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3D Image Rendering Software for Biological Tissues

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The Frederick National Laboratory for Cancer Research seeks parties interested in collaborative research to co-develop software for the automatic 3-D visualization of biological image volumes.
NIH Reference Number
Product Type
  • Biological imaging
  • Tissue rendering
  • K-means++ clustering algorithm
  • 3D imaging
Collaboration Opportunity
This invention is available for licensing.
Description of Technology

Available for commercial development is software that provides automatic visualization of features inside biological image volumes in 3D. The software provides a simple and interactive visualization for the exploration of biological datasets through dataset-specific transfer functions and direct volume rendering. The method employs a K-Means++ clustering algorithm to classify a two-dimensional histogram created from the input volume. The classification process utilizes spatial and data properties from the volume. Then using properties derived from the classified clusters, the software automatically generates color and opacity transfer functions and presents the user with a high quality initial rendering of the volume data.  The user input can be incorporated through a simple yet intuitive interface for transfer function manipulation included in our framework. Our new interface helps users focus on feature space exploration instead of the usual effort intensive, low-level manipulation.

Potential Commercial Applications
  • Biological Tissue Visualization in 3D
Competitive Advantages
  • User Friendly, intuitive interface

Yanling Liu (NCI), Jack R Collins (NCI), Curtis R Lisle

Development Stage

Maciejewski R, et al. [PMID 19834223]

Zhou J, Takatsuka M. [PMID 19834224]

Patent Status
  • Research Material: NIH will not pursue patent prosecution for this technology
  • Research Material: NIH will not pursue patent prosecution for this technology
Therapeutic Area
Tuesday, January 26, 2021