CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection

Schäfer, J.-H.; Calza, A.; Hom, K.; Damodar, P.; Peng, R.; Bogdanović, N.; Lander, G.C.; Stagg, S.M.; Cianfrocco, M.A.

doi:10.1107/S2053230X25008866

Acta Crystallographica Section F
Acta Crystallographica
Section F STRUCTURAL BIOLOGY COMMUNICATIONS

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Figure 3
Particle statistics of the automated, unsupervised iterative 2D classification workflow. (a) Tested proteins or protein complexes, ordered by increasing molecular weight. (b) Fraction of selected particles according to CryoSift scores of ≤2.5 (coral), ≤3.5 (blue) and ≤4.5 (tan), ordered by fraction of selected particles.

STRUCTURAL BIOLOGY
COMMUNICATIONS

ISSN: 2053-230X

Volume 81| Part 12| December 2025| Pages 517-526

https://doi.org/10.1107/S2053230X25008866

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