Open AccessHigh-throughput hyperspectral microscopy
Author(s) -
Michael E. Gehm,
David J. Brady
Publication year - 2006
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.644828
Subject(s) - hyperspectral imaging , undersampling , data cube , computer science , throughput , full spectral imaging , chemical imaging , remote sensing , cube (algebra) , imaging spectrometer , spectral imaging , optics , microscopy , computer vision , microscope , spectrometer , artificial intelligence , physics , geology , data mining , mathematics , combinatorics , wireless , telecommunications
A hyperspectral imager provides a 3-D data cube in which the spatial information (2-D) of the image is complemented by spectral information (1-D) about each spatial location. A static, high-throughput spectrometer design previously developed by our group can be used as the spectral engine in a high-throughput hyperspectral imager that avoids the Fourier undersampling issues present in previous dispersive designs. We present the theory for both pushbroom and tomographic operation and describe experimental results from our proof-of-concept implementation of a hyperspectral microscope.
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