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Re: Quantification of red in bright field image

Posted by karo03 on Jul 17, 2013; 2:07pm
URL: http://imagej.273.s1.nabble.com/Quantification-of-red-in-bright-field-image-tp5003997p5004000.html

To measure the "amount" of red it might be good to estimate from the segmented/thresholded region the total extinction, that is the integrated density of the extinction of red image, Extinction = -log(Transmission red / 255). The so called IOD (integrated optical density) represents the amount of absorbing material!

Regards
Karsten

Am 17.07.2013 um 14:57 schrieb Cameron Nowell <[hidden email]>:

> Hi Louise,
>
> It can be done easily enough. I use the Fiji distribution of ImageJ (www.fiji.sc) so i am not sure if the functionality is available in the standard imagej package but the following worked for me
>
> 1. go to Image --> colour --> colour deconvolution
> 2. choose H AEC as te vector and press OK
> 3. you should get three images. Select the red channel one (Colour_2)
> 4. go to image adjust threshold, Make sure dark background is unselected. Adjust the threshold (or the MaxEntropy auto setting seemed to work ok).
> 5. Measure the image (Analyze --> Measure)
>
>
> If you want a macro for doing this let me know
>
>
> Cheers
>
> Cam
>
>
> Cameron J. Nowell
> Research Facilities Manager
>
> Monash Institute of Pharmaceutical Sciences
> Monash University
> 399 Royal Parade
> (Mail address: 381 Royal Parade)
> Parkville, VIC, 3052
> Australia
>
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>
> ________________________________________
> From: ImageJ Interest Group [[hidden email]] on behalf of Louise Grant [[hidden email]]
> Sent: Wednesday, July 17, 2013 8:27 PM
> To: [hidden email]
> Subject: Quantification of red in bright field image
>
> Hello,
>
>
>
> I`d like to quantify the amount of red in this histo slide using ImageJ. I
> am not experience with microscopes and I´m not sure where to start. I
> searched the ImageJ archives but everything seems to be for fluorescent
> images and not brightfield.
>
>
>
> Any help would be great!
>
>
>
> Thanks
>
>
>
> Louise
>
>
>
>
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Karsten
[hidden email]

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