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About
John Surr is a leading figure in the automation of macromolecular crystallography (MX), a field critical for determining the three-dimensional structures of biological molecules. His primary research focuses on developing advanced robotic systems and instrumentation to streamline and accelerate X-ray diffraction experiments. Surr’s most notable contribution is the creation of "RoboDiff," an innovative hybrid device that integrates a robotic sample changer with a high-precision goniometer. This system, detailed in his highly cited 2016 paper (44 citations), revolutionized data collection by enabling fully automated sample mounting, centering, and diffraction measurement. This breakthrough dramatically increased throughput and reliability, allowing for the unattended, round-the-clock operation of synchrotron beamlines. By significantly reducing manual intervention and human error, Surr’s work has accelerated the pace of structural biology research, enabling high-volume screening and data collection for everything from drug discovery to fundamental biochemistry. His engineering achievements have been instrumental in making modern MX beamlines more powerful and accessible to the global scientific community.
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