Fig. 5
From: A large-scale curated and filterable dataset for cryo-EM foundation model pre-training
Results of Micrograph Curation. We display micrographs categorized into low quality (0–2), medium quality (3–5), and high quality (6–7) based on our quality screening criteria. To evaluate cryo-EM image quality, we design a screening scheme based on seven key parameters, including median intensity after motion correction, total rigid motion and its rate of change (total rigid motion curvature), as well as CTF fit resolution, tilt angle, defocus range, and astigmatism derived from CTF estimation. For each parameter, we calculate the mean (μ) and standard deviation (σ) of the dataset and use the 3σ interval to annotate each parameter. Each parameter within the screening interval contributes 1 point to the image quality score, resulting in a final quality score ranging from 0 to 7. Through this screening process, we have observed a significant improvement in micrograph quality as the quality score increases.
