Live 2D seems to be a bit erratic regarding masking. If I don’t set a mask, sometimes it defaults to a really, really tight one (apparently influenced by the maximum particle diameter size used for blob autopicking) but if I stop a run and restart with a different number of classes, it looks like the 2D classes are just windowed, rather than with a defined diameter mask. If I attempt to define a mask diameter it has always appeared to ignore it.
Whether we get better results from Live or “normal” 2D classification seems dataset dependent - for low-symmetry particles Live seems better (at least if starting with >10,000 particles into ~80-100 classes) but for particles which show orientation preference it can be 50/50.
I think the “quick and dirty” classification issue is driven by the desire for high throughput, which is mostly a demand of industry…?