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Proceedings Paper

Visualization and analysis of large three-dimensional hyperspectral images
Author(s): Stephen E. Reichenbach; Xue Tian; Robert Lindquist; Qingping Tao; Alex Henderson; John C. Vickerman
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Paper 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.

Paper Details

Date Published: 27 April 2009
PDF: 10 pages
Proc. SPIE 7341, Visual Information Processing XVIII, 734108 (27 April 2009); doi: 10.1117/12.820870
Show Author Affiliations
Stephen E. Reichenbach, Univ. of Nebraska, Lincoln (United States)
Xue Tian, Univ. of Nebraska, Lincoln (United States)
Robert Lindquist, Univ. of Nebraska, Lincoln (United States)
Qingping Tao, GC Image, LLC (United States)
Alex Henderson, Univ. of Manchester (United Kingdom)
John C. Vickerman, Univ. of Manchester (United Kingdom)


Published in SPIE Proceedings Vol. 7341:
Visual Information Processing XVIII
Zia-Ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)

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