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Since you have a scientific background (I hope?) I'll use mathematics to describe why what you're saying is impossible. A camera only has 3 color filters--red, green, and blue. Obviously those three words are qualitative and not quantitative at all, but what is important that all color is multiplied by the spectral transmission function of those RGB filters ...


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My question then is this: how should I best go about using an in-picture color palette to "match" colors between photographs? Any workflows I should look into or avoid? What other factors might I not be aware of that I should take into consideration for "scientific" color analysis? You'll probably never get the precision you need for ...


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I think you need to define what your null hypothesis is, to help guide you on making a robust test (and think what may mess with the results) I would suggest taking a bunch images with a printed scale beside them. As pilot you could just use your own mixed with blood from a finger prick or the juice from the bottom of a meat tray. (Be aware this would be ...


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