Leila Ghanbari

University of Minnesota

Papers

2

Total Citations

91

H-Index

2

About

Leila Ghanbari is a leading figure in the development of robotic systems for neuroscientific research, with her work centering on the intersection of precision engineering and cranial microsurgery. Her major contribution is the creation of **Craniobot**, a computer numerical controlled (CNC) robot designed to perform delicate, sub-millimeter cranial procedures with unprecedented accuracy and reproducibility. This open-source platform, detailed in her highly cited 2019 paper (50 citations), replaces manual, error-prone techniques with automated drilling and milling, enabling researchers to safely access the brain for implants, injections, and imaging. Ghanbari’s follow-up work (2020, 41 citations) provides a comprehensive guide for assembling and operating the system, democratizing access to this advanced tool for laboratories worldwide. Her innovations have significantly reduced surgical variability and improved outcomes in rodent models, directly impacting studies in neuroscience, optogenetics, and drug delivery. By making complex microsurgery accessible and reproducible, Ghanbari has empowered a new generation of experiments, establishing herself as a key enabler of high-precision neural interfacing.

Research Focus

Key Achievements

2
H-Index
2
Papers
91
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
Craniobot: A computer numerical controlled robot for cranial microsurgeries
50 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Minnesota

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago