Arun Cherkkil
Papers
2
Total Citations
6
H-Index
2
About
Arun Cherkkil is pioneering the intersection of computer vision and neurosurgery, with a focused mission to automate and standardize delicate cranial microsurgeries in animal models. His core research lies in developing intelligent robotic systems that can perform precise craniotomies—the critical procedure of opening the skull to implant neural interfaces or optical windows for brain observation. Cherkkil’s major contribution is the creation of a computer vision–guided platform that replaces manual, error-prone surgical steps with rapid, automated precision. His most cited work (2025, 4 citations) demonstrates this system’s ability to execute microsurgeries in mice with unprecedented accuracy, while a foundational 2024 study (2 citations) extends the approach to rodents broadly. Though early in its citation trajectory, this work is already recognized for its potential to dramatically improve reproducibility in neuroscience experiments and reduce surgical variability. By automating a procedure fundamental to studying neural activity during behavior, Cherkkil is removing a key bottleneck in preclinical research, enabling higher-throughput, more reliable studies of brain function and disease.
Research Focus
Key Achievements
Top Papers
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