Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Inference Poses for Reconstruction of 3D Molecular Volumes from Cryo-EM Images

Institute for Pure & Applied Mathematics (IPAM) via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 46-minute lecture on advanced techniques in cryo-electron microscopy (cryo-EM) reconstruction presented by Frederick Poitevin from SLAC National Accelerator Laboratory. Delve into the challenges of processing large cryo-EM datasets and learn about cryoAI, an innovative ab initio algorithm for homogeneous reconstruction. Discover how this approach combines a learned encoder for particle image pose prediction with a physics-based decoder to create neural representations of scattering potential volumes. Gain insights into the potential of this inference method for handling arbitrarily large datasets and its implications for structural biology research.

Syllabus

Frederick Poitevin - Inference Poses for Reconstruction of 3D Molecular Volumes from Cryo-EM Images

Taught by

Institute for Pure & Applied Mathematics (IPAM)

Reviews

Start your review of Inference Poses for Reconstruction of 3D Molecular Volumes from Cryo-EM Images

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.