Discovery Early Career Researcher Award - Grant ID: DE150101655
Funder
Australian Research Council
Funding Amount
$297,036.00
Summary
Discriminative detection and quantification of cancer imaging biomarkers. This project aims to develop a new framework for the detection and quantification of cancer biomarkers in diagnostic and histopathology images with discriminative modelling of intrinsic structures. The framework will be the first computerised solution to provide automated, quantitative annotations of cancer imaging biomarkers at the macroscopic and microscopic levels to support standardised reporting of image interpretatio ....Discriminative detection and quantification of cancer imaging biomarkers. This project aims to develop a new framework for the detection and quantification of cancer biomarkers in diagnostic and histopathology images with discriminative modelling of intrinsic structures. The framework will be the first computerised solution to provide automated, quantitative annotations of cancer imaging biomarkers at the macroscopic and microscopic levels to support standardised reporting of image interpretation. It will help to alleviate the inter-observer variability and time-consuming process of manual analysis. The project aims to advance fundamental biomedical imaging research in generalised visual structure extraction and classification, and enable large-scale translational research in systems pathology for personalised cancer care.Read moreRead less
Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically an ....Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically and clinically significant discoveries in biomedical research. This project will help Australian researchers in statistics and users of statistics (from fields as diverse as biology, ecology, medicine, finance, agriculture and the social sciences) to make better predictions that are easier to understand.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100092
Funder
Australian Research Council
Funding Amount
$300,000.00
Summary
Fluorescence microscopy with optical tweezers: imaging cellular responses. Life relies on the ability of our cells to receive and respond to signals with pinpoint accuracy, involving both chemical and mechanical signals. This equipment will allow scientists to expose cells to both types of signals and measure the response at an unprecedented level of accuracy for the first time.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100210
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
In-vivo, high-resolution, whole animal imaging . The purchase of state-of-the-art live-animal imaging equipment for use by researchers at The Australian National University and The University of New South Wales. This equipment will aid the study of many aspects of normal biology and disease including cancer, inflammation, autoimmune diseases and blood vessel disorders.
Real-time analysis of tumour-infiltrating T cells using novel analytical tools. By dynamic visualization of immune cells within intact tumours, we have shown that active screening for target cells optimises their anti-tumour effect. This project will develop novel mathematical/analytical tools to unravel the basic strategies that enable immune cells to position themselves at the right location at the right time.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100091
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
A five laser multichannel flow cytometry cell sorter for the University of New South Wales as part of an advanced flow cytometry network. Flow cytometry is a technique for counting and examining microscopic particles, such as cells and chromosomes, by suspending them in a stream of fluid and passing them by an electronic detection apparatus. This project will establish such advanced cell sorting instrumentation at the University of New South Wales, providing this capability to a wide range of re ....A five laser multichannel flow cytometry cell sorter for the University of New South Wales as part of an advanced flow cytometry network. Flow cytometry is a technique for counting and examining microscopic particles, such as cells and chromosomes, by suspending them in a stream of fluid and passing them by an electronic detection apparatus. This project will establish such advanced cell sorting instrumentation at the University of New South Wales, providing this capability to a wide range of researchers in diverse fields. The project will also provide a basis for establishing a flow cytometry network with partner institutes University of Sydney and the University of Technology, Sydney.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100078
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
Establishment of a comprehensive regional biophysical analysis facility. Interactions between molecules are needed for cells to function correctly. This facility will permit comprehensive molecular characterisation as well as research into the fundamentals of how molecules interact.