Multi-modal virtual microscopy for quantitative diagnostic pathology. This project will contribute to the next generation of virtual microscopy systems that provide innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of diagnostic pathology. These tools will especially contribute to the screening and diagnosis of cervical, lung and bladder cancer.
Continuously learning to see. The ultimate goal of computer vision is to make a machine able to understand the world through analysis of images or videos. The new machine learning techniques developed in this project will enable previously impossible methods of computer vision and help strengthen Australia's competitiveness in this important area.
How do mechanical cues regulate tissue renewal and tumour progression? Imbalances between cell production and cell death in tissues can be catastrophic, leading to major global health issues such as cancer. This project will use modified mice and protein-protein interaction based techniques to identify how changes in the mechanical properties of tissues regulate the balance between cell production and cell death.
The microbe factory: a novel approach to benign minerals processing. The purpose of this project is to reduce the environmental impact of current mining practices. The anticipated outcome of this project is the replacement of toxic chemicals used in the separation of minerals with the novel use of environmentally benign microbes.