Residential Collegefalse
Status已發表Published
Robotic stereotaxic system based on 3D skull reconstruction to improve surgical accuracy and speed
Ly,Phuong T.1; Lucas,Alexandra1; Pun,Sio Hang2; Dondzillo,Anna1; Liu,Chao1; Klug,Achim1; Lei,Tim C.2
2021-01
Source PublicationJournal of Neuroscience Methods
ISSN0165-0270
Volume347Pages:108955
Abstract

Background: Some experimental approaches in neuroscience research require the precise placement of a recording electrode, pipette or other tool into a specific brain area that can be quite small and/or located deep beneath the surface. This process is typically aided with stereotaxic methods but remains challenging due to a lack of advanced technology to aid the experimenter. Currently, procedures require a significant amount of skill, have a high failure rate, and take up a significant amount of time.

New method: We developed a next generation robotic stereotaxic platform for small rodents by combining a three-dimensional (3D) skull profiler sub-system and a full six degree-of-freedom (6DOF) robotic platform. The 3D skull profiler is based on structured illumination in which a series of horizontal and vertical line patterns are projected onto an animal skull. These patterns are captured by two two-dimensional (2D) CCD cameras which reconstruct an accurate 3D skull surface profile based on structured illumination and geometrical triangulation. Using the reconstructed 3D profile, the skull can be repositioned using a 6DOF robotic platform to accurately align a surgical tool.

Results: The system was evaluated using mechanical measurement techniques, and the accuracy of the platform was demonstrated using agar brain phantoms and animal skulls. Additionally, a small and deep brain nucleus (the medial nucleus of the trapezoid body) were targeted in rodents to confirm the targeting accuracy.

Conclusions: The new stereotaxic system can accomplish "skull-flat" rapidly and precisely and with minimal user intervention, and thus reduces the failure rate of such experiments.

KeywordStereotaxics Robotic Surgeries Neural Dye Injection Optogenetics 3d Surface Scanning
DOI10.1016/j.jneumeth.2020.108955
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaBiochemistry & Molecular Biology ; Neurosciences & Neurology
WOS SubjectBiochemical Research Methods ; Neurosciences
WOS IDWOS:000600848600010
PublisherELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
Scopus ID2-s2.0-85092216495
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)
Corresponding AuthorLei,Tim C.
Affiliation1.University of Colorado
2.University of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Ly,Phuong T.,Lucas,Alexandra,Pun,Sio Hang,et al. Robotic stereotaxic system based on 3D skull reconstruction to improve surgical accuracy and speed[J]. Journal of Neuroscience Methods, 2021, 347, 108955.
APA Ly,Phuong T.., Lucas,Alexandra., Pun,Sio Hang., Dondzillo,Anna., Liu,Chao., Klug,Achim., & Lei,Tim C. (2021). Robotic stereotaxic system based on 3D skull reconstruction to improve surgical accuracy and speed. Journal of Neuroscience Methods, 347, 108955.
MLA Ly,Phuong T.,et al."Robotic stereotaxic system based on 3D skull reconstruction to improve surgical accuracy and speed".Journal of Neuroscience Methods 347(2021):108955.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Ly,Phuong T.]'s Articles
[Lucas,Alexandra]'s Articles
[Pun,Sio Hang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ly,Phuong T.]'s Articles
[Lucas,Alexandra]'s Articles
[Pun,Sio Hang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ly,Phuong T.]'s Articles
[Lucas,Alexandra]'s Articles
[Pun,Sio Hang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.