Available technologies

LIGPLOT

The LIGPLOT software program automatically generates schematic 2-D representations of protein-ligand complexes from standard Protein Data Bank file input. The output is a colour or black-and-white PostScript file giving simple and informative representation of the intermolecular interactions, including hydrogen bonds and hydophyobic interactions. A java-based editor called LigEd allows the final plot to be interactively modified and fine-tuned if necessary.
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Magnetic Microbubbles

Magnetic microbubbles can be injected into the blood stream and may be directed to a specific body location by the application of an external magnetic field. They enhance ultrasound images, and can be used to deliver, and promote uptake of, cargo molecules such as drugs, antibodies or DNA. They thus have many potential applications in clinical settings, as well as in both basic and medical research.
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Bioactive Coating

A novel method of creating an inter-locked (high bond strength) bioactive coating on metallic substrates for orthopaedic applications.
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III-V laser diodes on germanium substrates

The Photonics Research Group at UCL have recently developed and demonstrated a monolithically integrated III-V compound semiconductor photonic structure on a Silicon substrate. The monolithic III-V on Silicon device opens up new possibilities for integrated system-on-a-chip designs with high bandwidth and high data transfer rates.
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Drug Delivery System for Crossing the Blood Brain or Blood Retinal Barrier (UDDS)

The blood retinal barrier (BRB), and the blood brain barrier (BBB), represent a significant impediment to drug delivery to the eye and the brain, respectively. This lack of drug penetration has resulted in diseases, such as Age-related Macular Degeneration (AMD), Alzheimer's Disease and Stroke being extremely difficult to address.

Although therapies to eye disease such as AMD already exist, they are delivered by intraocular injections with high risk of side effects related to the administration, the most significant being retinal detachment. The current challenge is to develop drug-delivery systems that ensure transitions across these barriers in a safe and effective manner.
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Passive Wireless Detection System

A team of researchers at UCL's Department of Electronic and Electrical Engineering, have developed a method for detection and tracking using existing wireless signals (WiFi) present in the everyday environment.
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Non-Volatile Memory – Resistive Random Access Memory RRAM

Research within the Department of Electronic and Electrical Engineering (E&EE) at UCL has led to the realisation of a new memory device, based on resistive switching which has the potential to be integrated directly onto silicon. The memory device exhibits very fast switching with high resistance contrast, requiring low switching energies and persist for extended periods of time.
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Smart Target Image-Guided Diagnosis and Treatment of Localised Prostate Cancer

SmartTarget is a technology developed in UCL's Centre for Medical Image Computing (CMIC) that enables image-directed tumour targeting during minimally invasive biopsy and therapy procedures for prostate cancer patients.
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New Micro-Cantilever Configuration

A team at London Centre for Nanotechnology are developing a device that is already being used to detect the presence viruses, bacteria and proteins from a single sample. It is based on a cantilever sensing method and is configured to give binding energy information as well as a quantative assay. The new system has already displaced use of the commercially available system in the Lab as the virologists find the new configuration much easier to use. The project is currently supported by the EPSRC for research on HIV management.
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MaxFlow Software

This software implements the popular maxflow algorithm described by Boykov and Kolmogorov in the paper:

"An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Computer Vision", published in IEEE Transactions on Pattern Analysis and Machine Intelligence, September 2004. It is found to be particularly effective in computer vision applications.
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