Posted by
Andrei Stefan on
URL: http://imagej.273.s1.nabble.com/Cell-counting-tp5012266p5012275.html
Dear all,
I am not an expert with ImageJ, but I would like to contribute to the topic.
Before counting the cells, what I would do is:
1. *Correct the background illumination* (see this LINK <
http://correctbackground illumination>, there are ways so you need to see what is
available and suits you).
2. Use *Colour Deconvolution* (*see this LINK
<
http://www.mecourse.com/landinig/software/cdeconv/cdeconv.html>*) or
*Trainable
Weka Segmentation* (*see this LINK
<
https://www.youtube.com/watch?v=8yfBHiGufFE>*) to isolate the cells that
interest you. There are also other means, but see what it works for you.
3. Use ImageJ's built-in tool to count/analyse the cells.
An other advice is to make sure the staining protocols, image acquisition
and image analysis is consistent so there is no room for major errors.
Hope it helps,
Best regards,
Andrei Stefan
2015-03-31 18:48 GMT+01:00 veraelisabeth <
[hidden email]>:
> Hi Jenny,
>
> I'm relatively new to imagej and I see some problems with it, regarding the
> subjectivity of it. But I'd try to separate the color channels (although I
> don't know if thats possible with your sort of image (I use
> immunofluorescence of cell cultures and it's possible)
>
> Then I would download the color pixel counter. Afterwards you could
> calculate all coloured pixels / mean pixels of one cell to get the number
> of
> cells
>
> But as I said. I'm quite new to imagej
>
>
>
> --
> View this message in context:
>
http://imagej.1557.x6.nabble.com/Cell-counting-tp5012266p5012273.html> Sent from the ImageJ mailing list archive at Nabble.com.
>
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--
Andrei Cătălin ȘTEFAN, MRCVS, DVM, MVSc
E-mail:
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