So obviously, this has to go through a clinical trial, right? And this is the clinical trial that, that data will be analyzed by. So this would be sort of the validation study. We would be using the data from not only our Phase 2 study, which was recently completed, but also the Phase 3 in Stargardt to use not only the traditional algorithm, the Heidelberg region finding software that everyone is using, but this new imaging algorithm, which actually defines the atrophic lesions more clearly, more discretely. And so we'll be looking at both methods regarding how widespread is. It's not widespread because, in fact, this methodology, this algorithm was just recently developed, and they used our Phase 2 data to develop. And the reason this is very important, the reason they were able to do this is because in our Phase 2 study, we enrolled subjects that only had the early lesion type to sort of predecessor lesions type, this QDA of the autofluorescent lesions that will transition to atrophic lesions. So when we looked at the traditional imaging modalities, none of our patients had atrophic lesions at baseline. But when we applied the new algorithm, this newly developed imaging algorithm, we found that, in fact, many patients at baseline did in fact have atrophic lesions, but they just couldn't be identified by the Heidelberg Region Finding Software. So this is really the difference. And I don't want to get into the technical detail, but the fact is that this algorithm is much more discretely looking at, it's basically looking at a central lesion and then looking out in concentric rings out into outlying areas until it gets to healthy retina, and then it's comparing the intensity from healthy retina to what we call a lesion, whether it's autofluorescent or atrophic. And so it's just much better at using a reference value of healthy tissue to determine what is atrophic. And the Heidelberg imaging lesion finding software doesn't do that. So we'll use this data to validate that algorithm and probably going forward, I think we'll present this obviously to the FDA. But I think it will catch on because it allows a more definitive and discrete determination of what really is atrophic retina. But with this new algorithm what's very, very important is when we go back and we analyze this data, we find that these patients -- we mentioned 42% of subjects never transitioned to an atrophic lesion growth despite having very severe genotypes that would predict pathology. They never converted, which is astounding, and it can only speak to a treatment effect. But the most important fact about that is that other patients, those patients that actually converted, we actually have atrophic lesions before we could actually measure them by using the new algorithm. What this means is that we can go back to that data and actually look for the growth rates in those lesions and what we're finding is and actually further suppression of growth rates because we're actually seeing atrophic lesions further earlier, I should say, in the development program. Typically, what we are seeing is we didn't see the first atrophic lesions until 12 months. But it turns out there, as I said before, there are patients with lesions at baseline, but they grew so slowly, they couldn't be detected. So this is very important because it tells us that we're actually having a more robust treatment effect than we earlier thought. So we know we're getting a slowing of the conversion from the autofluorescent to atrophic lesion. And once the atrophic lesions we're seeing a slowing of that. But now with the new algorithm, what we're seeing is that, overall, all subjects have, in fact, this reduced lesion growth rate. And so this is why we're very optimistic going forward. And again, this will require validation in a clinical trial like we're doing, and it will probably be another year or two before other investigators really start using it. And of course, that will require the publication of the data and for people to really analyze it, vet it and use it in their own practices to determine the accuracy and the validity of the technique.