I apologize if this topic has already been covered. I may not know the correct terms to use to look it up.
I feel that my description of the problem may be hard to convey as well.
I have two TIF image stacks that have some overlap. Unfortunately, the machine I use to create those images has a glitch that just started. However, I didn’t notice it until I set the specimen back to the client.
I usually reconstruct my imaging using the same histogram numbers based upon the stack that has the densest material. I then stitch those stacks together to create the whole specimen which has the same histogram throughout. This is because the data was gathered with the exact same settings.
The glitch I talked about earlier causes the imaging for the stacks to be created with a different histogram for each stack instead of a consistent one. If I were to stitch the stacks together, they would show a dramatic shift at the stitching point and would skew the data for the researcher.
Seems as if I should be able to find an image in each of the stacks that matches in the way you do if you are stitching them together. Then using the histogram info from one of the images, apply it to the second stack image and then transfer those settings throughout the rest of the second stack.
I think I know how to determine the histogram of the first image by using these steps, https://imagej.nih.gov/ij/docs/menus/analyze.html#hist
The top image is the incorrect histogram, the bottom is the correct one. Need them to match each other and then apply that through the whole stack.
The two image stacks are already reconstructed with the same histogram numbers, so just applying one set of numbers to the whole stack won’t work since the info was gathered with two different histograms.
Thank you for taking the time to help.