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Article type: Review Article
Authors: Levenson, Richard | Beechem, Joseph | McNamara, George
Affiliations: Pathology and Laboratory Medicine, University of California Davis, Sacramento, CA, USA | Genetic Systems, Life Technologies, Foster City, CA, USA | Analytical Imaging Core, University of Miami School of Medicine, Miami, FL, USA
Note: [] Corresponding author: Richard Levenson, Pathology and Laboratory Medicine, University of California Davis, Sacramento, CA, USA. E-mail: Levenson@ucdavis.edu
Abstract: Spectral imaging methods are attracting increased interest from researchers and practitioners in basic science, pre-clinical and clinical arenas. A combination of better labeling reagents and better optics creates opportunities to detect and measure multiple parameters at the molecular and cellular level. These tools can provide valuable insights into the basic mechanisms of life, and yield diagnostic and prognostic information for clinical applications. There are many multispectral technologies available, each with its own advantages and limitations. This chapter will present an overview of the rationale for spectral imaging, and discuss the hardware, software and sample labeling strategies that can optimize its usefulness in clinical settings.
Keywords: Image analysis, immunofluorescence, immunohistochemistry, machine-vision, multispectral imaging, oncology, pathology, personalized medicine, segmentation
DOI: 10.3233/ACP-2012-0062
Journal: Analytical Cellular Pathology, vol. 35, no. 5-6, pp. 339-361, 2012
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