Papers
1
Total Citations
34
H-Index
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About
Tam Pham is a structural biologist whose work has advanced the automation of macromolecular crystallization, a critical step in determining protein structures. Their key research areas include crystallization optimization, high-throughput screening, and the integration of robotics into structural biology workflows. Pham’s major contribution lies in bridging the gap between commercial crystallization automation and the nuanced techniques required for successful crystal growth. Their highly cited 2008 paper, "Phoenito experiments: combining the strengths of commercial crystallization automation" (34 citations), describes how four essential optimization methods—growth-rate modulation, fine screening, seeding, and additive screening—were adapted for medium-throughput robotic systems. This work demonstrated that automated platforms could replicate and even enhance manual optimization strategies, making protein crystallography more efficient and accessible. By systematically combining these techniques, Pham provided a practical framework for researchers to improve crystal quality without sacrificing the benefits of automation. Their contributions have directly impacted laboratories seeking to streamline structural determination, and their methods remain a reference point for integrating commercial robotics with experimental flexibility.
Research Focus
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