1️⃣Automatic General Tissue Detection
This will lead to one uniform immunopositivity rate throughout all the detected tissue within the slide.
Make sure to open the Project_Regions for this part.
Under Classify, choose pixel classification, create thresholder
The following parameters can be adjusted:
The colour will indicate what is detected as "Region" and what needs to be "Ignored*".
Resolution
Choose the lowest that still gives you an adequate detection
Channel
Choose average channels do detect all the tissue
If interested in only hematoxylin or DAB choose adequate
Prefilter
Gaussian ; performs weighted average of surrounding pixel based on gaussian distribution (chosen in our case)
Smoothing sigma
Defines the amount of blurring
Threshold
Set threshold that it detect the tissue
In the above example it is at 250
Above threshold
Set Class Ignore*
Below threshold
Set Class Region
Region
Everywhere
Classifier name
TissueDetection
The threshold should be tested on multiple slides with different intensities to ensure optimal tissue detection for the entire batch.
The classifier needs to be saved as TissueDetection to run the script.
As a next step download (
) the AutomaticTissueDetetion.groovy script and copy it into your project-region folder. Click Ctrl+L, open up the script editor under File, Open, open the downloaded script. Replace the SetColorDeconvolustionStains with the values from your own EstimateStainingVector values, previously saved in a script.
Click on the three little dots in the right corner, and run the script for the whole project (with saving). The script uses your predefined thresholder, to detect the tissue and removes in another line the sample's edges, as staining often shows an edge effect.
After the automatic detection is run, each slide should be checked and if necessary regions can be removed from the analysis (shown in the image below)
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