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hyperspectral toolbox  (MathWorks Inc)


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    MathWorks Inc hyperspectral toolbox
    Hyperspectral Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2960 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/hyperspectral+imaging+toolbox/Image+Processing+Toolbox/10__1029_slash_2024je008645-185-54-56
    Average 96 stars, based on 2960 article reviews
    hyperspectral toolbox - by Bioz Stars, 2026-11
    96/100 stars

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    Article Title: Imaging Orientation of a Single Molecular Hierarchical Self-Assembled Sheet: The Combined Power of a Vibrational Sum Frequency Generation Microscopy and Neural Network
    Article Snippet: .. To further disentangle spectral features of the VSFG image, spectral maps were generated using the MatLab hyperspectral imaging toolbox. ..

    Imaging:

    Article Title: Imaging Orientation of a Single Molecular Hierarchical Self-Assembled Sheet: The Combined Power of a Vibrational Sum Frequency Generation Microscopy and Neural Network
    Article Snippet: .. To further disentangle spectral features of the VSFG image, spectral maps were generated using the MatLab hyperspectral imaging toolbox. ..

    Article Title: Imaging Orientation of a Single Molecular Hierarchical Self-Assembled Sheet: The Combined Power of a Vibrational Sum Frequency Generation Microscopy and Neural Network
    Article Snippet: .. Euler rotation and spectra fitting equations, XRD data, neural network details, spectra analysis with MATLAB hyperspectral imaging toolbox, and fitting results ( PDF ) ..



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    VSFG <t>hyperspectral</t> image and spectral analysis of the SDS@2β-CD. (a) Polarization resolved hyperspectral VSFG image of SDS@2β-CD. Blue and magenta colors represent areas where different spectra reside, and the corresponding spectra are plotted in (b) which are representative spectra for single pixels with signal-to-noise ratio for blue and magenta spectra of ∼56 and ∼26 respectively. The sheets in the red and blue boxes are analyzed explicitly below to extract the supramolecule tilt angles. (c) Optical image of the same area as that in (a). (d) VSFG hyperspectral image overlaid with optical image of identical area. (e) From left to right: PPS, PPP, SSP, SSS polarization resolved spectra summed over 180 and 480 pixels within the two single sheets highlighted in red rectangular boxes in (a). All spectra had a dominant feature centered at approximately 2910 cm –1 and a signal-to-noise ratio in the order of 1000. The spectra were fitted with multiple Voigt functions, which were represented by the shaded areas, and used for further orientation analysis.
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    VSFG hyperspectral image and spectral analysis of the SDS@2β-CD. (a) Polarization resolved hyperspectral VSFG image of SDS@2β-CD. Blue and magenta colors represent areas where different spectra reside, and the corresponding spectra are plotted in (b) which are representative spectra for single pixels with signal-to-noise ratio for blue and magenta spectra of ∼56 and ∼26 respectively. The sheets in the red and blue boxes are analyzed explicitly below to extract the supramolecule tilt angles. (c) Optical image of the same area as that in (a). (d) VSFG hyperspectral image overlaid with optical image of identical area. (e) From left to right: PPS, PPP, SSP, SSS polarization resolved spectra summed over 180 and 480 pixels within the two single sheets highlighted in red rectangular boxes in (a). All spectra had a dominant feature centered at approximately 2910 cm –1 and a signal-to-noise ratio in the order of 1000. The spectra were fitted with multiple Voigt functions, which were represented by the shaded areas, and used for further orientation analysis.

    Journal: The Journal of Physical Chemistry. B

    Article Title: Imaging Orientation of a Single Molecular Hierarchical Self-Assembled Sheet: The Combined Power of a Vibrational Sum Frequency Generation Microscopy and Neural Network

    doi: 10.1021/acs.jpcb.2c05876

    Figure Lengend Snippet: VSFG hyperspectral image and spectral analysis of the SDS@2β-CD. (a) Polarization resolved hyperspectral VSFG image of SDS@2β-CD. Blue and magenta colors represent areas where different spectra reside, and the corresponding spectra are plotted in (b) which are representative spectra for single pixels with signal-to-noise ratio for blue and magenta spectra of ∼56 and ∼26 respectively. The sheets in the red and blue boxes are analyzed explicitly below to extract the supramolecule tilt angles. (c) Optical image of the same area as that in (a). (d) VSFG hyperspectral image overlaid with optical image of identical area. (e) From left to right: PPS, PPP, SSP, SSS polarization resolved spectra summed over 180 and 480 pixels within the two single sheets highlighted in red rectangular boxes in (a). All spectra had a dominant feature centered at approximately 2910 cm –1 and a signal-to-noise ratio in the order of 1000. The spectra were fitted with multiple Voigt functions, which were represented by the shaded areas, and used for further orientation analysis.

    Article Snippet: Euler rotation and spectra fitting equations, XRD data, neural network details, spectra analysis with MATLAB hyperspectral imaging toolbox, and fitting results ( PDF )

    Techniques: