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Craniobot: A computer numerical controlled robot for cranial microsurgeries
Leila Ghanbari1, Mathew L Rynes2, Jia Hu2
1Department of Mechanical Engineering, University of Minnesota, Twin Cities, Minnesota, USA.
Scientific Reports
|February 2, 2019
Summary
A new automated platform, the Craniobot, precisely removes skull sections for brain access. This robotic system enhances microsurgical precision and facilitates advanced neurotechnology use in mice.
Area of Science:
- Neurosurgery
- Robotics
- Biomedical Engineering
Background:
- Advanced neurotechnologies require precise brain access via cranial microsurgery.
- Current cranial microsurgery demands extensive training due to the delicate, thin skull bone.
- Automation can improve precision and accessibility of these procedures.
Purpose of the Study:
- To introduce an automated platform for cranial microsurgery.
- To enable precise skull modifications for neuroscientific research.
- To reduce the technical barrier for advanced neurotechnology implementation.
Main Methods:
- Developed the Craniobot, integrating automated skull surface profiling with CNC milling.
- Utilized a low-force contact sensor for accurate skull surface mapping.
- Performed milling operations based on real-time surface data.
Main Results:
- Successfully performed automated cranial microsurgical procedures on mice.
- Achieved precise skull thinning and craniotomies in minutes.
- Demonstrated the platform's capability for various surgical tasks.
Conclusions:
- The Craniobot offers a precise and efficient solution for cranial microsurgery.
- Automation of cranial procedures can significantly benefit neurosurgery and research.
- This platform can accelerate the adoption of novel neurotechnologies.
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