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Field of Research : Biomedical engineering
Australian State/Territory : VIC
Research Topic : funcitonal brain imaging
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP240100465

    Funder
    Australian Research Council
    Funding Amount
    $543,610.00
    Summary
    Next Generation Fluorescent Tools for Measuring Autophagy Dynamics in Cells. This project aims to create new molecular tools for detecting a crucial cell survival process called autophagy. Specifically, this project will develop small molecule fluorescent probes that are specific to autophagy, for the first time, by interacting with the key autophagy marker proteins or cargos. This will allow researchers to visualise and quantify autophagy activity in living cells without disrupting the system, .... Next Generation Fluorescent Tools for Measuring Autophagy Dynamics in Cells. This project aims to create new molecular tools for detecting a crucial cell survival process called autophagy. Specifically, this project will develop small molecule fluorescent probes that are specific to autophagy, for the first time, by interacting with the key autophagy marker proteins or cargos. This will allow researchers to visualise and quantify autophagy activity in living cells without disrupting the system, which is not currently possible. This project represents a major technical and knowledge advance that will improve our understanding of autophagy in fundamental biology and ultimately contribute to the development of new intervention strategies for diseases like neurodegeneration and cancers.
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    Active Funded Activity

    Mid-Career Industry Fellowships - Grant ID: IM230100002

    Funder
    Australian Research Council
    Funding Amount
    $1,056,049.00
    Summary
    Artificial intelligence empowered multi-modal biomedical imaging. This Industry Fellowship aims to transform biomedical imaging using artificial intelligence with world-leading industry partners. The project expects to make a major advance in multi-modal Magnetic Resonance Imaging and Positron Emission Tomography image reconstruction for robust, accurate and efficient imaging. This project timely addresses industry needs with novel solutions and will establish a technology roadmap to inform and .... Artificial intelligence empowered multi-modal biomedical imaging. This Industry Fellowship aims to transform biomedical imaging using artificial intelligence with world-leading industry partners. The project expects to make a major advance in multi-modal Magnetic Resonance Imaging and Positron Emission Tomography image reconstruction for robust, accurate and efficient imaging. This project timely addresses industry needs with novel solutions and will establish a technology roadmap to inform and de-risk future research and development in image reconstruction. The project outcomes should provide benefits to Australians with cost-effective imaging and benefits to Australia's biomedical industry with well-aligned intellectual properties and training of future scientists with industry knowledge.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230101628

    Funder
    Australian Research Council
    Funding Amount
    $512,607.00
    Summary
    Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging. This project aims to develop novel magnetic resonance imaging methods to investigate tissue structure and function. Current MRI technologies use standard water-based contrast mechanisms to generate images with limited tissue information. In contrast, this project expects to provide a non-invasive, ultra-high-resolution MRI technology that measures the electrical, magnetic, and chemical signals generated from the human bo .... Tissue Bio-physicochemical Quantification Using Magnetic Resonance Imaging. This project aims to develop novel magnetic resonance imaging methods to investigate tissue structure and function. Current MRI technologies use standard water-based contrast mechanisms to generate images with limited tissue information. In contrast, this project expects to provide a non-invasive, ultra-high-resolution MRI technology that measures the electrical, magnetic, and chemical signals generated from the human body. Thus, the new imaging methods can probe deeper biological functionality while examining tissue structure. The potential benefits include: expanding the scope and capabilities of current MRI, facilitating a wide range of imaging-based research and applications, and accelerating knowledge expansion in life science.
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