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Software for Automated Generation of Density Maps

Summary
Available for licensing is computer software for the automated generation of density maps of macromolecular structures from a series of 2D digital micrographs of frozen hydrated specimens collected using an electron microscope equipped with an ultra-cooled computerized stage.
NIH Reference Number
E-162-2012
Product Type
Keywords
  • macromolecular structure
  • cryo-electron microscopy
  • density map
  • tomogram
  • tomography
Collaboration Opportunity
This invention is available for licensing and co-development.
Contact
Description of Technology

The  National Cancer Institute (NCI) is seeking parties interested in licensing software for the automated determination of macromolecular structures using cryo-electron microscopy.

The technology available is computer software for the automated generation of density maps of macromolecular structures from a series of 2D digital micrographs of frozen hydrated specimens collected using an electron microscope equipped with an ultra-cooled computerized stage.  A series of images of biological specimens collected at different tilt angles relative to the electron beam are aligned to compensate for mechanical errors of the stage and combined to obtain 3D images (tomograms). Sub-volumes containing a single macromolecular complex can be extracted from the 3D image of a protein solution, or from a suspension of viruses or cells. The individual sub-volumes of identical structures are aligned and averaged together to generate a density map of the macromolecular complex of interest.
 

Potential Commercial Applications
  • Macromolecular imaging
  • Mapping of molecular interactions
  • Determination of molecular structure and reactivity
Competitive Advantages
  • Noise processing
  • Algorithmic averaging
Inventor(s)

Mario Borgnia

Development Stage
Publications

F. Amat et al. Markov random field based automatic image alignment for electron tomography.  [PMID 17855124]

A. Bartesaghi et al. An energy-based three-dimensional segmentation approach for the quantitative interpretation of electron tomograms. [PMID 16190467]

Patent Status
  • Research Material: NIH will not pursue patent prosecution for this technology
Therapeutic Area
Updated
Thursday, June 7, 2018