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msbackadj correction algorithm  (MathWorks Inc)


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    MathWorks Inc msbackadj correction algorithm
    Preprocessed Raman spectra from fresh brain tissue samples covering the fingerprint region. Six different methods were used for smoothing and baseline correction: Polynomial, Vancouver, <t>msbackadj,</t> Rollingball, second derivative, and a neural network trained on synthetic data. Spectral features of a cluster with the influence of A) proteins and lipids (T in cluster analysis), B) proteins and lipids, but at different peak intensities (T* in cluster analysis), and C) carotenoid signature (C in cluster analysis). SG: Savitzky-Golay.
    Msbackadj Correction Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/msbackadj correction algorithm/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    msbackadj correction algorithm - by Bioz Stars, 2026-04
    90/100 stars

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    1) Product Images from "Impact of preprocessing methods on the Raman spectra of brain tissue"

    Article Title: Impact of preprocessing methods on the Raman spectra of brain tissue

    Journal: Biomedical Optics Express

    doi: 10.1364/BOE.476507

    Preprocessed Raman spectra from fresh brain tissue samples covering the fingerprint region. Six different methods were used for smoothing and baseline correction: Polynomial, Vancouver, msbackadj, Rollingball, second derivative, and a neural network trained on synthetic data. Spectral features of a cluster with the influence of A) proteins and lipids (T in cluster analysis), B) proteins and lipids, but at different peak intensities (T* in cluster analysis), and C) carotenoid signature (C in cluster analysis). SG: Savitzky-Golay.
    Figure Legend Snippet: Preprocessed Raman spectra from fresh brain tissue samples covering the fingerprint region. Six different methods were used for smoothing and baseline correction: Polynomial, Vancouver, msbackadj, Rollingball, second derivative, and a neural network trained on synthetic data. Spectral features of a cluster with the influence of A) proteins and lipids (T in cluster analysis), B) proteins and lipids, but at different peak intensities (T* in cluster analysis), and C) carotenoid signature (C in cluster analysis). SG: Savitzky-Golay.

    Techniques Used:

    Preprocessed Raman spectra from fresh brain tissue covering the high wavenumber region. Six different methods were used for smoothing and baseline correction: Polynomial, Vancouver, msbackadj, Rollingball, second derivative, and a neural network trained on synthetic data. Spectral features of a cluster with the influence of A) proteins and lipids (T in cluster analysis), B) proteins, lipids, and water (WB in cluster analysis), and C) PpIX-fluorescence peak from metabolized 5-ALA (P in cluster analysis). SG: Savitzky-Golay.
    Figure Legend Snippet: Preprocessed Raman spectra from fresh brain tissue covering the high wavenumber region. Six different methods were used for smoothing and baseline correction: Polynomial, Vancouver, msbackadj, Rollingball, second derivative, and a neural network trained on synthetic data. Spectral features of a cluster with the influence of A) proteins and lipids (T in cluster analysis), B) proteins, lipids, and water (WB in cluster analysis), and C) PpIX-fluorescence peak from metabolized 5-ALA (P in cluster analysis). SG: Savitzky-Golay.

    Techniques Used: Fluorescence



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    msbackadj correction algorithm  (MathWorks Inc)
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    MathWorks Inc msbackadj correction algorithm
    Preprocessed Raman spectra from fresh brain tissue samples covering the fingerprint region. Six different methods were used for smoothing and baseline correction: Polynomial, Vancouver, <t>msbackadj,</t> Rollingball, second derivative, and a neural network trained on synthetic data. Spectral features of a cluster with the influence of A) proteins and lipids (T in cluster analysis), B) proteins and lipids, but at different peak intensities (T* in cluster analysis), and C) carotenoid signature (C in cluster analysis). SG: Savitzky-Golay.
    Msbackadj Correction Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/msbackadj correction algorithm/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    msbackadj correction algorithm - by Bioz Stars, 2026-04
    90/100 stars
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    baseline correction algorithm msbackadj  (MathWorks Inc)
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    MathWorks Inc baseline correction algorithm msbackadj
    Preprocessed Raman spectra from fresh brain tissue samples covering the fingerprint region. Six different methods were used for smoothing and baseline correction: Polynomial, Vancouver, <t>msbackadj,</t> Rollingball, second derivative, and a neural network trained on synthetic data. Spectral features of a cluster with the influence of A) proteins and lipids (T in cluster analysis), B) proteins and lipids, but at different peak intensities (T* in cluster analysis), and C) carotenoid signature (C in cluster analysis). SG: Savitzky-Golay.
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    Image Search Results


    Preprocessed Raman spectra from fresh brain tissue samples covering the fingerprint region. Six different methods were used for smoothing and baseline correction: Polynomial, Vancouver, msbackadj, Rollingball, second derivative, and a neural network trained on synthetic data. Spectral features of a cluster with the influence of A) proteins and lipids (T in cluster analysis), B) proteins and lipids, but at different peak intensities (T* in cluster analysis), and C) carotenoid signature (C in cluster analysis). SG: Savitzky-Golay.

    Journal: Biomedical Optics Express

    Article Title: Impact of preprocessing methods on the Raman spectra of brain tissue

    doi: 10.1364/BOE.476507

    Figure Lengend Snippet: Preprocessed Raman spectra from fresh brain tissue samples covering the fingerprint region. Six different methods were used for smoothing and baseline correction: Polynomial, Vancouver, msbackadj, Rollingball, second derivative, and a neural network trained on synthetic data. Spectral features of a cluster with the influence of A) proteins and lipids (T in cluster analysis), B) proteins and lipids, but at different peak intensities (T* in cluster analysis), and C) carotenoid signature (C in cluster analysis). SG: Savitzky-Golay.

    Article Snippet: Matlab’s msbackadj correction algorithm (iv, Bioinformatics Toolbox, Matlab R2021a, Mathworks) was chosen as representative of a commercial software.

    Techniques:

    Preprocessed Raman spectra from fresh brain tissue covering the high wavenumber region. Six different methods were used for smoothing and baseline correction: Polynomial, Vancouver, msbackadj, Rollingball, second derivative, and a neural network trained on synthetic data. Spectral features of a cluster with the influence of A) proteins and lipids (T in cluster analysis), B) proteins, lipids, and water (WB in cluster analysis), and C) PpIX-fluorescence peak from metabolized 5-ALA (P in cluster analysis). SG: Savitzky-Golay.

    Journal: Biomedical Optics Express

    Article Title: Impact of preprocessing methods on the Raman spectra of brain tissue

    doi: 10.1364/BOE.476507

    Figure Lengend Snippet: Preprocessed Raman spectra from fresh brain tissue covering the high wavenumber region. Six different methods were used for smoothing and baseline correction: Polynomial, Vancouver, msbackadj, Rollingball, second derivative, and a neural network trained on synthetic data. Spectral features of a cluster with the influence of A) proteins and lipids (T in cluster analysis), B) proteins, lipids, and water (WB in cluster analysis), and C) PpIX-fluorescence peak from metabolized 5-ALA (P in cluster analysis). SG: Savitzky-Golay.

    Article Snippet: Matlab’s msbackadj correction algorithm (iv, Bioinformatics Toolbox, Matlab R2021a, Mathworks) was chosen as representative of a commercial software.

    Techniques: Fluorescence