Pushing the resolution on a helical dataset

Helical Processing
1

Hi,

I have a nice actin dataset where I think I should be able to obtain better resolution, but I am stuck at 2.9A. I have 2.5M particles after extensive 2D and 3D classification (first doing a refine, then 3D classification with ~30 classes to remove any filament that is not perfectly straight). The movies were aligned within cryosparc during a live session. I did CTF refinement for defocus, then finally a helical NU refinement yields a map at 2.9A. I feel like I should go higher. What are some reasonable next steps here?

ideas:

  • With a non-helical sample I would expand symmetry, classify with a mask around a single sub-unit, collapse symmetry, then continue, but not sure how much sense that makes with a helical protein.

  • box size is currently 340A (actin diameter 70A with rise of 27A). Perhaps I could make a smaller box, since the ends of the filaments are a bit fuzzy in the recon.

  • reference-based motion correction. However this requires that I link the movies, but the movies were aligned during the live session. Is it possible to export movies from the live session?

  • higher order aberrations. I collected my data in EPU and would need the beam shift image shift values to be imported. It’s been a while since I’ve done this, is there a tutorial?

thanks in advance!

Jesse

2

Symmetry expansion for helical data can really make the particle count explode, so I’m not convince that’s worth it…

Custom mask (use RELION) to make a helical mask focussed on the central 30-50% of the helix?

In the Details page of the Live session, there should be an “export exposures” button.

Absolutely break into beam tilt-based groups. Use the Exposure Group Utilities to split them out (you’ll need the paired .xml files if you aren’t running the latest version of EPU which (finally!) adds beam shift groups to the filename.

Depending on the data, you could see a dramatic improvement splitting by beam shift. If the acquisition was a long one, split temporally as well if chasing every last little bit of resolution.