Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the ....Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the approach to image artefacts and image quantification. This project is expected to advance both single subject and population level biomedical imaging with greater accuracy and cost-effectiveness. This project also promotes explainable and generalisable artificial intelligence in medical imaging.Read moreRead less
Rapid detection of rare-event cells by strong UP-conversion
encoded nano-radiators (SUPER Dots): finding a needle in a haystack. Current diagnostic tests are not sensitive enough to detect cancer in its very early stages or early recurrence following treatment. The new technologies developed by this project will be able to find single cancer cells in blood and urine samples heralding a new era in medical diagnostics.
Beyond Spectral Detection: Engineering SUPER Dot Probes for High-Throughput Discovery. Molecules that are altered as a result of a pathological condition are generally present in very low abundance, and pose a “needle-in-a-haystack” problem. Current detection, quantification and localisation technologies use fluorescent probes that are limited by sensitivity and analysis time. This project will develop a new generation of nanophotonic luminescent probes (Strong Upconversion Photo-stable Encoded ....Beyond Spectral Detection: Engineering SUPER Dot Probes for High-Throughput Discovery. Molecules that are altered as a result of a pathological condition are generally present in very low abundance, and pose a “needle-in-a-haystack” problem. Current detection, quantification and localisation technologies use fluorescent probes that are limited by sensitivity and analysis time. This project will develop a new generation of nanophotonic luminescent probes (Strong Upconversion Photo-stable Encoded nano-Radiators (SUPER) Dots), based on purpose-engineered up-conversion nanocrystals that are ultra-bright and have low background interference, high specificity, speed, and large-scale multiplexing capacity. These probes will allow microscopy and flow cytometry to measure hitherto undetectable rare-event molecules and cells, opening new frontiers for the discovery of new biomarkers.Read moreRead less