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matlab 7 12 0  (MathWorks Inc)


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    MathWorks Inc matlab 7 12 0
    Matlab 7 12 0, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2914 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+7+12+0/Image+Processing+Toolbox/pm30453231-146-12-14
    Average 96 stars, based on 2914 article reviews
    matlab 7 12 0 - by Bioz Stars, 2026-10
    96/100 stars

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    FIGURE 5 | Cartoon illustrating the basic steps of the method. (A) A time-lapse cell recording is imported into image-processing software that calculates the mean intensity and x,y-coordinates for each ROI and saves all the values in a tab-delimited text file. Time points are indicated by t1, t2, . . . tn. (B) The file is loaded <t>into</t> <t>MATLAB,</t> which generates a matrix in which the individual cells’ time series are divided into columns and the time points are divided into rows. The ten cells are indicated by roman numerals. The entire network structure is plotted (C) from the correlation matrix (D). Colored lines and matrix elements indicate the strength of correlation between cell pairs. Significant correlations were plotted (E) by applying a cut-off to the correlation matrix (F).
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    matlab version 7 12 0 635 r2011a  (MathWorks Inc)
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    FIGURE 5 | Cartoon illustrating the basic steps of the method. (A) A time-lapse cell recording is imported into image-processing software that calculates the mean intensity and x,y-coordinates for each ROI and saves all the values in a tab-delimited text file. Time points are indicated by t1, t2, . . . tn. (B) The file is loaded <t>into</t> <t>MATLAB,</t> which generates a matrix in which the individual cells’ time series are divided into columns and the time points are divided into rows. The ten cells are indicated by roman numerals. The entire network structure is plotted (C) from the correlation matrix (D). Colored lines and matrix elements indicate the strength of correlation between cell pairs. Significant correlations were plotted (E) by applying a cut-off to the correlation matrix (F).
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    FIGURE 5 | Cartoon illustrating the basic steps of the method. (A) A time-lapse cell recording is imported into image-processing software that calculates the mean intensity and x,y-coordinates for each ROI and saves all the values in a tab-delimited text file. Time points are indicated by t1, t2, . . . tn. (B) The file is loaded into MATLAB, which generates a matrix in which the individual cells’ time series are divided into columns and the time points are divided into rows. The ten cells are indicated by roman numerals. The entire network structure is plotted (C) from the correlation matrix (D). Colored lines and matrix elements indicate the strength of correlation between cell pairs. Significant correlations were plotted (E) by applying a cut-off to the correlation matrix (F).

    Journal: Frontiers in neural circuits

    Article Title: Network analysis of time-lapse microscopy recordings.

    doi: 10.3389/fncir.2014.00111

    Figure Lengend Snippet: FIGURE 5 | Cartoon illustrating the basic steps of the method. (A) A time-lapse cell recording is imported into image-processing software that calculates the mean intensity and x,y-coordinates for each ROI and saves all the values in a tab-delimited text file. Time points are indicated by t1, t2, . . . tn. (B) The file is loaded into MATLAB, which generates a matrix in which the individual cells’ time series are divided into columns and the time points are divided into rows. The ten cells are indicated by roman numerals. The entire network structure is plotted (C) from the correlation matrix (D). Colored lines and matrix elements indicate the strength of correlation between cell pairs. Significant correlations were plotted (E) by applying a cut-off to the correlation matrix (F).

    Article Snippet: MATLAB version 7.12.0 (http://www.mathworks.com), or later, including the Signal Processing toolbox, is required to implement the analytical method we describe here.

    Techniques: Software