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Figure 2
Automated workflow scheme for iterative 2D classification using CryoSift with cryosparc-tools. CryoSift generates quality labels from user-provided 2D projections and is forwarded to the cryosparc-tools API. A user-provided cutoff score defines the Select/Reject list for the 2D Select job in cryoSPARC and iterates through 2D classification, class-quality labeling and selection for N rounds: N = 2 for boxes >300 px, N = 3 for boxes between 200 and 300 px and N = 5 for boxes <200 px. All particles passing the cutoff criterion are pooled and subjected to an ab initio reconstruction. The reconstruction quality is assessed from the Fourier shell correlation (FSC) to a simulated prior (FSC cutoff at 0.5). The atom inclusion is calculated using a corresponding model file and reported as the mean overall Q-score.

Journal logoSTRUCTURAL BIOLOGY
COMMUNICATIONS
ISSN: 2053-230X
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