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least-squares spline approximation algorithm from the curve fitting toolbox  (MathWorks Inc)


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    MathWorks Inc least-squares spline approximation algorithm from the curve fitting toolbox
    Least Squares Spline Approximation Algorithm From The Curve Fitting Toolbox, 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/product/spline+curve-fitting+algorithm/pmc03617674-78-3-13
    Average 90 stars, based on 1 article reviews
    least-squares spline approximation algorithm from the curve fitting toolbox - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    other:

    Article Title: Dual metabotropic glutamate receptor signaling enables coordination of astrocyte and neuron activity in developing sensory domains
    Article Snippet: The calcium trace for each ROI was filtered by regressing the baseline over multiple shifted windows using a spline approximation (‘msbackadj’ function in MATLAB, window and step size - 45 frames).


    Article Title: Dual metabotropic glutamate receptor signaling enables coordination of astrocyte and neuron activity in developing sensory domains
    Article Snippet: The calcium trace was then smoothed and filtered by regressing the baseline over multiple shifted windows using a spline approximation (‘msbackadj’ function in MATLAB, window and step size - 45 frames).

    Article Title: An entropy-based approach for a robust least squares spline approximation
    Article Snippet: Example 4 The last illustrative example aims at comparing the MEWLS spline approximation technique with other well known smoothing ethodologies accessible in Matlab through the Curve fitting and Computer Vision toolboxes.

    Transmission Assay:

    Article Title: Optical fiber aptasensor for label-free bacteria detection in small volumes
    Article Snippet: Highly sensitive devices for fast bacteria detection are sought to be developed with the task of quantifying the worldwide problem of pathogenic bacteria and thus helping to take control over spreading bacterial infections.. This work concerns a sensing solution based on microcavity in-line Mach-Zehnder interferometer (μIMZI) induced in an optical fiber.. Such a device exhibits ultrahigh sensitivity to refractive index changes in the microcavity.



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