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matlab's 2d correlation coefficient function, corr2  (MathWorks Inc)


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    MathWorks Inc matlab's 2d correlation coefficient function, corr2
    Matlab's 2d Correlation Coefficient Function, Corr2, 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+correlation+coefficient+function%2C+corr2/pmc06383811-366-27-26
    Average 90 stars, based on 1 article reviews
    matlab's 2d correlation coefficient function, corr2 - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Towards efficient structure prediction and pre-compensation in multi-photon lithography
    Article Snippet: To quantify the similarity between those topographies, one can use e.g., the root-mean-square error (rmse) and Matlab’s 2D correlation coefficient [37]: CC = ∑︁ m ∑︁ n(Amn − A)(Bmn − B)√︃(︂∑︁ m ∑︁ n(Amn − A)2 )︂ (︂∑︁ m ∑︁ n(Bmn − B)2 )︂ , (5) with n, m being the indices of the matrices A, B, and A, B representing the matrices’ mean values.

    Article Title: Quantification of the Transmural Dynamics of Atrial Fibrillation by Simultaneous Endocardial and Epicardial Optical Mapping in an Acute Sheep Model
    Article Snippet: An average 2D correlation coefficient from MATLAB is used to compare the DF and RI intensity images from each field of view in a similar manner.

    Article Title: Microtubule end-clustering maintains a steady-state spindle shape
    Article Snippet: Then, a correlation coefficient (r) was calculated for pairs of registered binary images (image A at time t 1 and image B at t ) using MATLAB’s 2D correlation coefficient function, corr2: r = ∑ m ∑ n ( A m n − A ̄ ) ( B m n − B ̄ ) ( ∑ m ∑ n ( A m n − A ̄ ) ) ( ∑ m ∑ n ( B m n − B ̄ ) ) Conceptually, this shape correlation coefficient reports on the degree of spatial overlap between spindle shapes.

    Article Title: Microtubule end-clustering maintains a steady-state spindle shape
    Article Snippet: Then, a correlation coefficient (r) was calculated for pairs of registered binary images (image A at time t 1 and image B at t 2 ) using MATLAB’s 2D correlation coefficient function, corr2: r = ∑ m ∑ n ( A m n − A ̄ ) ( B m n − B ̄ ) ( ∑ m ∑ n ( A m n − A ̄ ) 2 ) ( ∑ m ∑ n ( B m n − B ̄ ) 2 ) Conceptually, this shape correlation coefficient reports on the degree of spatial overlap between spindle shapes.

    Article Title: High-speed imaging using periodic optically modulated detection
    Article Snippet: A 2D correlation coefficient between the truth and MUSIC images was calculated in MATLAB to be 0.9262.

    Marker:

    Article Title: Cell monolayer deformation microscopy reveals mechanical fragility of cell monolayers following EMT.
    Article Snippet: .. The change between two cell traction maps (e.g., before and after a strain pulse) is quantified by the 2D image correlation coefficient for the two marker bead displacement maps (MATLAB corr2 function). ..



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