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kernel smoothing in matlab: theory and practice of kernel smoothing  (MathWorks Inc)


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    MathWorks Inc kernel smoothing in matlab: theory and practice of kernel smoothing
    Kernel Smoothing In Matlab: Theory And Practice Of Kernel Smoothing, 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/result/kernel smoothing in matlab: theory and practice of kernel smoothing/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    kernel smoothing in matlab: theory and practice of kernel smoothing - by Bioz Stars, 2026-04
    90/100 stars

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    Parameter extraction using the Matlab “CellTracker” script (A) Template of the Excel file for Matlab. (B) From the Matlab environment, navigate to the folder containing the CellTracker scripts. Type “CellTracker” in the Matlab Command Window. (C) In the CellTracker GUI, navigate to the file to analyze (yellow box) and set the Cycle Time, in this case 5 s (red box). Do not use the crossed-out options; these are deprecated options to produce graphs, which are no longer working. We customarily produce graphs of the desired parameters using Prism (GraphPad). See also <xref ref-type=Tables 2 and . " width="100%" height="100%">

    Journal: STAR Protocols

    Article Title: Protocol to quantify the activation dynamics of tumor-associated T cells in mice by functional intravital microscopy

    doi: 10.1016/j.xpro.2024.103310

    Figure Lengend Snippet: Parameter extraction using the Matlab “CellTracker” script (A) Template of the Excel file for Matlab. (B) From the Matlab environment, navigate to the folder containing the CellTracker scripts. Type “CellTracker” in the Matlab Command Window. (C) In the CellTracker GUI, navigate to the file to analyze (yellow box) and set the Cycle Time, in this case 5 s (red box). Do not use the crossed-out options; these are deprecated options to produce graphs, which are no longer working. We customarily produce graphs of the desired parameters using Prism (GraphPad). See also Tables 2 and .

    Article Snippet: Practice dataset containing unprocessed and processed Imaris files and the MATLAB analyses , This paper , Mendeley Data: https://doi.org/10.17632/t7tr42ztt5.2.

    Techniques: Extraction

    List of parameters calculated in the  Matlab  output file “Summary”

    Journal: STAR Protocols

    Article Title: Protocol to quantify the activation dynamics of tumor-associated T cells in mice by functional intravital microscopy

    doi: 10.1016/j.xpro.2024.103310

    Figure Lengend Snippet: List of parameters calculated in the Matlab output file “Summary”

    Article Snippet: Practice dataset containing unprocessed and processed Imaris files and the MATLAB analyses , This paper , Mendeley Data: https://doi.org/10.17632/t7tr42ztt5.2.

    Techniques: Fluorescence

    List of parameters calculated in the  Matlab  output file “Analysis”

    Journal: STAR Protocols

    Article Title: Protocol to quantify the activation dynamics of tumor-associated T cells in mice by functional intravital microscopy

    doi: 10.1016/j.xpro.2024.103310

    Figure Lengend Snippet: List of parameters calculated in the Matlab output file “Analysis”

    Article Snippet: Practice dataset containing unprocessed and processed Imaris files and the MATLAB analyses , This paper , Mendeley Data: https://doi.org/10.17632/t7tr42ztt5.2.

    Techniques: IF-cells, Fluorescence

    Journal: STAR Protocols

    Article Title: Protocol to quantify the activation dynamics of tumor-associated T cells in mice by functional intravital microscopy

    doi: 10.1016/j.xpro.2024.103310

    Figure Lengend Snippet:

    Article Snippet: Practice dataset containing unprocessed and processed Imaris files and the MATLAB analyses , This paper , Mendeley Data: https://doi.org/10.17632/t7tr42ztt5.2.

    Techniques: Recombinant, Software, Electron Microscopy, Cream, Microscopy