Low resolution Raman: the impact of spectral resolution on limit of detection and imaging speed in hyperspectral imaging
Author:
Affiliation:
1. Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes
2. Department of Precision Machinery and Precision Instrumentation
3. University of Science and Technology of China
4. Hefei
5. China
Abstract
Low-resolution Raman provides a simple approach to improve the SNR of hyperspectral images, particularly for consumer grade, noisy detectors.
Funder
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2020/AN/D0AN01390K
Reference31 articles.
1. Single-shot stand-off chemical identification of powders using random Raman lasing
2. A fast and novel internal calibration method for quantitative Raman measurements on aqueous solutions
3. Label-free Raman observation of cytochrome c dynamics during apoptosis
4. Development of deep subsurface Raman spectroscopy for medical diagnosis and disease monitoring
5. Rapid acquisition of mean Raman spectra of eukaryotic cells for a robust single cell classification
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