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least-square curve fitting algorithm matlab lsqcurvefit function  (MathWorks Inc)


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    MathWorks Inc least-square curve fitting algorithm matlab lsqcurvefit function
    Least Square Curve Fitting Algorithm Matlab Lsqcurvefit Function, 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/least-square+algorithm+matlab/pmc12254000-78-6-9
    Average 90 stars, based on 1 article reviews
    least-square curve fitting algorithm matlab lsqcurvefit function - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Measuring the Acoustic Reflex through the Tympanic Membrane
    Article Snippet: The results of the curve-fitting algorithm (Matlab) are summarized in , showing a true oscillation frequency f 1 ′ = 937.6 Hz, and a damping coefficient of γ 1 = 192.1 s −1 which is equivalent to approximately 5.2 ms response time.

    Article Title: Laminar multi-contrast fMRI at 7T allows differentiation of neuronal excitation and inhibition underlying positive and negative BOLD responses
    Article Snippet: To address this issue, a least-square curve fitting algorithm (MATLAB lsqcurvefit function) was employed to fit M, β as well as baseline CBF, VASO and BOLD simultaneously from all time points including all rest and BH scans (5 unknowns and 54 time points).

    Article Title: Reducing the time delay of oxygen transport to the neonate on continuous positive airway pressure support: A bench study
    Article Snippet: The values of the time constant τ and the parameters a and b were found using the curve fitting algorithm (Curve Fitting Toolbox, Matlab, MathWorks, Natick, USA) to provide the best approximation of mFiO 2 in the sense of the least square's method.

    Article Title: Mechanistic Modelling of Biomass Growth, Glucose Consumption and Ethanol Production by Kluyveromyces marxianus in Batch Fermentation
    Article Snippet: The parameter values of the system were estimated through a nonlinear curve-fitting algorithm in Matlab with the experimental data of each batch culture fermentation described in .

    Article Title: Measuring the acoustic reflex through the tympanic membrane.
    Article Snippet: The results of the curve-fitting algorithm (Matlab) are summarized in table 1, showing a true oscillation frequency f1’ = 937.6 Hz, and a damping coefficient of 1 = 192.1 s-1 which is equivalent to approximately 5.2 ms response time.

    Article Title: Real-time testing and thermal characterization of a cost-effective magneto-rheological (MR) damper for four-wheeler application
    Article Snippet: Recent studies show that the Magento-Rheological (MR) dampers can serve as a suitable replacement for passive dampers on ground vehicles.. MR dampers are factory fitted in premium luxury vehicles.. However, the high price of these MR dampers has restricted their use to premium vehicles only.

    Article Title: Head growth in patients with myelomeningocele treated with prenatal and postnatal surgery
    Article Snippet: MyeloMeningocele (MMC) is associated with hydrocephalus in as many as 40%–92% of patients, which can be associated with significant morbidity.1–3 The pathophysiology of this complication is not well understood but is believed to be multifactorial and, in part, related to anatomical changes of Chiari malformation type II.. The constellation of developmental brain abnormalities seen in patients with MMC is thought to contribute to the pathogenesis of hydrocephalus.. Compression of the aqueduct of Sylvius and outlet foramina of the fourth ventricle secondary to posterior fossa hypoplasia and caudal displacement of the brainstem may play a role.4–6 Impaired

    Article Title: Mechanistic Modelling of Biomass Growth, Glucose Consumption and Ethanol Production by Kluyveromyces marxianus in Batch Fermentation.
    Article Snippet: The parameter values of the system were estimated through a nonlinear curve-fitting algorithm in Matlab with the experimental data of each batch culture fermentation described in Section 2.



