Papers
2
Total Citations
58
H-Index
2
About
Jean-Luc Buessler is a pioneering researcher at the intersection of robotics, neural networks, and high-throughput microscopy. His work bridges two seemingly distinct fields: the development of modular neural architectures for visually guided robotic movements, and the automation of structural biology workflows. In his foundational 1998 paper on visually guided movements, Buessler introduced a modular neural map approach that enables robots to learn and adapt reaching and grasping behaviors through visual feedback—a contribution that has influenced adaptive robotics and sensorimotor control. His most cited work, a 2010 study on automated screening of 2D crystallization trials using transmission electron microscopy, presents a high-throughput tool-chain that integrates sample preparation and microscopic analysis. This innovation has significantly accelerated structural biology research, reducing manual labor and increasing reproducibility in protein crystallization screening. With over 36 citations for his microscopy work and 22 for his robotics research, Buessler’s impact spans both computational and experimental domains. His achievements exemplify how cross-disciplinary thinking can drive practical advances, from teaching robots to move intelligently to enabling faster discovery in molecular imaging.
Research Focus
Key Achievements
Top Papers
- 1
- 2Visually guided movements: learning with modular neural maps in robotics22 citations · 1998