Hi,
I’ll point you to the Process->Enhance Contrast option in ImageJ. That changes the ‘presentation’ of the image by default but not the underlying data while Process->Enhance Contrast with the « Equalize histogram » option checked actually manipulates the underlying data values in the image (like what the other responder suggested and would happen when they mentioned using the ‘Math’ option).
The latter ‘Equalize histogram’ option is probably what you want to try for each image in the mosaic, but I feel obligated to tell you that journals don’t generally like this kind of image manipulation [and often STRONGLY discourage it] if you’re using the images to quantify some intensities (e.g., protein expression levels, especially immunohisto-labeling or "in situ hybridization").
If that’s what you were doing it ideally should be optimized at the imaging step (making the intensities comparable by maximizing the dynamic range of your detector), and if it’s not manageable there, that means there is a problem with the labeling/imaging technique, or fundamentally the experiment. Depending on what you’re trying to show though, for example if something IS or IS NOT expressed (a binary operation), this image manipulation could be totally reasonable though for just the presentation of your point, but it’s hard to assess from my POV with your description what your actual intention is...
Just my 2cents -- HTH, and best regards,
John
Le 18 mai 2014 à 01:34, persian a écrit :
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