Core Viewpoint - The article discusses the development of an AI foundation model, Cryo-IEF, and an automated data processing tool, CryoWizard, aimed at revolutionizing cryo-electron microscopy (cryo-EM) image processing, making it more accessible and efficient for researchers [2][3][15]. Group 1: Cryo-EM Technology Overview - Cryo-EM allows for the capture of three-dimensional images of biological macromolecules at atomic resolution, significantly advancing structural biology research [2][5]. - Traditional cryo-EM data processing is complex, time-consuming, and heavily reliant on expert experience, which poses challenges in the field [6][8]. Group 2: Development of Cryo-IEF and CryoWizard - Cryo-IEF is the first AI foundation model specifically designed for cryo-EM image processing, trained on approximately 65 million particle images from over 100 types of biological macromolecules [16]. - CryoWizard is a fully automated, end-to-end data processing workflow that allows users to obtain high-resolution three-dimensional structures from raw cryo-EM images without manual intervention [12][17]. Group 3: Impact and Future Prospects - The introduction of Cryo-IEF and CryoWizard is expected to lower the barriers to using advanced cryo-EM technology, enabling more research teams, including smaller labs, to explore core molecular mechanisms in their fields [15]. - This development exemplifies the synergistic relationship between artificial intelligence and experimental science, where vast experimental data trains powerful AI models, which in turn enhance the efficiency and quality of scientific research [15].