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matlab function lsqcurvefit  (MathWorks Inc)


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    MathWorks Inc matlab function lsqcurvefit
    Matlab Function Lsqcurvefit, 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/matlab+function+lsqcurvefit/pm40596004-107-57-57
    Average 90 stars, based on 1 article reviews
    matlab function lsqcurvefit - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Nonlinear progression during the occult transition establishes cancer lethality.
    Article Snippet: The MATLAB function ‘lsqcurvefit’was used to find the values r,K and F0 that minimize the least-squared error between the data points and the solution of the logistic equation.

    Article Title: Intermingled representation of oral cavity in mouse trigeminal ganglion
    Article Snippet: This fitting was accomplished using the MATLAB function lsqcurvefit.

    Article Title: Measuring and Modeling Water and Carbon Dioxide Adsorption on Amine Functionalized Alumina under Direct Air Capture Conditions.
    Article Snippet: The isotherm parameters are estimated using the Matlab function lsqcurvefit, which further provides the residuals and the Jacobian that are used to determine the 95% confidence intervals (CI) using the Matlab function nlparci.

    Article Title: Intermingled representation of oral cavity in mouse trigeminal ganglion
    Article Snippet: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$f \left(x, y\right)=A \text{exp}\left(-\left(\frac{{\left(x-{x}_{0}\right)}^{2}}{2{\sigma }_{x}^{2}} + \frac{{\left(y-{y}_{0}\right)}^{2}}{2{\sigma }_{y}^{2}}\right)\right)$$\end{document} This fitting was accomplished using the MATLAB function lsqcurvefit.

    Article Title: Intermingled representation of oral cavity in mouse trigeminal ganglion.
    Article Snippet: Then, the ΔF/F0 of a 61 × 61 pixel area centered on an individual cell was fitted to the following two-dimensional Gaussian function with free parameters of A, x0, y0, σx, σy. and rotation angle φ. f (x, y) = Aexp ( − ( (x−x0)2 2σ2x + (y−y0) 2 2σ2y )) This fitting was accomplished using the MATLAB function lsqcurvefit.

    Article Title: Measuring and Modeling Water and Carbon Dioxide Adsorption on Amine Functionalized Alumina under Direct Air Capture Conditions
    Article Snippet: The isotherm parameters are estimated using the Matlab function lsqcurvefit , which further provides the residuals and the Jacobian that are used to determine the 95% confidence intervals (CI) using the Matlab function nlparci .

    Generated:

    Article Title: In vivo spectroscopy to concurrently characterize five metabolic and vascular endpoints relevant to aggressive breast cancer
    Article Snippet: Thus, after a measured spectrum was corrected for tissue optical properties using the previously described inverse Monte Carlo algorithm, it was input into a MATLAB (Mathworks, Natick, MA, USA) script to generate a coefficient matrix which would minimize the error of Eq. (1) where “ B o d ” is a reference spectrum for Bodipy FL C16 and “ N B D G ” is a reference spectrum for 2-NBDG. .. Reference spectra were generated by measuring the single fluorophore using the same experimental parameters (excitation and emission wavelengths, integration time, and composition of the phantom including concentration of scatterer and absorber). a(1) and a(2) are the coefficients for Bodipy FL C16 and 2-NBDG, respectively, which are solved for using the MATLAB (Mathworks, Natick, MA, USA) function lsqcurvefit. ..

    Concentration Assay:

    Article Title: In vivo spectroscopy to concurrently characterize five metabolic and vascular endpoints relevant to aggressive breast cancer
    Article Snippet: Thus, after a measured spectrum was corrected for tissue optical properties using the previously described inverse Monte Carlo algorithm, it was input into a MATLAB (Mathworks, Natick, MA, USA) script to generate a coefficient matrix which would minimize the error of Eq. (1) where “ B o d ” is a reference spectrum for Bodipy FL C16 and “ N B D G ” is a reference spectrum for 2-NBDG. .. Reference spectra were generated by measuring the single fluorophore using the same experimental parameters (excitation and emission wavelengths, integration time, and composition of the phantom including concentration of scatterer and absorber). a(1) and a(2) are the coefficients for Bodipy FL C16 and 2-NBDG, respectively, which are solved for using the MATLAB (Mathworks, Natick, MA, USA) function lsqcurvefit. ..

    Standard Deviation:

    Article Title: Temporal dynamics of perceived motion flow in naturalistic movie sequences.
    Article Snippet: .. In this approach, the weights for each frame are given by: w(T ) = A exp ( − (t − μ)2 2σ2 ) (3.1) We estimated the three parameters A (amplitude), μ (mean), and σ (standard deviation) by minimizing the squared residuals between the perceived vector components and the estimated vector components by using a MATLAB function lsqcurvefit in Eq. (3.2): E = ‖Y −Xw‖2 (3.2) Where w = [w(1), w(2),... , w(t)]⊤ is now defined by the Gaussian function above. ..

    Plasmid Preparation:

    Article Title: Temporal dynamics of perceived motion flow in naturalistic movie sequences.
    Article Snippet: .. In this approach, the weights for each frame are given by: w(T ) = A exp ( − (t − μ)2 2σ2 ) (3.1) We estimated the three parameters A (amplitude), μ (mean), and σ (standard deviation) by minimizing the squared residuals between the perceived vector components and the estimated vector components by using a MATLAB function lsqcurvefit in Eq. (3.2): E = ‖Y −Xw‖2 (3.2) Where w = [w(1), w(2),... , w(t)]⊤ is now defined by the Gaussian function above. ..



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