Machine-Learning Enabled Imaging: From Microscopy to Medical Imaging to Astronomy - Kirk Lecture

Explore the cutting-edge intersection of machine learning and imaging technologies in this Kirk Lecture by Professor Rebecca Willett from the University of Chicago. Delve into how advanced algorithms are revolutionizing image reconstruction across various scientific and medical fields, from microscopy to medical imaging and astronomy. Learn about the evolution from traditional mathematical models to sophisticated machine learning approaches that leverage vast image collections to improve image quality and resolution. Discover how neural networks are being designed to combine training data with physical models of data collection, leading to unprecedented advancements in imaging techniques. Gain insights into the current challenges and exciting future directions in this rapidly evolving field, and understand how these innovations are transforming our ability to visualize and analyze complex structures across multiple scientific disciplines.