
Speeding up Raman spectral imaging by the three-dimensional low rank estimation method
Author(s) -
Qifeng Li,
Xiangyun Ma,
Huijie Wang,
Xinwei Zheng,
Da Chen
Publication year - 2018
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.26.000525
Subject(s) - raman spectroscopy , spectral imaging , optics , noise (video) , signal to noise ratio (imaging) , signal (programming language) , computer science , spectral density estimation , raman scattering , materials science , artificial intelligence , physics , image (mathematics) , fourier transform , quantum mechanics , programming language
Raman spectral imaging has been widely used as a very important analytical tool in various fields. For obtaining the high spectral signal-to-noise ratio Raman images, the long integration time is necessary, which is placing a limit on the application of Raman spectral imaging. We introduce a simple and feasible numerical method of the Three-dimensional Low Rank Estimation (3D-LRE), which can speed up the data acquisition process of the Raman spectral imaging. The spectral signal-to-noise ratio of the Raman images can be increased by over 75 times and the speed of the data acquisition can be improved by over 30 times. By combining with line-scan or multifocus-scan techniques, the Raman images can be obtained in a few seconds.