There are plans to include 2D classification in the next version of cryoSPARC. In the meantime our group tends to do 2D classification in Relion prior to importing particles to cryoSPARC. However, sometimes 2D classification isn’t necessary and we can go straight to 3D classification.
@apunjani is there a convenient way to do classification following refinement but disallow orientation searching during classification (keep orientations from the refinement)?
Thanks John. Indeed we are currently working on 2D classification in cryoSPARC.
Currently there is not a way to classify only (and not re-align particles). When you select particles from a refinement output, only the identity of those particles is used, not their alignments, in further experiments. This is something we are building as we move to support local/masked refinement.