Ok, but I’m not sure If I’m doing it correctly.
I attach 5 sample photos, of 2 different receptors DAB staining.
I’m using fiji Andy’s algorithm plugin - IHC.
First I analyzed photos for calibration for each receptor separately. Some stainings are weaker, some are pretty obvious. Next, I put parameters suggested by the calibration process and analyzed a whole group of photos. As I said some results are “0” but for me staining is positive…? How can I obtain better detection? And make the results more reliable? I see staining in nuclei, in the cytoplasm - does it influence the method? I want to detect all.
What particular information should I give so that we can solve the puzzle?
Plus, an additional question on statistics: let’s say that staining is “0” how should I put it into statistics? The lower value of average intensity says that the staining is stronger. So 0 average intensity will make a mean value paradoxically more, when there is less…
I would be extremely thankful for help!
18.02,pprgamma1-100,ph9,489-17,7_TRANS_0001.tif (4.0 MB)
21.02.20,igf1r685-14,20x4_TRANS_0001.tif (4.0 MB)
21.02.20,igf1r1696-15,20x4_TRANS_0001.tif (4.0 MB)
21.02.20,igf1r186-18,1-10,9999,20x,5_TRANS_0001.tif (4.0 MB)
18.02,pprgamma1-100,803-19,ph9,6_TRANS_0001.tif (4.0 MB)