Automated image processing from movies to 2D classes. Includes CTF estimation, quality filters, box size estimation, training a data-specific picking model, and three 2D classification jobs (25k, 50k, and 100k particles) using Relion.
Adapting to Tilted Samples
To process tilted experiments, use ”tilted” templates. These are modified workflows tailored to handle high drift and lower resolution commonly observed in tilted samples. Key adjustments include:
-
Motion Correction Filters: Max per-frame shift = 30; Global drift = 120.
-
CTF Consensus Filters: Adapted to 6.5 Å and 8.5 Å resolution cutoffs.
-
Defocus Sampler: Trains with 500 images to select 25 diverse examples, ensuring a generalizable picking model.
Version History
Version 1 (earliest) Created 24th Jun 2025 at 11:28 by Daniel Marchan
Initial commit
Open
master
76e12d4

Creators
Not specifiedSubmitter
Views: 22 Downloads: 3
Created: 24th Jun 2025 at 11:28

This item has not yet been tagged.

None
