Speaker
Description
"Particle picking is a crucial first step in the computational pipeline of single-particle cryo-electron microscopy. Selecting particles from the micrographs is difficult especially for small particles with low contrast. As high-resolution reconstruction typically requires hundreds of thousands of particles, including rare views, manual picking is often too time-consuming. While template-based particle picking is currently a popular approach, it may introduce bias into the selection process. In addition, these methods may disregard the rare views of the particle. In an effort to avoid this, automatic particle pickers typically select any region of the micrograph that may possibly contain a particle projection. They therefore do not impose alignment restrictions, resulting in the presence of outliers as well as off-centered picked particles.
In this talk I will introduce the APPLE picker (Automatic Particle Picking with Low user Effort), a simple and novel approach for fast, accurate, and template-free particle picking. I will also discuss a novel method for alignment, wherein each particle is aligned independently of all other picked particles. In this way, the alignment is done directly by the APPLE-picker."
