University: Heriot Watt University
Sector(s): Life Sciences, Electronics, Sensors & Photonics, Energy & Renewables, Healthcare & Pharmaceuticals, Information & Communications Technologies, Other
A problem within visual microscopy is that many "features of interest" are below the diffraction limit of the imaging system itself (~200nm for visible light) making studies on living cells, biological process or analysis of fine structure (e.g. porous rock in geology) challenging. Building on expertise in signal & data processing algorithms TRAM exploits new methods to restore high resolution super resolution images from low resolution data files.
- Complementary to existing microscopy systems
- Proof of Concept Demonstrated on commercial microscope systems (e.g. Olympus IX81)
- ~7x increase in lateral spatial resolution
- Super Resolution Image Quality from Low Resolution Data
- "Wavelength Independant processing" - broad application within imaging
- Life sciences imaging - applicable to Fluorescence, visible & IR microscopy data files
- Medical Imaging - X-ray, NMR, PET scans etc.
Patent Pending IPR - "A Super Resolution Restoration method" filed as a GB Priority filing (January 2013) protecting the method, software code & algorithms.
Proof of concept is demonstrated and a white paper planned for 2013 - "Multi Colour Super Resolution Microscopy"