, the project will reduce power consumption from watts to milliwatts, which also eliminates the thermal crosstalk that limits the complexity of today's PICs. The expected outcome will be the basis for a generic field-programmable photonic chip, which can be used to rapidly prototype desig ....Low-energy electro-photonics: novel materials, devices and systems. This project aims to develop low-power technologies for programming and tuning photonic integrated circuits (PICs). By replacing thermal tuning, the project will reduce power consumption from watts to milliwatts, which also eliminates the thermal crosstalk that limits the complexity of today's PICs. The expected outcome will be the basis for a generic field-programmable photonic chip, which can be used to rapidly prototype designs for production as full custom chips as part of a new Australian industry capability. The expected benefits will be a faster innovation cycle, greater adoption of photonic technologies, and support of research into, for example, neuromorphic optical processing, and advanced communications and sensing systems.Read moreRead less
Pumping up the volume on sound-light interactions. This project aims to create a new class of integrated microwave information processors on a single optical chip. Using electro-acoustic coupling in semiconductors, we expect to reduce optical power requirements hundredfold, enabling the emergence of practically deployable processors using ordinary telecom lasers. The expected project outcomes are inexpensive, compact, stable and energy efficient microwave photonic processors, a key requirement f ....Pumping up the volume on sound-light interactions. This project aims to create a new class of integrated microwave information processors on a single optical chip. Using electro-acoustic coupling in semiconductors, we expect to reduce optical power requirements hundredfold, enabling the emergence of practically deployable processors using ordinary telecom lasers. The expected project outcomes are inexpensive, compact, stable and energy efficient microwave photonic processors, a key requirement for reference standards and precision measurements of time and frequency. This technology has the potential to create a multitude of opportunities for commercial development in the fields of defence, information security, autonomous vehicles, sensing, and ultra-high bandwidth mobile communications.Read moreRead less
The RGG/RG motif as an RNA chaperone: advancing CRISPR-Cas RNA technology. This project investigates the way in which protein molecules interact effectively with RNA molecules and also aims to enhance the CRISPR-Cas13a system for RNA detection. Innovative approaches will be used to test the role of a particular protein motif, called the RGG/RG motif, in remodelling RNA structure and enhancing the Cas13a protein. This knowledge is expected to shift our understanding of protein-RNA interactions th ....The RGG/RG motif as an RNA chaperone: advancing CRISPR-Cas RNA technology. This project investigates the way in which protein molecules interact effectively with RNA molecules and also aims to enhance the CRISPR-Cas13a system for RNA detection. Innovative approaches will be used to test the role of a particular protein motif, called the RGG/RG motif, in remodelling RNA structure and enhancing the Cas13a protein. This knowledge is expected to shift our understanding of protein-RNA interactions that are fundamental to almost every aspect of cell biology. The project is intended to benefit Australia through contributing to fundamental knowledge in the field, facilitating the development of new CRISPR-Cas biotechnologies for RNA detection and through the training of young researchers in frontier technologies. Read moreRead less
Photonics Platform to Transform Mobile Fronthaul Infrastructure. Future wireless systems of mobile networks and defence platforms will need to offer high-speed, low-delay, reliable connectivity and high bandwidth. With the explosive growth of wireless systems, this creates significant challenges in fronthaul - the link connecting antennas with the signal processors and core network. This project aims to design and develop an innovative fronthaul for wireless systems based on a dynamically reconf ....Photonics Platform to Transform Mobile Fronthaul Infrastructure. Future wireless systems of mobile networks and defence platforms will need to offer high-speed, low-delay, reliable connectivity and high bandwidth. With the explosive growth of wireless systems, this creates significant challenges in fronthaul - the link connecting antennas with the signal processors and core network. This project aims to design and develop an innovative fronthaul for wireless systems based on a dynamically reconfigurable, software-defined photonic platform capable of meeting diverse requirements. The outcomes of this project will help build a scalable fronthaul solution to overcome fundamental challenges and realise cost-effective pathways for transforming how future wireless networks and defence platforms are realised.Read moreRead less
Rainbows on demand: coherent comb sources on a photonic chip. This project aims to create photonic circuit technologies that will generate hundreds of coherent laser lines from a single chip. The emerging industrially scalable silicon nitride on thin-film lithium niobate platform will be advanced to create resonant modulators and nonlinear waveguides with unprecedented efficiency and innovative monitoring and control techniques. When combined, these components will enable highly flexible and rob ....Rainbows on demand: coherent comb sources on a photonic chip. This project aims to create photonic circuit technologies that will generate hundreds of coherent laser lines from a single chip. The emerging industrially scalable silicon nitride on thin-film lithium niobate platform will be advanced to create resonant modulators and nonlinear waveguides with unprecedented efficiency and innovative monitoring and control techniques. When combined, these components will enable highly flexible and robust systems for generating a comb of coherent laser lines. These photonic chip comb sources will be inexpensive, compact and energy efficient with transformative impact in spectroscopy, microscopy, precision measurement, quantum computing and ultra-fast optical fibre communications.Read moreRead less
Resilient Remote Environment Emulation for Human-to-Machine Communication. Human-to-machine haptic communication allow humans to immersively interact with remotely-located robots/machines. Current networks cannot support its technical demands, thereby limiting the achievable human-machine distance. This project aims to develop cloudlet intelligence together with a programmable resilient network to realise reliable remote environment emulation, a concept where the physical environment at the remo ....Resilient Remote Environment Emulation for Human-to-Machine Communication. Human-to-machine haptic communication allow humans to immersively interact with remotely-located robots/machines. Current networks cannot support its technical demands, thereby limiting the achievable human-machine distance. This project aims to develop cloudlet intelligence together with a programmable resilient network to realise reliable remote environment emulation, a concept where the physical environment at the remote machine is emulated close to the human. A key outcome will be the first reliable remote environment emulation platform that achieves vast human-machine distances on current networks. Enabling immersive human-machine experience will significantly benefit many sectors, from education through to industrial manufacturing.Read moreRead less