Single-shot chemical detection and identification with compressed hyperspectral Raman imaging. Academic Article uri icon

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.

published proceedings

  • Opt Lett

altmetric score

  • 4.75

author list (cited authors)

  • Thompson, J. V., Bixler, J. N., Hokr, B. H., Noojin, G. D., Scully, M. O., & Yakovlev, V. V.

citation count

  • 31

complete list of authors

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

publication date

  • June 2017