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2d gaussian function  (MathWorks Inc)


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    MathWorks Inc 2d gaussian function
    2d Gaussian Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 3205 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/2d+gaussian+function/Optimization+Toolbox/pmc07545142-211-7-10
    Average 96 stars, based on 3205 article reviews
    2d gaussian function - by Bioz Stars, 2026-09
    96/100 stars

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    Related Articles

    other:

    Article Title: Sarcolemmal and mitochondrial membrane potentials measured ex vivo and in vivo in the heart by pharmacokinetic modelling of [ 99m Tc]sestamibi
    Article Snippet: All data were included in the fitting without any weighting factors at different timepoints; however, this could also be included in future iterations of the model. Model performance and fitting errors were evaluated by calculating the coefficient of variance, covariance, correlation matrix and Jacobian returned by lsqcurvefit available in the optimization toolbox of MATLAB (MathWorks Inc.).

    Article Title: Flavor enhancement of Perinereis aibuhitensis Maillard reaction liquids based on the RSM-BP-GA model
    Article Snippet: The genetic algorithm toolbox in MATLAB software was used for optimization ( ).

    Article Title: Characterizing two surface states and their role in the photoinduced oxygen evolution reaction on hematite via photocurrent kinetics.
    Article Snippet: The resulting data were then analyzed using the nonlinear least-squares solver lsqnonlin (Optimization Toolbox, MATLAB R2023b).

    Article Title: Microglia cause HIV-induced transcriptional and metabolic changes in human neural organoids
    Article Snippet: The optimization problem was solved using the solveLP function implemented in the RAVEN toolbox v2.10.1 in MATLAB.

    Control:

    Article Title: Evolutionary digital twin framework for optimal aminoglycoside dosing in neonates with suspected sepsis.
    Article Snippet: .. The mechanistic ODEs specifying the PBPK–PD model were developed using the SimBiology toolbox v23.2, and the therapy control framework was developed using the Optimization toolbox v23.2 in MATLAB® 2023b (Natick, MA, USA). ..

    Combined Bisulfite Restriction Analysis Assay:

    Article Title: De novo synthesis of L-2-aminobutyric acid in Escherichia coli based on multi-layered metabolic engineering strategies
    Article Snippet: .. All computational analyses were performed using the COBRA Toolbox v3.0 in MATLAB R2022a, with Gurobi 12.0 as the optimization solver. ..

    Generated:

    Article Title: Chronic cerebral hypoperfusion exacerbates amyloid and tau pathology by impairing glymphatic transport via AQP4- and VEGF-mediated pathways: insights from a vascular to mixed-type dementia model.
    Article Snippet: .. These parameters were fitted to representative TSCs generated from clustered voxel groups using local input functions using forward Euler integration andweighed non-linear least squares.26 A hybrid optimization scheme combining GlobalSearch and fmincon (MATLAB R2023b, Optimization ToolboxTM) ensured convergence to global minima under non-negativity constraints for all rate constants. ..

    Membrane:

    Article Title: Sarcolemmal and mitochondrial membrane potentials measured <i>ex vivo</i> and <i>in vivo</i> in the heart by pharmacokinetic modelling of [ <sup>99m</sup> Tc]sestamibi
    Article Snippet: .. See the T erm s and C onditions (https://onlinelibrary.w iley.com /term s-and-conditions) on W iley O nline L ibrary for rules of use; O A articles are governed by the applicable C reative C om m ons L icense J Physiol 0.0 Sarcolemmal and mitochondrial membrane potentials 7 by lsqcurvefit available in the optimization toolbox of MATLAB (MathWorks Inc.). ..



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    An illustration of supplementary methods used for each test object (a) Gaussian fit model for masses. (b) Euclidean distances for speck groups. (c) Image binarization for fibers. (d–f) ROIs for each detected test object. Note: Some images have been resized or zoomed for clarity.

    Journal: Journal of Applied Clinical Medical Physics

    Article Title: Automated quality control analysis for American College of Radiology (ACR) digital mammography (DM) phantom images

    doi: 10.1002/acm2.14548

    Figure Lengend Snippet: An illustration of supplementary methods used for each test object (a) Gaussian fit model for masses. (b) Euclidean distances for speck groups. (c) Image binarization for fibers. (d–f) ROIs for each detected test object. Note: Some images have been resized or zoomed for clarity.

    Article Snippet: For masses, the 2D Gaussian function located in the MATLAB file exchange was applied.

    Techniques: