Current Approaches to Cryo-electron Microscopy, Volume 223 provides a comprehensive overview of the field, tracing its evolution from early structural studies to modern pipelines powered by deep-learning algorithms for helical reconstruction. The book addresses the persistent bottleneck of sample preparation, detailing the physical challenges of fibril clumping and interfacial adsorption, alongside emerging solutions to these problems. Chapters in this new release include Advancing biological understanding of the poxvirus scaffold through breakthroughs in cryo-electron microscopy, Pursuing the physics of cryoEM image formation, AI Tools for Cryo-EM: Protein Particle Picking, Density Map Enhancement, and Atomic Model Building, and much more.

Additional chapters cover Cryo-EM of Amyloid Fibrils: Advances, Challenges, and Translational Applications, Computational Approaches for Protein Complex Modeling for Intermediate Resolution Cryo-EM Maps, Calcium-sensing receptor, involved in the oral perception of the kokumi substances, Insights into the Structure and Diversity of the Bacterial Flagellum from cryo-EM studies, Overview and future potential in structural studies of bacteriophages by cryo-electron microscopy, and more.

• Reviews cryo-EM yields near-atomic structures that advance neurodegenerative/metabolic disease understanding and enable drug design
• Provides information on deep-learning AI accelerates structure determination through image processing, map enhancement, and model building
• Assesses key challenges and opportunities including sample prep bottlenecks, polymorphism, and using high-res maps to design inhibitors that disaggregate fibrils