Literature DB >> 28569873

Single-shot chemical detection and identification with compressed hyperspectral Raman imaging.

Jonathan V Thompson, Joel N Bixler, Brett H Hokr, Gary D Noojin, Marlan O Scully, Vladislav V Yakovlev.   

Abstract

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.

Year:  2017        PMID: 28569873     DOI: 10.1364/OL.42.002169

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  2 in total

1.  Spectroscopic stimulated Raman scattering imaging of highly dynamic specimens through matrix completion.

Authors:  Haonan Lin; Chien-Sheng Liao; Pu Wang; Nan Kong; Ji-Xin Cheng
Journal:  Light Sci Appl       Date:  2018-05-04       Impact factor: 17.782

2.  Machine learning estimation of tissue optical properties.

Authors:  Brett H Hokr; Joel N Bixler
Journal:  Sci Rep       Date:  2021-03-22       Impact factor: 4.996

  2 in total

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