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Details of Grant 

EPSRC Reference: EP/H008632/1
Title: Multi-object, high-throughput, spectro-microscopy
Principal Investigator: Girkin, Professor J
Other Investigators:
Love, Professor G Allington-Smith, Dr J
Researcher Co-Investigators:
Project Partners:
Department: Physics
Organisation: Durham, University of
Scheme: Standard Research
Starts: 01 October 2009 Ends: 31 March 2013 Value (£): 451,469
EPSRC Research Topic Classifications:
Chemical Biology Instrumentation Eng. & Dev.
Scattering & Spectroscopy
EPSRC Industrial Sector Classifications:
Pharmaceuticals and Biotechnology
Related Grants:
EP/H007636/1 EP/H008799/1
Panel History:
Panel DatePanel NameOutcome
01 Jul 2009 Physical Sciences Panel - Physics Announced
Summary on Grant Application Form
Microscopy is a pervasive technology with applications from biology to material and nanoscience. At their heart, microscopes are predominately based on high numerical aperture, short focal length objective lenses producing images that can be seen by eye and/or electronically recorded, typically with 3-colour CCD cameras or a selection of coloured filters, but leaving the full spectral details unknown.We plan to revolutionise the field of spectroscopic microscopy by developing a technology that will provide full colour spectrum, simultaneously from many points within a sample. To record high resolution (spatially and spectral) spectra across an extended field of view with a conventional microscope one currently employs a time-sequential recording technique: either a spectrally dispersed image of a single point or a line is scanned across the scene, or an extended image is recorded through a spectrally scanned filter, both methods being comparatively slow. We propose to develop a novel approach combining all the advantages of the existing methods into a single unit: i.e. a system with both high spatial, spectral, and temporal resolution. Although real-time, high-resolution spectral imaging has been a goal for many years no existing approach comes close to this combination of features. Of those techniques that record spectral and image data simultaneously, the Computed Tomographic Imaging Spectrometer (CTIS) is of most interest. However our technique is superior because it can view the whole field indiscriminately, rather than specific regions, it is has a superior signal to noise ratio, and, most importantly, it has ~1000 spectral channels as opposed to ~50. This project will develop a demonstrator and benchmark it against challenging problems in bio microscopy, spectroscopy and security, including multipoint SERS and Raman microscopy, and spectroscopically contrasted imaging in a range of biological samples.
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