http://imagej.273.s1.nabble.com/automated-counting-of-triple-labeled-cells-tp5009050p5009083.html
Thanks so much Stoyan! I don't know anything about the image calculator.
> Hi Liz,
> A simple solution is to binarize the three channels - red, green and
> blue, which will produce black and white images of your cells. Using
> analyze particles on the red channels you can count the red cells (1).
> Then using logical AND-ing with the Image calculcator you can create
> new images containing only the Red AND Blue (2), aswell as the Red AND
> Blue AND Green (3) cells. And then again analyze with the Analyze
> particles...
>
> Best wishes
> Stoyan
> ---
> Dr. Stoyan P. Pavlov, MD, PhD
> Departament of Anatomy, Histology and Embryology
> Medical University "Prof. Dr. Paraskev Stoyanov", Varna
> Prof. Marin Drinov Str.55
> 9002 Varna
> Bulgaria
> Tel: +359 (0) 52 - 677 - 052
> e-mail:
[hidden email]
>
[hidden email]
>
>
> 2014-08-07 17:45 GMT+03:00 BioVoxxel <
[hidden email]>:
> > 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.html> >
> > Instructions 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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http://imagej.nih.gov/ij/list.html> >>
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> >
> >
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