Please use this identifier to cite or link to this item: https://oar.tib.eu/jspui/handle/123456789/4732
Title: Comparison of hyperspectral coherent Raman scattering microscopies for biomedical applications
Authors: Bocklitz, Thomas W.Meyer, TobiasSchmitt, MichaelRimke, IngoHoffmann, Franziskavon Eggeling, FerdinandErnst, G.Guntinas-Lichius, OrlandoPopp, Jürgen
Publishers Version: https://doi.org/10.1063/1.5030159
Issue Date: 2018
Published in: APL Photonics 3 (2018)
Publisher: College Park : American Institute of Physics
Abstract: Raman scattering based imaging represents a very powerful optical tool for biomedical diagnostics. Different Raman signatures obtained by distinct tissue structures and disease induced changes provoke sophisticated analysis of the hyperspectral Raman datasets. While the analysis of linear Raman spectroscopic tissue data is quite established, the evaluation of hyperspectral nonlinear Raman data has not yet been evaluated in great detail. The two most common nonlinear Raman methods are CARS (coherent anti-Stokes Raman scattering) and SRS (stimulated Raman scattering) spectroscopy. Specifically the linear concentration dependence of SRS as compared to the quadratic dependence of CARS has fostered the application of SRS tissue imaging. Here, we applied spectral processing to hyperspectral SRS and CARS data for tissue characterization. We could demonstrate for the first time that similar cluster distributions can be obtained for multispectral CARS and SRS data but that clustering is based on different spectral features due to interference effects in CARS and the different concentration dependence of CARS and SRS. It is shown that a direct combination of CARS and SRS data does not improve the clustering results.
Keywords: Raman scattering; biomedicine; Raman methods
DDC: 620
License: CC BY 4.0 Unported
Link to License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:Ingenieurwissenschaften



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