Abstract
We present the use of correlation analysis on spectral data in order to quantify the amount of a given spectrum present with respect to a reference spectrum. The method is shown to be useful in analyzing hyperspectral fluorescence images. It is unhindered by the linear relationship assumed in linear spectral unmixing, and in addition, it is shown to be robust with respect to noise.
Publication types
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Letter
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Research Support, Non-U.S. Gov't
MeSH terms
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Amyloid beta-Protein Precursor / genetics
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Amyloid beta-Protein Precursor / metabolism
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Animals
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Brain / metabolism
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Brain / pathology
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Diagnostic Imaging / methods*
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Diagnostic Imaging / statistics & numerical data
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Female
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Fluorescent Dyes
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Male
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Mice
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Mice, Transgenic
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Microscopy, Fluorescence, Multiphoton / methods*
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Microscopy, Fluorescence, Multiphoton / statistics & numerical data
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Optical Phenomena
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Plaque, Amyloid / metabolism
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Plaque, Amyloid / pathology
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Presenilin-1 / genetics
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Presenilin-1 / metabolism
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Signal-To-Noise Ratio
Substances
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Amyloid beta-Protein Precursor
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Fluorescent Dyes
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Presenilin-1