Super Resolution Imaging - Translational Microscopy (TRAM)

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Super Resolution Images (right hand) constructed using HWU algorithms
Super Resolution Images (right hand) constructed using HWU algorithms

University: Heriot Watt University

Sector(s): Life Sciences, Electronics, Sensors & Photonics, Energy & Renewables, Healthcare & Pharmaceuticals, Information & Communications Technologies, Other

About Opportunity:

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.

Key Benefits:

  • 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.

IP Status:

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"


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