Hi, in a 2D classification of a negative stain dataset, I noticed classes which contain zero particles but show a non-blank image (see screenshot). Shouldn’t a a class without particles give a blank image?
The number of particles is correct (selecting a class containing 5 particles gives 5 particles, also when running a re-extraction job).
This made me wonder if maybe after the last iteration the class images are not updated and the images are actual the averages of the previous iteration… Did someone experience something similar and could comment on this please? Thank you for your help.
PS: For the cases where the class image looks blank but actually contains particles, it seems to me that an auto-brightness adjustment applied on the entire set of class images likely makes them appear blank in the overview. The mrc files of these classes are ok.