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      EZADEH > My research > How to Quantify Microglia: Analyse Skeleton

    13Feb

    How to Quantify Microglia: Analyse Skeleton

    by Elazadeh,  0 Comments

           Update FIJI: Help>update>ok>apply all changes>ok

           Set scale:

    –      1st option:  by having a scale on an image and knowing “Known distance” as below:

    Drag your image to FIJI> Use the straight tool and draw a line at the same length of the image scale

    Analyse> Set scale> Set options as:

    Known distance= The scale length on the image (for example, write 100 for 100 µm)

    Pixel aspect ratio= Based on the dimension of the image

    *(Pixels are typically square, which results in a pixel aspect ratio of 1:1. But images that are optimised for certain types of displays can also have rectangular pixels with an aspect ratio of 4:3 or similar).

    Unit of length= µm

    Select “Global”

    –       2nd option: The snapshot of the Olympus microscope 40x is 2448 x 1920-pixel resolution (pxR)

    2448 pxR = 422.28 µm

    1920 pxR = 310.20 µm

    Drag your image to FIJI> Analyse> Set scale> Set as below:

    Distance in pixels= 1920.0042

    Known distance=310.20

    Pixel aspect ratio= 1.28

    Unit of length= µm

    Select “Global”

    * After setting the scale, by opening a new image unselect “Disable scale” if the image is in the same dataset and magnification scale.

    Batch processing:

         Create folder “1” on your desktop>open FIJI>Process>batch>macro> define input (your original images) and output (folder 1)> select format TIFF>copy+ paste macro code 1>Process

          File>SaveAs>Results as “area” file: Use this file to know the total area of the image (µm) if the pictures are not of the same size

         Create folder “2” on your desktop>open FIJI>Process>batch>macro> define input (folder 1) and output (folder 2)> select format TIFF>copy+ paste macro code 2>Process

          FIJI>file> Save As summary as “microglia” only for Count (total number of the microglia)

         Create folder “3” on your desktop>open FIJI>Process>batch>macro> define input (folder 1) and output (folder 3)> select format TIFF>copy+ paste macro code 3>Process

    8    File>SaveAs: Branch information and new results files (as branch length)

         Open “microglia” CSV file>SaveAs: Excel workbook: Calculate the number of the microglia from the “Count” column/ total area of the image from (Get the entire area from the “area” file) copy+ paste in the count file.

         Go to the “branch length” file>Select all>Data>Sort>Sort by Maximum Branch Length: from largest to smallest>Ok.

    Go to the “Branch Information” file>Select all>Data>Sort>Sort by Branch Length: from largest to smallest>Ok

         Remove every row with a “maximum branch length” of less than the artifacts (on an average: less than 0.37 µm, which needs to be measured.

         Data can be displayed as “Average branch length” or “Maximum Branch Length”, showing microglia types from ameboid > reactive> ramified microglia (as a gradient) Or

         Measure the length of at least 30 amoeboid, reactive and resting microglia (mean+SD). Use “Maximum Branch Length” > set a graph for each type of microglia.

    Batch processing gives an average amount for each image

    Alternatively, for every single image, each macro can be run from:

    FIJI>Plugins>Macros>Run> each macro code one by one

    • Tags:
    • Iba-1, Introduction to neuroscience, Laboratory techniques, Microglia, Neural cells

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