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The total area occupied by brown markers (PrP and GFAP) or by white spaces (spongiosis) was estimated by setting a "threshold" using the thresholding tool for the selection of these areas, and the positive IHC/HE index for that image was calculated.
Both the total and non-degradable amounts of the substrate follow a reverse-sigmoid curve, hence we can quantify to what extent the response is switch-like (i.e. combining temporal thresholding and rapid decrease after the threshold) using the response coefficients introduced above.
We set the threshold using the training dataset.
Further work deals with the prediction of this threshold using the Smith Watson Topper criterion.
The SUs' average total capacity with different detection threshold using the OSAPA algorithm for different rate loss ratio of PUs.
The SUs' average total capacity with different detection threshold using the SSAPA algorithm for different power budget of CR-BS.
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In principle, the higher the threshold used, the lower the number of links existing between proteins encoded by different plasmids.
The posterior edge probabilities were then thresholded using the thresholding scheme described above.
It is different from other dynamic thresholding methods which perform thresholding using the global correlation matrix.
The obtained 10-ns threshold was then converted into 3 ns-threshold using the empirical formula of τ 0.45for pulse duration of 10 ps~300 ns [13, 14].
Single chromosomes were defined and thresholded using the plug-in "3D object counter" [69].
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