Visualization and analysis of large three-dimensional hyperspectral images

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

doi:10.1117/12.820870

Visualization and analysis of large three-dimensional hyperspectral images

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

Research output: Contribution to journal › Article › peer-review

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. © 2009 SPIE.

Original language	English
Article number	734108
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7341
DOIs	https://doi.org/10.1117/12.820870
Publication status	Published - 2009

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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

Research Highlights, Institutes and Platforms

Manchester Institute of Biotechnology

Access to Document

10.1117/12.820870

http://dx.doi.org/10.1117/12.820870

Cite this

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title = "Visualization and analysis of large three-dimensional hyperspectral images",

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. {\textcopyright} 2009 SPIE.",

keywords = "Hyperspectral image processing, Secondary ion mass spectrometry (SIMS), Three-dimensional image processing",

author = "Reichenbach, \{Stephen E.\} and Xue Tian and Robert Lindquist and Qingping Tao and Alex Hendersonc and Vickerman, \{John C.\} and Alex Henderson",

year = "2009",

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language = "English",

volume = "7341",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

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TY - JOUR

T1 - Visualization and analysis of large three-dimensional hyperspectral images

AU - Reichenbach, Stephen E.

AU - Tian, Xue

AU - Lindquist, Robert

AU - Tao, Qingping

AU - Hendersonc, Alex

AU - Vickerman, John C.

AU - Henderson, Alex

PY - 2009

Y1 - 2009

N2 - 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. © 2009 SPIE.

AB - 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. © 2009 SPIE.

KW - Hyperspectral image processing

KW - Secondary ion mass spectrometry (SIMS)

KW - Three-dimensional image processing

U2 - 10.1117/12.820870

DO - 10.1117/12.820870

M3 - Article

VL - 7341

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 734108

ER -

Visualization and analysis of large three-dimensional hyperspectral images

Abstract

UN SDGs

Keywords

Research Highlights, Institutes and Platforms

Access to Document

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Cite this