Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 877-882 |
Seitenumfang | 6 |
Fachzeitschrift | Journal of the Optical Society of America A: Optics and Image Science, and Vision |
Jahrgang | 36 |
Ausgabenummer | 5 |
Frühes Online-Datum | 23 Apr. 2019 |
Publikationsstatus | Veröffentlicht - Mai 2019 |
Abstract
Proper understanding of Raman spectroscopic signals from biological samples requires the quantification of internal signal absorption and its effect on the Raman spectra detected outside the samples under study. In this paper, we describe an efficient Monte Carlo method to simulate Raman scattering in biological tissues and solutions and compare the findings with experimental results obtained in samples with different absorber concentrations and optical properties. As an illustrative example, we focus on solutions of beta-carotene (bCar) in ethanol with different concentrations of absorber (ink) added. We find good agreement between simulation and experiment, thus indicating a way to quantify the influence of internal signal absorption in Raman measurements.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Physik und Astronomie (insg.)
- Atom- und Molekularphysik sowie Optik
- Informatik (insg.)
- Maschinelles Sehen und Mustererkennung
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in: Journal of the Optical Society of America A: Optics and Image Science, and Vision, Jahrgang 36, Nr. 5, 05.2019, S. 877-882.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Monte Carlo simulation of the influence of internal optical absorption on the external Raman signal for biological samples
AU - Krasnikov, Ilya
AU - Suhr, Christian
AU - Seteikin, Alexey
AU - Meinhardt-Wollweber, Merve
AU - Roth, Bernhard
N1 - Funding Information: Funding. Ministry of Education and Science of the Russian Federation (Minobrnauka) (3.5022.3017/8.9); Deutsche Forschungsgemeinschaft (DFG) [Cluster of Excellence PhoenixD (EXC 2122)].
PY - 2019/5
Y1 - 2019/5
N2 - Proper understanding of Raman spectroscopic signals from biological samples requires the quantification of internal signal absorption and its effect on the Raman spectra detected outside the samples under study. In this paper, we describe an efficient Monte Carlo method to simulate Raman scattering in biological tissues and solutions and compare the findings with experimental results obtained in samples with different absorber concentrations and optical properties. As an illustrative example, we focus on solutions of beta-carotene (bCar) in ethanol with different concentrations of absorber (ink) added. We find good agreement between simulation and experiment, thus indicating a way to quantify the influence of internal signal absorption in Raman measurements.
AB - Proper understanding of Raman spectroscopic signals from biological samples requires the quantification of internal signal absorption and its effect on the Raman spectra detected outside the samples under study. In this paper, we describe an efficient Monte Carlo method to simulate Raman scattering in biological tissues and solutions and compare the findings with experimental results obtained in samples with different absorber concentrations and optical properties. As an illustrative example, we focus on solutions of beta-carotene (bCar) in ethanol with different concentrations of absorber (ink) added. We find good agreement between simulation and experiment, thus indicating a way to quantify the influence of internal signal absorption in Raman measurements.
KW - Absorption, Physicochemical
KW - Ethanol/chemistry
KW - Monte Carlo Method
KW - Optical Phenomena
KW - Spectrum Analysis, Raman
KW - beta Carotene/chemistry
UR - http://www.scopus.com/inward/record.url?scp=85065430018&partnerID=8YFLogxK
U2 - 10.1364/JOSAA.36.000877
DO - 10.1364/JOSAA.36.000877
M3 - Article
C2 - 31045016
AN - SCOPUS:85065430018
VL - 36
SP - 877
EP - 882
JO - Journal of the Optical Society of America A: Optics and Image Science, and Vision
JF - Journal of the Optical Society of America A: Optics and Image Science, and Vision
SN - 1084-7529
IS - 5
ER -