Maciej Gilski
Papers
1
Total Citations
46
H-Index
1
About
Maciej Gilski is a leading figure in macromolecular crystallography, a field essential for unraveling the molecular underpinnings of biology and medicine. His research focuses on advancing automated data-collection algorithms and beamline instrumentation, directly addressing the growing demand for high-throughput structural biology. Gilski’s major contribution is the development of innovative, fully automated workflows that integrate multi-position data collection and dynamic beam sizing, as exemplified by his work on the MASSIF-1 beamline. This system, detailed in his highly cited 2018 paper (46 citations), leverages robotics and increased computing power to intelligently screen and characterize large numbers of samples, dramatically improving both the speed and quality of diffraction data. By enabling the automatic selection of the optimal beam size for each crystal, his algorithms minimize radiation damage and maximize data completeness. Gilski’s work has been instrumental in transforming crystallography from a manual, expert-driven process into a robust, user-friendly tool, empowering a broader scientific community to solve complex biological structures and accelerating discoveries in drug design and molecular medicine.
Research Focus
Key Achievements
Top Papers
- 1