27 April 2009 Visualization and analysis of large three-dimensional hyperspectral images
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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.
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Stephen E. Reichenbach, Stephen E. Reichenbach, Xue Tian, Xue Tian, Robert Lindquist, Robert Lindquist, Qingping Tao, Qingping Tao, Alex Henderson, Alex Henderson, John C. Vickerman, John C. Vickerman, "Visualization and analysis of large three-dimensional hyperspectral images", Proc. SPIE 7341, Visual Information Processing XVIII, 734108 (27 April 2009); doi: 10.1117/12.820870; https://doi.org/10.1117/12.820870

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