Visualization and analysis of large three-dimensional hyperspectral images

Stephen E. Reichenbach, Xue Tian, Robert Lindquist, Qingping Tao, Alex Hendersonc, John C. Vickerman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

New technologies for Secondary Ion Mass Spectrometry (SIMS) produce three-dimensional hyperspectral chemical images with high spatial resolution and fine mass-spectral precision. SIMS imaging of biological tissues and cells promises to provide an informational basis for important advances in a wide variety of applications, including cancer treatments. However, the volume and complexity of data pose significant challenges for interactive visualization and analysis. This paper describes new methods and tools for computer-based visualization and analysis of SIMS data, including a coding scheme for efficient storage and fast access, interactive interfaces for visualizing and operating on three-dimensional hyperspectral images, and spatio-spectral clustering and classification.

Original languageEnglish (US)
Title of host publicationVisual Information Processing XVIII
DOIs
Publication statusPublished - Sep 7 2009
EventVisual Information Processing XVIII - Orlando, FL, United States
Duration: Apr 14 2009Apr 15 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7341
ISSN (Print)0277-786X

Conference

ConferenceVisual Information Processing XVIII
CountryUnited States
CityOrlando, FL
Period4/14/094/15/09

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Keywords

  • Hyperspectral image processing
  • Secondary ion mass spectrometry (SIMS)
  • Three-dimensional image processing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Reichenbach, S. E., Tian, X., Lindquist, R., Tao, Q., Hendersonc, A., & Vickerman, J. C. (2009). Visualization and analysis of large three-dimensional hyperspectral images. In Visual Information Processing XVIII [734108] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7341). https://doi.org/10.1117/12.820870