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The Effect of Unicompartmental Knee Replacement Tibial Component Design on Proximal Tibial Strain and Ongoing Pain: A study of clinical and radiological outcome and finite element analysis |
Dr Pankaj Pankaj
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Bioengineering |
Knee osteoarthritis (OA) is a common degenerative joint disease affecting 12% of the over 60s symptomatically. In approximately 20% of cases this is isolated to the medial compartment of the knee and could be managed with unicompartmental knee replacement (UKR) rather than total knee replacement (TKR). However, the survivorship of UKRs is globally inferior to that of TKRs. Unexplained pain is the second commonest cause for revision of UKR, but this is not the case with TKRs. We hypothesised that elevated proximal tibial strain under medial UKR implants may be a cause of this unexplained pain. The aims of this study are therefore to determine the effect of medial UKR tibial component design on proximal tibial strain and pain.
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TOTALPHOTON: A Total Photon Camera for Molecular Imaging of Live Cells |
Dr Robert Henderson
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Integrated Micro and Nano Systems |
How can we construct a high-resolution camera capable of imaging the time-of-arrival, polarisation and wavelength of each of the maximal 10Gphoton/s emitted from a labelled, biological cell?
Such a measurement would capture the complete information available in the optical signal, and significantly enhance our ability to observe the organisation, movement and interactions of cellular components at molecular scales.
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SPADnet: Fully Networked, Digital Components for Photon-starved Biomedical Imaging Systems |
Dr Robert Henderson
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Integrated Micro and Nano Systems |
Single photon sensitive detectors for Positron Emission Tomography (PET).
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Development of an Instrument for Rapidly Detecting Cryptosporidium in Drinking Water |
Dr Robert Henderson
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Integrated Micro and Nano Systems |
Cryptosporidium is a waterborne microorganism which causes severe diarrhoea and can be fatal for immuno-compromised individuals, infants and young children. It is estimated that Cryptosporidium contamination of drinking water results in 250-500 million cases each year in developing countries and 60,000 in the UK alone. The Cryptosporidium organism has a thick outer wall that is resistant to many conventional water treatment methods, and outbreaks are a problem even in the developed world, negatively impacting population health and economic development - daily monitoring of the water supply is required.
Current Cryptosporidium detection methods are expensive and highly time-consuming - requiring microscopic examination by skilled scientists. Furthermore, these techniques lack species and viability information, which is essential to make well-informed public health decisions. There is, therefore, a pressing need for an instrument capable of rapidly analysing drinking water samples for the presence, species and viability of Cryptosporidium microorganisms.
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PROTEUS: Multiplexed 'Touch and Tell' Optical Molecular Sensing and Imaging |
Dr Robert Henderson
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Integrated Micro and Nano Systems |
This project is all about multi-disciplinary collaboration - and capitalisation in a clinical setting of the many new vistas and opportunities that will arise. As such this research programme brings together a group of world class scientists (physicists, chemists, engineers and computer experts) and clinicians to design, make and test a cutting-edge bedside technology platform which will help doctors in the intensive care unit (ICU) make rapid and accurate diagnoses that would inform therapy and ensure patients get the right treatment, quickly. While we are developing our technology platform with a focus on ICU, it will also be applicable to a wide range of other healthcare situations.
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SuperGen UK Centre for Marine Energy Reseach |
Prof Robin Wallace
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Energy Systems |
UKCMER is the third phase of EPSRC investment in collaborative wave and tidal energy research. Edinburgh has led all three phases since 2003. There are 13 partner universities in the Centre working together on 15 projects. They work together to ensure joined-up regional, disciplinary and thematic effort to help meet the challenges in accelerating deployment towards and through 2020 targets
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Modelling advanced adsorption processes for post-combustion capture |
Prof Stefano Brandani
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Materials and Processes |
Carbon capture from power stations and industrial sources is an essential pillar in the effort of reducing greenhouse gas emissions in order to achieve the legally binding target set by the 2008 Climate Change Act of 80% reductions by 2050. The current state-of-the-art technologies for post-combustion capture (including retrofit options for existing plants) are based on amine scrubbers, but inherent energy requirements make this an expensive option and significant research is aimed at the development of next generation carbon capture processes that reduce the cost of capital equipment and the energy needed.
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Post-Combustion Carbon Capture Using MOFs: Materials and Process Development |
Prof Stefano Brandani
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Materials and Processes |
The proposal aims to develop an international collaborative research programme under Topic 4 of the FENCO-NET call: New innovative CO2 capture technologies.
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OFFGAS: OFFshore Gas Separation |
Prof Stefano Brandani
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Materials and Processes |
Gas separations on offshore platforms are of increasing importance for the purification of natural gas and for the separation of CO2 used in enhanced oil recovery (EOR).
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Adsorption Materials and Processes for Carbon Capture from Gas-Fired Flower Plants - AMPGas |
Professor Stefano Brandani
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Materials and Processes |
The 2008 Climate Change Act sets a legally binding target of 80% CO2 emissions reductions by 2050. To meet this challenge the UK Climate Change Committee (CCC) issues regular carbon budgets with recommendations on the way in which the UK needs to reduce its emissions. In its 2010 4th carbon budget, there is a clear plan for power sector decarbonation to 2030, by investing in 30-40 GW of low carbon capacity with a value of the order of £100 billion. This would drive average emissions from generation down to around 50gCO2/kWh by 2030 and includes 4 CCS demonstration plants by 2020.
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