Hi all,

i am new in image processing and using ImageJ. I want to measure the density in areas of pictures that were originally taken at a different magnification. I attached an example that I hope helps to understand what I mean. They are two pictures taken at different magnification with a UV machine and I want to compare the density of the dark rounded spots (basically cells)you see in the two different images. I was going to just selecting the spots with the circular selection with ImageJ and measuring the density of these in the two images and compare the values. Then I thought about the difference in magnification. At the beginning I have also thought that setting the same magnification for these two pictures with a software, e.g. Gimp or Photoshop, was sufficient to make them comparable for the measurements. However, I thought that this doesn’t change the number of total pixels that was determined by the magnification I used when I originally took the pictures with the UV machine. Therefore, since these two pictures were not taken at the same magnification, I am worried that the mean gray and the integrated density values I get by taking measurements with Imagej could be affected. Does it make sense? I was wondering how to deal with cases like that, if there is an easy way to calibrate these two pictures that have different magnification so that I can compare the spots and have a real density number.

Also, do you think it is better to take the mean gray value, integrated density or raw integrated density as value of density in this case?Could you also motivate your answer please?

Thank you very much in advance,

Silvia

More Silvia Caprari's questions See All
Similar questions and discussions