A METHOD FOR SINGLE PARTICLE SELECTION IN CRYO-EM BASED ON MULTI-SCALE IMAGE FUSION

The current mainstream particle selection methods for Cryo-EM often require massive artificially generated training sets or high-quality particle templates, or the particle selection process is extremely complicated. In order to improve the efficiency of cryo-electron microscopy particle selection and simplify the particle selection process, this paper proposes an automatic particle selection method. In the image preprocessing stage, the Lanczos sampling image fusion method was used to improve the image quality, and the image threshold segmentation method based on the maximum inter-class variance was used to separate the particles and the background to achieve particle selection. The experimental results on the EMPAIR public data set show that the proposed method has a higher recall rate and accuracy rate compared with other methods.