Dynamic Mechano-Microscopy for use in Mechanobiology . We will develop an innovative microscope that will enable new discoveries in biology. Most microscopes form images of a sample's optical properties, instead we will image a sample's mechanical properties. The reason our novel approach is needed is that cell behaviour depends on the stiffness of it's environment, but current microscopes are unable to image this. Our microscope will provide insights in biology that can improve our understandi ....Dynamic Mechano-Microscopy for use in Mechanobiology . We will develop an innovative microscope that will enable new discoveries in biology. Most microscopes form images of a sample's optical properties, instead we will image a sample's mechanical properties. The reason our novel approach is needed is that cell behaviour depends on the stiffness of it's environment, but current microscopes are unable to image this. Our microscope will provide insights in biology that can improve our understanding of cells, the building blocks of life. We will achieve this by: 1. Developing a microscope that combines microscopic resolution with rapid imaging; 2: Developing the capability to image both within the cell and its surrounding environment; and 3. Using our microscope to make discoveries in biology.Read moreRead less
Dynamic multi-modal x-ray imaging. This project aims to create sensitive new methods of x-ray imaging that capture multiple image modalities with a single snapshot. Conventional x-ray imaging is widely used in a range of industries, but captures only a fraction of the rich information that is available in the x-ray wavefield. This project expects to extract additional image modalities to reveal x-ray-transparent features, and detect microscopic textures. By combining these capabilities with the ....Dynamic multi-modal x-ray imaging. This project aims to create sensitive new methods of x-ray imaging that capture multiple image modalities with a single snapshot. Conventional x-ray imaging is widely used in a range of industries, but captures only a fraction of the rich information that is available in the x-ray wavefield. This project expects to extract additional image modalities to reveal x-ray-transparent features, and detect microscopic textures. By combining these capabilities with the ability to capture images of a moving sample, this project will enable innovative biomedical and materials research studies, and develop new imaging technologies for use in security, hospitals and manufacturing. New methods of x-ray imaging will have wide-ranging benefits for society, the economy and healthcare.Read moreRead less
Removing the blur: Guidestar lasers for the space industry . The speed and quality of transferring information between earth and space can be greatly enhanced by adaptive optical systems that provide correction for atmospheric aberrations. The laser-generated guidestars that lie at the heart of these systems must be bright, preferably multi-coloured and with low background. By taking advantage of the unique optical properties of diamond, this project aims to develop lasers that produce these adv ....Removing the blur: Guidestar lasers for the space industry . The speed and quality of transferring information between earth and space can be greatly enhanced by adaptive optical systems that provide correction for atmospheric aberrations. The laser-generated guidestars that lie at the heart of these systems must be bright, preferably multi-coloured and with low background. By taking advantage of the unique optical properties of diamond, this project aims to develop lasers that produce these advanced features to fulfil the needs of the space industry sector. These outcomes are expected to create new services and products in the areas of space situational awareness, space debris management and satellite communications, and have major spin-off benefits to astronomy and defence.Read moreRead less
Next generation photonic waveguide sensors enabled by machine learning. This project aims to establish the next frontier in photonic waveguide sensing, by using machine learning to shift the complexity out of conventional photonic-waveguide/optical-fibre sensors and into smart detection algorithms. The complexity and instability of multimode photonic waveguides, traditionally a hinderance to sensing, will be advantageously employed to train deep learning models for sensing. Expected outcomes inc ....Next generation photonic waveguide sensors enabled by machine learning. This project aims to establish the next frontier in photonic waveguide sensing, by using machine learning to shift the complexity out of conventional photonic-waveguide/optical-fibre sensors and into smart detection algorithms. The complexity and instability of multimode photonic waveguides, traditionally a hinderance to sensing, will be advantageously employed to train deep learning models for sensing. Expected outcomes include the creation of intelligent photonic sensors that can, in principle, measure any environmental parameter using any optical waveguide material. It will create new critically needed measurement capabilities for challenging harsh environments, such as extreme temperature and in-vivo biochemical sensing.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101402
Funder
Australian Research Council
Funding Amount
$415,000.00
Summary
Multi-scale, multi-modal X-ray imaging using speckle. This project aims to develop new X-ray imaging methods that capture multiple next-generation image modalities at an unprecedented range of length and time scales. While conventional X-ray imaging is routinely used in medicine and industry, it can only visualise high-density materials like bone. To reveal low-density objects like biological soft tissue and microstructure like tiny cracks, the project plans to extract two complementary image mo ....Multi-scale, multi-modal X-ray imaging using speckle. This project aims to develop new X-ray imaging methods that capture multiple next-generation image modalities at an unprecedented range of length and time scales. While conventional X-ray imaging is routinely used in medicine and industry, it can only visualise high-density materials like bone. To reveal low-density objects like biological soft tissue and microstructure like tiny cracks, the project plans to extract two complementary image modalities using a robust setup that does not rely on large-scale facilities. Significant benefits from the developed methods are expected for leading-edge research in fields including biomedicine, materials science and palaeontology, and industries such as security, medical diagnostics and manufacturing.Read moreRead less