Summary:
- This article provides an overview of the use of machine learning (ML) in cryo-electron microscopy (cryo-EM), a powerful technique for studying the structure of biological molecules at the atomic level.
- It explains how ML algorithms can be used to improve various aspects of cryo-EM data processing, such as particle picking, image classification, and 3D reconstruction, leading to more accurate and efficient structural analysis.
- The article highlights the potential of ML to revolutionize cryo-EM by automating time-consuming tasks, improving the quality of data, and enabling the study of more complex and dynamic biological systems.