I found two recently released paper talking about using self-supervised algorithms to solve the preferred orientation problem:
cryoPROS: Addressing preferred orientation in single-particle cryo-EM through AI-generated auxiliary particles https://doi.org/10.1101/2023.09.26.559492
spIsoNet: Resolving the Preferred Orientation Problem in CryoEM Reconstruction with Self-Supervised Deep Learning
Has anyone tried these ways? or any comments on these algorithms? I have a protein showing a little bit of preferred orientation, and I feel these self-supervised algorithms could be the right solution for us.