TY - JOUR
T1 - Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
AU - Cadena, Alejandro De la
AU - Vernuccio, Federico
AU - Talone, Benedetta
AU - Bresci, Arianna
AU - Ceconello, Chiara
AU - Das, Subir
AU - Vanna, Renzo
AU - Cerullo, Giulio
AU - Polli, Dario
N1 - KAUST Repository Item: Exported on 2022-09-14
Acknowledged KAUST grant number(s): OSR-2016-CRG5-3017-01
Acknowledgements: D. P. acknowledges funding from the European Union project CRIMSON under Grant Agreement No. 101016923 and the Regione Lombardia project NEWMED under Grant Agreement No. POR FESR 2014-2020. G. C. acknowledges funding from the European Union project GRAPHENE Core3 under grant agreement number 881603. G. C. also acknowledges funding from King Abdullah University of Science and Technology, Grant Award Number: OSR-2016-CRG5-3017-01.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2022/7/25
Y1 - 2022/7/25
N2 - Stimulated Raman scattering (SRS) microscopy is a nonlinear optical technique for label-free chemical imaging. This analytical tool delivers chemical maps at high speed, and high spatial resolution of thin samples by directly interrogating their molecular vibrations. In its standard implementation, SRS microscopy is narrowband and forms images with only a single vibrational frequency at a time. However, this approach not only hinders the chemical specificity of SRS but also neglects the wealth of information encoded within vibrational spectra. These limitations can be overcome by broadband SRS, an implementation capable of extracting a vibrational spectrum per pixel of the image in parallel. This delivers hyperspectral data that, when coupled with chemometric analysis, maximizes the amount of information retrieved from the specimen. Thus, broadband SRS improves the chemical specificity of the system, allowing the quantitative determination of the concentration of the different constituents of a sample. Here, we report a protocol for chemical imaging with broadband SRS microscopy, based on a home-built SRS microscope operating with a custom differential multichannel-lock-in amplifier detection. It discusses the sample preparation, alignment of the SRS apparatus, and chemometric analysis. By acquiring vibrational Raman spectra, the protocol illustrates how to identify different chemical species within a mixture, determining their relative concentrations.
AB - Stimulated Raman scattering (SRS) microscopy is a nonlinear optical technique for label-free chemical imaging. This analytical tool delivers chemical maps at high speed, and high spatial resolution of thin samples by directly interrogating their molecular vibrations. In its standard implementation, SRS microscopy is narrowband and forms images with only a single vibrational frequency at a time. However, this approach not only hinders the chemical specificity of SRS but also neglects the wealth of information encoded within vibrational spectra. These limitations can be overcome by broadband SRS, an implementation capable of extracting a vibrational spectrum per pixel of the image in parallel. This delivers hyperspectral data that, when coupled with chemometric analysis, maximizes the amount of information retrieved from the specimen. Thus, broadband SRS improves the chemical specificity of the system, allowing the quantitative determination of the concentration of the different constituents of a sample. Here, we report a protocol for chemical imaging with broadband SRS microscopy, based on a home-built SRS microscope operating with a custom differential multichannel-lock-in amplifier detection. It discusses the sample preparation, alignment of the SRS apparatus, and chemometric analysis. By acquiring vibrational Raman spectra, the protocol illustrates how to identify different chemical species within a mixture, determining their relative concentrations.
UR - http://hdl.handle.net/10754/680170
UR - https://www.jove.com/t/63709/multiplex-chemical-imaging-based-on-broadband-stimulated-raman
UR - http://www.scopus.com/inward/record.url?scp=85135165371&partnerID=8YFLogxK
U2 - 10.3791/63709
DO - 10.3791/63709
M3 - Article
C2 - 35938835
SN - 1940-087X
VL - 2022
JO - Journal of Visualized Experiments
JF - Journal of Visualized Experiments
IS - 185
ER -