Discovery Early Career Researcher Award - Grant ID: DE230100178
Funder
Australian Research Council
Funding Amount
$453,913.00
Summary
Fast, lightweight and live nanopore sequencing analysis. This project aims to address limitations in nanopore sequencing (latest emerging technology in genomics) by applying advanced computational methods. This project expects to create new knowledge in bioinformatics and computer science through innovative approaches that leverage the live data streaming capability of nanopore devices to deliver results rapidly, or in real-time. Expected outcomes include improved, highly efficient analysis meth ....Fast, lightweight and live nanopore sequencing analysis. This project aims to address limitations in nanopore sequencing (latest emerging technology in genomics) by applying advanced computational methods. This project expects to create new knowledge in bioinformatics and computer science through innovative approaches that leverage the live data streaming capability of nanopore devices to deliver results rapidly, or in real-time. Expected outcomes include improved, highly efficient analysis methods and designs for future creation of custom computer hardware for nanopore analysis. This will facilitate widespread adoption of nanopore technology in bioscience research and applied domains (health, agriculture, ecology, biosecurity and forensics), including for portable in-the-field applications. Read moreRead less
3D integrated crystalline UV optical lens-fiber couplers for astronomy. This project aims to create micro-optics for astronomical and bio medical applications by 3D sculpturing them out of crystals by ultra-short pulse lasers. This project will introduce a new 3D fabrication approach of optical probes which have self-aligned micro-optical elements and optical fibres for a wide spectral range and with high quality optical surfaces. Expected outcomes of this project include building new capabiliti ....3D integrated crystalline UV optical lens-fiber couplers for astronomy. This project aims to create micro-optics for astronomical and bio medical applications by 3D sculpturing them out of crystals by ultra-short pulse lasers. This project will introduce a new 3D fabrication approach of optical probes which have self-aligned micro-optical elements and optical fibres for a wide spectral range and with high quality optical surfaces. Expected outcomes of this project include building new capabilities in micro-optical probes for industrial environments, establishing new solutions for international astronomy partners, and developing new techniques to image through optical fibres. This should provide significant benefits by improving astronomical instrumentation and also lead to less invasive endoscopy.Read moreRead less
Nanopore sensors for multiplexed, ultra-fast gene detection. The aim of this research is to develop the application of protein nanopores for multiplex identification of DNA samples for ultrafast gene detection. This is a type of barcoding of organism DNA that allows for rapid gene identification. This technology aims to address a significant need for rapid, on-the-spot identification of organisms. Applications include rapid identification of pathogenic bacteria in infections and identification o ....Nanopore sensors for multiplexed, ultra-fast gene detection. The aim of this research is to develop the application of protein nanopores for multiplex identification of DNA samples for ultrafast gene detection. This is a type of barcoding of organism DNA that allows for rapid gene identification. This technology aims to address a significant need for rapid, on-the-spot identification of organisms. Applications include rapid identification of pathogenic bacteria in infections and identification of organisms in environmental sampling. Current methods are relative slow, require DNA amplification and specialised laboratories.
This proposal aims to fine tune the properties of the large nanopore, polyC9, with respect to size and charge, as well as to identify and characterise novel large nanopores. Read moreRead less
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less
Enlightening single rare-earth atoms in scanning-tunnelling microscopy. This project aims to create a tool to systematically engineer optical properties of emitters in solids by understanding and manipulating materials atom by atom. The tool – an optically enhanced scanning tunnelling microscope – is expected to drive future developments in optical technologies. The project expects to deliver an atomic-scale understanding of rare-earth sites optimised for sensing and coherence. The expected outc ....Enlightening single rare-earth atoms in scanning-tunnelling microscopy. This project aims to create a tool to systematically engineer optical properties of emitters in solids by understanding and manipulating materials atom by atom. The tool – an optically enhanced scanning tunnelling microscope – is expected to drive future developments in optical technologies. The project expects to deliver an atomic-scale understanding of rare-earth sites optimised for sensing and coherence. The expected outcomes include highly developed theoretical insights into solid-state emitters and how to control their interactions with light and other fields. The expected benefit based on the ability to engineer optimised emitters for optical sensors and quantum technologies will transform material science from exploration to design.Read moreRead less