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28 June 2016 Mapping biological tissues with hyperspectral coherent Raman scattering microscopy (Conference Presentation)
Eric O. Potma, Alba Alfonso Garcia
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Proceedings Volume 9720, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management; 97200F (2016) https://doi.org/10.1117/12.2213565
Event: SPIE BiOS, 2016, San Francisco, California, United States
Abstract
We discuss the implementation of wavelength-swept coherent Raman scattering (CRS) microscopy for the rapid acquisition of hyperspectral datacubes. We highlight two multivariate analysis approaches for efficiently generating spectroscopic maps from the acquired data: principal component analysis (PCA), which is a popular method for extracting information from multidimensional datasets, and vertex component analysis (VCA), which has previously been successfully used for the analysis of spontaneous Raman microscopy data. Through several biomedical imaging examples, we discuss the advantages and disadvantages of these approaches for CRS microscopy.
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Eric O. Potma and Alba Alfonso Garcia "Mapping biological tissues with hyperspectral coherent Raman scattering microscopy (Conference Presentation)", Proc. SPIE 9720, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, 97200F (28 June 2016); https://doi.org/10.1117/12.2213565
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KEYWORDS
Microscopy
Raman scattering
Chromium
Data acquisition
Principal component analysis
Raman spectroscopy
Tissues
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