Edge Detection Based on Multi-Resolution Analysis in Cryo-Electron Micrograph Images
Selecting hundreds of thousands of particles from low contrast and low SNR Cryo-electron micrograph (Cryo-EM) images is one of the major bottle-necks in advancing toward achieving atomic resolution reconstruction of biological macromolecules. To recognize true particles from impurities and other invalid particles, shape information plays a significant role. This paper provide a new method based on multi-resolution analysis to detect the main edges of objects in Cryo-EM image, which can be the pre-processing operations of next step of particle identification.