At least in the area I work in (ML on fluorescence microscopy images used to estimate cellular and molecular phenotypes), the problem is extremely similar to the book reader that Google made. Heck, when I worked at Google I even built (20% time, open source) a prototype that could easily have been improved into what I describe (https://github.com/google/cncmicroscope-cad). We have to do the same kinds of distortion corrections (well, actually ours are far harder to do properly) to make the images useful for ML.

I've always been sad that Emerald and Transcriptic haven't been insanely successful. I've tried to put my scopes into both systems (I know the founders), but never made any headway. I like OpenTrons better, but having spent enough of my time knee deep in tubing and stepper motors, I have more appreciation for well-engineered systems.