A novel approach for spectrum decomposition for Raman spectroscopy

Takayuki Higo; Shuzo Eto; Yuji Ichikawa; Hiromi Kodama; Ippei Asahi

doi:10.1117/12.2533073

19 September 2019 A novel approach for spectrum decomposition for Raman spectroscopy

Takayuki Higo, Shuzo Eto, Yuji Ichikawa, Hiromi Kodama, Ippei Asahi

Proceedings Volume 11169, Artificial Intelligence and Machine Learning in Defense Applications; 111690N (2019) https://doi.org/10.1117/12.2533073
Event: SPIE Security + Defence, 2019, Strasbourg, France

Abstract

As a fundamental study for improving the detection accuracy of Raman spectroscopy under noisy conditions, this paper proposes a novel spectrum decomposition method, where the observed spectrum from an unknown substance is decomposed into some known spectra. Raman spectroscopy can be used for a remote sensing method, where a laser is irradiated to the target and then the Raman scattering light is analyzed to detect the target constituents. The spectrum decomposition is the method to analyze the observed spectrum, that is the Raman scattering light, with some known spectra, which are previously developed as a database. The purpose of the decomposition is to find a linear combination of the known spectra so that the linear combination appropriately represents the observed spectrum. The coefficients of the linear combination show the density of molecules contained in the target. The coefficients can be found with multiple linear regression method. However, the coefficients can contain large errors under low signal-noise-ratio conditions. The proposed method tries to overcome the noise problem by using three techniques. The first technique is to employ the nonnegative least squares method, which is the least squares method with non-negative constraints for the coefficients. The second technique is to select the wavelengths of the observed and known spectra for the spectrum decomposition. The third technique is to select the wavelength of the laser irradiated to the target. This paper conducts numerical experiments to show the effectiveness of the proposed method.

Conference Presentation

Citation Download Citation

Takayuki Higo, Shuzo Eto, Yuji Ichikawa, Hiromi Kodama, and Ippei Asahi "A novel approach for spectrum decomposition for Raman spectroscopy", Proc. SPIE 11169, Artificial Intelligence and Machine Learning in Defense Applications, 111690N (19 September 2019); https://doi.org/10.1117/12.2533073

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available