Open AccessSingle-shot chemical detection and identification with compressed hyperspectral Raman imaging
Author(s) -
Jonathan V. Thompson,
Joel N. Bixler,
Brett H. Hokr,
Gary D. Noojin,
Marlan O. Scully,
Vladislav V. Yakovlev
Publication year - 2017
Publication title -
optics letters/optics index
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.524
H-Index - 272
eISSN - 1071-2763
pISSN - 0146-9592
DOI - 10.1364/ol.42.002169
Subject(s) - hyperspectral imaging , compressed sensing , chemical imaging , raman spectroscopy , optics , microscopy , materials science , spectral imaging , microscope , computer science , remote sensing , artificial intelligence , physics , geology
Raman imaging is a powerful method to identify and detect chemicals, but the long acquisition time required for full spectroscopic Raman images limits many practical applications. Compressive sensing and compressed ultrafast photography have recently demonstrated the acquisition of multi-dimensional data sets with single-shot detection. In this Letter, we demonstrate the utilization of compressed sensing for single-shot compressed Raman imaging. In particular, we use this technique to demonstrate the identification of two similarly white substances in one image via the recovered two-dimensional array of Raman spectra. This technique can be further extended by coupling the compressed sensing apparatus with a microscope for compressed hyperspectral imaging microscopy.