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  • Image :NRNC05 - Detection of closed cracks in  highly attenuative materials

    NRNC05 - Detection of closed cracks in highly attenuative materials

    • Materials

    Detection of Closed Cracks in Highly Attenuative Materials

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  • Image :NRN026 - Efficient Modelling and Optimisation of Advanced Nano-Plasmonic Optical Biosensors and Markers

    NRN026 - Efficient Modelling and Optimisation of Advanced Nano-Plasmonic Optical Biosensors and Markers

    • Sensors and Devices, 
    • Modelling

    The aim of this proposal is to develop an efficient modelling technique for quantitative description, analysis, and optimization of advanced intracellular biosensors and markers for research and therapy based on optical resonances of metal nanoparticles.

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  • Image :NRN049 - Understanding Aspects of Cardiovascular Disease via A Multi-Physics Modelling Methodology

    NRN049 - Understanding Aspects of Cardiovascular Disease via A Multi-Physics Modelling Methodology

    • Modelling, 
    • Knowledge Transfer

    We have developed a mathematical / computational framework for the in silico testing of pharmacological probes related to vascular disease. This novel approach has been validated experimentally and aspects of the work published in a number of peer reviewed journals.

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  • Image :NRN113 - On-Chip Microfluidic Nanoscope for  Super-Resolution Imaging and Analysis of Biological Samples

    NRN113 - On-Chip Microfluidic Nanoscope for Super-Resolution Imaging and Analysis of Biological Samples

    • Sensors and Devices, 
    • Knowledge Transfer

    One of the great challenges in optics is to break diffraction limit to achiever optical super-resolution for imaging, sensing applications in nanoscale. Bangor University pioneered microsphere super-resolution imaging technique which features real-time, label-free super-resolution imaging capability under white light illumination

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  • Image :NRN024 - Flexible Access networks using Intelligent and Reconfigurable elements

    NRN024 - Flexible Access networks using Intelligent and Reconfigurable elements

    • Sensors and Devices, 
    • Modelling

    This project will contribute to a dynamic, application-aware, software-controlled, high throughput network framework capable of automatically and elastically extending required facilities depending upon actual application demand.

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