I (finally?) got around to trying blob picker tuner.
It is really excellent and works great! I think it might be worth expanding the documentation a bit to emphasize that it grid searches the major & minor axes of an elliptical blob - although it does mention something about shapes in the docs, I didn’t pick up on this, and it makes it much more useful for membrane proteins!
EDIT:
Blob Picker tuner does not output the templates it creates… would it be possible to output the individual generated templates so they can be reused and combined in a template picker job? I guess I can just generate them using Blob Picker with the calculated parameters, so maybe it doesn’t matter, but it would be convenient…
EDIT2: Also, there is no option to use denoised mics. I assume they are not used? Would be good to have as an option?
EDIT3: Tuner only ever seems to use one template, even on heterogeneous datasets. Is this by design? Would having an option to keep/use the n top scoring templates that recapitulate different subsets of user picks be worthwhile?