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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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Conventional x-ray imaging is firmly established as an invaluable tool in medicine, security, research and manufacturing. However, conventional methods extract only a fraction of the sample
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
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My research connects stars, dust, and gas, with the goal of building a unified multidimensional picture of the Milky Way and nearby galaxies. I am particularly interested in the lifecycle of matter
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for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors, topological insulators), performing high bandwidth and high sensitivity vector magnetic sensing and developing
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and changes the world around us. Our world-class researchers are driven by a passion and commitment to leaving a more sustainable legacy for future generations. Monash University and the Australian
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use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from stars, active galactic nuclei, warm dust, atomic hydrogen and relativistic electrons. Spectroscopic