I think this is terrific you are trying to tackle this problem. The issue with using "50 year old" techniques is a detriment to progress. Interface looks beauti

I think this is terrific you are trying to tackle this problem. The issue with using "50 year old" techniques is a detriment to progress. Interface looks beautiful as well. My insights are probably things you've already considered. There are as many quantitative microscopy techniques as there are lab teams in the wild. Everyone builds their own correlations depending on their research dive of interest. So I think even if you just solved that problem: cloud storage of images combined with manual human analysis software. You could get some fraction of the million or so researchers across the globe. For many UI use cases, simplicity is desirable. But in this space, I think feature richness is key (even if 80% of users only need 20% of counting techniques). The other obvious point is that image analysis can be similar across domains. From biology, to high energy physics. Even places you may not dream of: digital archeology. Keeping things general as possible may not be in your original mission or expertise, but I think it could help discover other pockets of interest. Last point is around "AI enhanced microscopy". I've seen state of the art techniques like this termed "Medical Vision". Sort of a combination of "precision medicine" and "computer vision". As you try to break from the past, it may be something to ascribe to your services. Plus it sounds cool and futuristic ;) Best of luck and really rooting for this to succeed. Definitely a problem that needs to be solved. And ripe with potential. Great job!