Re: automated counting of triple labeled cells

Posted by Stoyan Pavlov on Aug 08, 2014; 3:03pm
URL: http://imagej.273.s1.nabble.com/automated-counting-of-triple-labeled-cells-tp5009050p5009072.html

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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>>
>
>
>
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