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    MathWorks Inc nonnegative linear least-squares spectral unmixing algorithm matlab isqnonneg
    SRS spectra of cholesterol crystal, saturated CE, unsaturated CE, and TAG in the C–H region (a) and fingerprint region (b). Shaded lines: main spectral differences between saturated CE (green) and unsaturated CE (blue). (c) Ternary plot of the calculated fractions of three-component mixtures using SRS imaging and the spectral <t>unmixing</t> algorithm. Black circles: lipid standard mixture fractions. Red dots: calculated lipid fractions.
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    SRS spectra of cholesterol crystal, saturated CE, unsaturated CE, and TAG in the C–H region (a) and fingerprint region (b). Shaded lines: main spectral differences between saturated CE (green) and unsaturated CE (blue). (c) Ternary plot of the calculated fractions of three-component mixtures using SRS imaging and the spectral <t>unmixing</t> algorithm. Black circles: lipid standard mixture fractions. Red dots: calculated lipid fractions.
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    Image Search Results


    SRS spectra of cholesterol crystal, saturated CE, unsaturated CE, and TAG in the C–H region (a) and fingerprint region (b). Shaded lines: main spectral differences between saturated CE (green) and unsaturated CE (blue). (c) Ternary plot of the calculated fractions of three-component mixtures using SRS imaging and the spectral unmixing algorithm. Black circles: lipid standard mixture fractions. Red dots: calculated lipid fractions.

    Journal: Journal of Biomedical Optics

    Article Title: Discrimination of lipid composition and cellular localization in human liver tissues by stimulated Raman scattering microscopy

    doi: 10.1117/1.JBO.29.1.016008

    Figure Lengend Snippet: SRS spectra of cholesterol crystal, saturated CE, unsaturated CE, and TAG in the C–H region (a) and fingerprint region (b). Shaded lines: main spectral differences between saturated CE (green) and unsaturated CE (blue). (c) Ternary plot of the calculated fractions of three-component mixtures using SRS imaging and the spectral unmixing algorithm. Black circles: lipid standard mixture fractions. Red dots: calculated lipid fractions.

    Article Snippet: A nonnegative linear least-squares spectral unmixing algorithm (MATLAB Isqnonneg) was applied to both the C–H and the fingerprint region spectra for spectral unmixing of each pixel in lipid droplets.

    Techniques: Imaging

    Schematic diagram of the image analysis pipeline and representative SRS images and lipid composition maps of a liver tissue section from a patient with NASH. From the SRS images at 2850 (a) and 2930 cm − 1 (b), we use the R 2850 / 2930 ratiometric image to create a binary lipid map (c). We then perform the linear least-squares spectral unmixing analysis on both C–H and fingerprint region hyperspectral SRS images of lipid molecules (d) and (e) to generate mole percentage maps of free cholesterol, saturated CE, unsaturated CE, and TAG (f)–(i). The percentage maps of free cholesterol and saturated CE are also shown with a scale extending only from 0% to 10% (for cholesterol) and 0% to 40% (for saturated CE) rather than for 0% to 100% to make more apparent the distribution of these lipids that are present in much lower relative percentages than unsaturated CEs and TAGs. Scale bar: 50 μ m .

    Journal: Journal of Biomedical Optics

    Article Title: Discrimination of lipid composition and cellular localization in human liver tissues by stimulated Raman scattering microscopy

    doi: 10.1117/1.JBO.29.1.016008

    Figure Lengend Snippet: Schematic diagram of the image analysis pipeline and representative SRS images and lipid composition maps of a liver tissue section from a patient with NASH. From the SRS images at 2850 (a) and 2930 cm − 1 (b), we use the R 2850 / 2930 ratiometric image to create a binary lipid map (c). We then perform the linear least-squares spectral unmixing analysis on both C–H and fingerprint region hyperspectral SRS images of lipid molecules (d) and (e) to generate mole percentage maps of free cholesterol, saturated CE, unsaturated CE, and TAG (f)–(i). The percentage maps of free cholesterol and saturated CE are also shown with a scale extending only from 0% to 10% (for cholesterol) and 0% to 40% (for saturated CE) rather than for 0% to 100% to make more apparent the distribution of these lipids that are present in much lower relative percentages than unsaturated CEs and TAGs. Scale bar: 50 μ m .

    Article Snippet: A nonnegative linear least-squares spectral unmixing algorithm (MATLAB Isqnonneg) was applied to both the C–H and the fingerprint region spectra for spectral unmixing of each pixel in lipid droplets.

    Techniques: