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This lecture covers the techniques and applications of synchrotrons and X-ray free-electron lasers, focusing on crystallography examples such as the future of MX, plastic-eating enzymes, and the impact of plastics on the environment. It also discusses low-energy SAD, enzyme structures determined using MX, mutant engineering for PETase enzymes, and the use of deep learning to improve enzyme efficiency. Additionally, it explores the current state and future roles of macromolecular crystallography, limitations of Alphafold2 in predicting complex protein structures, and the validation of in-silico predicted structures. The lecture concludes with a summary of the key points discussed.