Facilities
The Division of Medicine's core facilities include imaging technologies, flow cytometry facilities, microscopes, and grating-coupled interferometry technology, located across the Bloomsbury campus.
Paul O'Gorman Building
The Centre for Advanced Biomedical Imaging (CABI), based in Huntley Street, is ideally suited for cross-disciplinary work in neuroscience, cardiovascular biology and oncology. Our state of the art equipment includes the following.
Magnetic Resonance Imaging
MRI has revolutionised diagnostic medicine. The MRI scanner at CABI uses a much higher magnetic field compared to typical clinical scanners, allowing us to push the boundaries of anatomical imaging.
PET / SPECT / CT
CABI's preclinical nuclear imaging facility has a state-of-the-art dual NanoSPECT/CT system and nanoScan PET/CT scanner. Both offer sub-millimetre spatial resolution and up to 35µm X-ray CT resolution
Photoacoustic Imaging
We have a novel high-resolution preclinical photoacoustic scanner, based upon on a highly sensitive optical ultrasound detector developed in UCL Department of Medical Physics & Biomedical Engineering.
Ultrasound
Ultrasound with high image quality, increased frame rates, superb contrast, unrivalled resolution, and wide field of view. The system is easy to use, non-invasive and fast, providing high throughput.
Bioluminescence Imaging
Bioluminescence is the production of light by a living organism. Our Centre for Advanced Biomedical Imaging applies this technique to investigate various disease models and experimental therapies.
X-Ray Computed Tomography
X-ray computerized tomography (X-ray CT) is widely available and is the most frequently used imaging technique in the clinic. At CABI, we have developed CT subsystems with novel applications.
Xenon Hyperpolariser
The Xenon Hyperpolariser is used clinically for pulmonology research and diagnosis. The Centre for Advanced Biomedical Imaging (CABI) uses this to study the lungs.
Cruciform Building
Creoptix WAVEsystem
The WAVE puts binding kinetics analysis at your fingertips. Its high data quality, sample compatibility and automated software enables drug discovery and inroads into R&D. For UCL and external users.
Zeiss LSM 880 Airyscan
The LSM 880 is a scanning confocal system with four detectors (including Airyscan) on an upright microscope. Features temperature-regulated detectors, electronics, and scanners for versatile imaging.
Rayne Building
The Rayne facility provides training and access to cutting-edge flow cytometry analysers and cell sorting instruments with both conventional and spectral based technology.
Flow Cytometry Facility
Our equipment includes:
- BD FACS Discover S8
- BD FACS Aria (SORP)
- Sony ID7000 Spectral Analyser
- BD LSRFortessa X-20 (SORP)
- BD LSRFortessa
- BDFACS Verse
Rayne Flow Cytometry Facility
The Rayne facility provides training and access to cutting-edge flow cytometry analysers and cell sorting instruments with both conventional and spectral based technology. UCL staff and students only.
Cell Imaging
A part-managed facility containing:
- A Zeiss Axioskop 2 fluorescent microscope linked to computer controlled colour and black & white cameras.
- Typhoon 8600 variable mode imager, for imaging gels/membranes using chemiluminescence, fluorescence or phosphor
- DIGE imaging of cy- labelled proteins with software for proteomic analysis.
These are available through a booking system at low cost.
Contact
- Dr Dean Heathcote (d.heathcote@ucl.ac.uk)
- Dr Paul Frankel (p.frankel@ucl.ac.uk)
Royal Free, Hampstead
The Centre for Biomedical Science (CBS) comprises expert staff and platforms for Advanced Microscopy, Proteomics and Transgenics and prioritises collaborations with investigators located on the Royal Free Campus. Major platforms include:
- Confocal microscopes
- UPLC-Orbitrap/ETD and MALDI-TOF/TOF mass spectrometers
- Plasmid micro-injection stages.
All three units offer advice for project design, costing and grant application. They operate on a cost-recovery basis, and welcome new collaborations in translational biomedical research.
Contact
- Prof. Justin Hsuan (j.hsuan@ucl.ac.uk).
