ArticleScience advances2025
Computer vision-guided rapid and precise automated cranial microsurgeries in mice.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- CortexCAM: A Camera Array Microscope for Cortex-Wide Cellular Imaging in Freely Locomoting Mice.Research square · 2026Article
- Cortex-Wide Cellular Imaging in Freely Locomoting Mice Using Cortex Camera Array Microscope (CortexCAM).bioRxiv : the preprint server for biology · 2026Article
- The Optically Guided and Pre-assembled Implantation Cranial Window Reveals Cortical Spatial Representations during Navigation.Research (Washington, D.C.) · 2026Article
- Brain extraction for fixed tissue banking: a technical report.Free neuropathology · 2026Article
- Sim-to-real domain adaptation based completion level recognition for autonomous micro-drilling in biomedical application.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
A common procedure that allows interfacing with the brain is cranial microsurgery, wherein small to large craniotomies are performed on the overlying skull for insertion of neural interfaces or implantation of optically clear windows for long-term cranial observation. Performing craniotomies requires skill, time, and precision to avoid damaging the brain and dura. Here, we present a computer vision-guided craniotomy robot (CV-Craniobot) that uses machine learning to accurately estimate the dorsal skull anatomy from optical coherence tomography images. Instantaneous information of skull morphology is used by a robotic mill to rapidly and precisely remove the skull from a desired craniotomy location. We show that the CV-Craniobot can perform small (2- to 4-millimeter diameter) craniotomies with near 100% success rates within 2 minutes and large craniotomies encompassing most of the dorsal cortex in less than 10 minutes. Thus, the CV-Craniobot enables rapid and precise craniotomies, reducing surgery time compared to human practitioners and eliminating the need for long training.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.