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2d gaussian function  (MathWorks Inc)


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    MathWorks Inc 2d gaussian function
    An illustration of supplementary methods used for each test object (a) <t>Gaussian</t> 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.
    2d Gaussian 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/2d+gaussian+function/pmc11633796-106-3-9
    Average 90 stars, based on 1 article reviews
    2d gaussian function - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Automated quality control analysis for American College of Radiology (ACR) digital mammography (DM) phantom images"

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

    Journal: Journal of Applied Clinical Medical Physics

    doi: 10.1002/acm2.14548

    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.
    Figure Legend 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.

    Techniques Used:

    Related Articles

    other:

    Article Title: Observation of multi-order polar radial vortices and their topological transition
    Article Snippet: Atomic column positions were quantitatively determined through sub-Å precision 2D Gaussian fitting implemented in MATLAB , enabling systematic mapping of B-site cation displacements.

    Article Title: Unleashing Electrocatalytic Oxygen Evolution Activity: Engineering Spin States in Strained Correlated Oxides for Enhanced Performance.
    Article Snippet: The positions of atom columns in HAADF-STEM images were determined on the basis of the 2D Gaussian fitting, which was carried out by using the MATLAB software.

    Article Title: Cellular and biophysical barriers to lipid nanoparticle mediated delivery of RNA to the cytosol.
    Article Snippet: Nootz, G. Fit 2D gaussian function to data. https://se.mathworks. com/matlabcentral/fileexchange/37087-fit-2d-gaussian-functionto-data (2023).

    Article Title: Cortical circuits for cross-modal generalization.
    Article Snippet: A 2D anisotropic Gaussian function was fitted to the fluorescence distribution by non-linear least squares optimization (using Matlab function “fmincon”).

    Standard Deviation:

    Article Title: Hand position fields of neurons in the premotor cortex of macaques during natural reaching
    Article Snippet: .. Each map was then smoothed by a 2D Gaussian filter (standard deviation: 1.5 bin, Matlab function imgaussfilt ). ..

    Article Title: Hand position fields of neurons in the premotor cortex of macaques during natural reaching.
    Article Snippet: .. Each map was then smoothed by a 2D Gaussian filter (standard deviation: 1.5 bin, Matlab function imgaussfilt). ..



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    Image Search Results


    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: