Just bumping this and also showing what I mean.
You can see in the attached an example mic, and lowpass filtered images of extracted particles. For myself, I find it much easier to recognize well centered and non-aggregated particles in the boxed and extracted particles, as opposed to on the micrograph. This is particularly the case when the micrograph is crowded.
Some way to curate/prune extracted particles (and perhaps sort them by derived parameters, e.g. some kind of measure of variance or contrast, as well as class probabilities, shifts etc) would be useful when selecting particles for training picking models.
Cheers
Oli
