Hi specialists,
My data particles are heterogenous very much. The averaging particles are different in size and have different shapes. It is hardly to seperate them from 2D classification. So I want to try “ab initio reconstruction” or “heterogenous refinement”. But I’m not sure where to set the class number for both experiments. I tried several options, but finally, it ended up with only 2 maps, which is unexpected from the 2D classification.
I am not sure how many conformations are mixed in my data. So I want to tried a initial number of 20 for classes setting in experiments. Maybe it will end up in 6~8 classes. Could you help me to set this? Thank you very much!
Regards,
Jianhao