Hi Fishguy,
The image segments easily, especially on the red channel. Does this do something like what you want:
selectWindow("16wp387_4xs.jpg");
getTitle();
filename=getTitle();
rename("original");
run("Duplicate...", "title=TissueMask");
run("Split Channels");
selectWindow("TissueMask (red)");
setAutoThreshold("Triangle");
setOption("BlackBackground", true);
run("Convert to Mask");
run("Fill Holes");
run("Analyze Particles...", "size=1000-Infinity add");
selectWindow("original");
rename(filename);
roiManager("Select", 0);
setBackgroundColor(0, 0, 0);
run("Clear Outside");
run("Set Measurements...", "area mean standard perimeter integrated limit display redirect=None decimal=3");
run("Measure");
Once you have the tissue area, if you are interested in the darker spots within it (for example), then you just need to add further refinement for isolating those ROIs or areas from the image- I noticed that other autothresholding methods could do so on the split channel images. Note that you can quickly try all with the Image->Adjust->Auto Threshold tool. Also, you asked for basic- I have added lines for renaming the file in here, so that it will work with any image you give it by changing the first line to ask the user to open a file (or put it all in a loop to do an entire directory).
Glyn
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