I have 4 images to analyse (4 membranes). I have 4 images generated, and so far have analysed the pixel data using ImageJ software. I now have to analyse which pixel corresponds to which specific protein, and thus translate these into graphs.
Measure the density of the spots with a software like Image J. Substact the background of all your spots (background = density of the spot of your negative control). Normalize every spots with your spots "positive control" for each membrane.
After these transformations of your spots you can make a ratio of your "spots experimental tests"/"spots experimental control" to express a change in the expression of the angiogenic factors.
1) Measure the pixel density of each spot with Fiji or image J
2) Subtract the background.
3) Normalize all the values with reference spot(s) values on the blot.
4) I think with the kit they will provide you a transparent sheet with each spot labelled accordingly. You can check on the booklet provided with a kit which spot corresponds to what.
5) Compare your treated sample with the untreated.
Could anybody provide or recommend publications that have used this array? I would like to know what are the minimum pixel values that should be interpreted as significant biological levels of secreted angiogenic factors.
In our assays, we found values ranging from 54 to 80,000 pixels.