Posted by
gankaku on
Aug 07, 2014; 2:45pm
URL: http://imagej.273.s1.nabble.com/automated-counting-of-triple-labeled-cells-tp5009050p5009058.html
Hi Liz,
If you can extract the labled cells as e.g. whiht particles on black
background in a binary image, you can use the "Binary Feature Extractor"
(see:
http://fiji.sc/BioVoxxel_Toolbox#Binary_Feature_Extractor).
You can either get this as part of the BioVoxxel Toolbox or if you want to
stick to ImageJ as a package to download from here:
http://www.biovoxxel.de/macros.htmlInstructions are given on the respective site.
This tool only always compares 2 images with each other but you can do your
analysis easily in separate steps and thereby get an idea of all possible
combination of double positive stainings as well as even triple positive
ones. The latter can be achieved if you run the analysis with one of your
original images and one output image from a previous analysis using the
very same tool.
Let me know if you need further help.
regards,
Jan
2014-08-06 22:21 GMT+02:00 Liz Bless <
[hidden email]>:
> Hi -
>
> I have IHC images that contain 3 labels. I would like imageJ to be able to
> automatically count 1) the number of red cells in the image, 2) the number
> of red cells that are also blue, 3) the number of red cells that are also
> blue and green.
>
> I know how to count single labeled cells but could anyone direct me to a
> plugin for counting double and triple labelled cells or advise me on how to
> go about this?
>
> Thank you!
> Liz
>
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