Fig. 2: The RELION Classification Results of Two Small Datasets: 70S ribosome and beta-galactosidase. | Communications Biology

Fig. 2: The RELION Classification Results of Two Small Datasets: 70S ribosome and beta-galactosidase.

From: Pre-pro is a fast pre-processor for single-particle cryo-EM by enhancing 2D classification

Fig. 2

(a) Classification 70S ribosome experimental cryo-EM images using RELION; 18 good classes are boxed in red. (b) Classification 70S ribosome experimental cryo-EM images using RELION with the aid of the pre-processing (P-RELION); 24 good classes are boxed in red. (c) Classification beta-galactosidase experimental cryo-EM images using RELION; nine good classes are boxed in red. (d) Classification beta-galactosidase experimental cryo-EM images using P-RELION. 13 good classes are boxed in red. (e) and (f) are the initial models calculated from the good classes in (c) and (d), respectively, where the calculation was performed using PRIME; the one from RELION is in green and that from P-RELION is in blue. (g) shows the comparison of an initial model to the golden model using Fourier Shell Correlation (FSC) curve. The FSC curve of comparing (e) to the golden model is colored in green while that of comparing (f) to the golden model is colored in blue. The fitting of an atomic model to these two initial models is displayed in Supplementary Fig. 6.

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