Somehow I didn't added the link... But here it is:
1. *Correct the background illumination* (*see this LINK
> 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, 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.
>>
>> --
>> ImageJ mailing list:
http://imagej.nih.gov/ij/list.html>>
>
>
>
> --
>
> Andrei Cătălin ȘTEFAN, MRCVS, DVM, MVSc
>
> E-mail:
[hidden email]
>
>