Bo Liang1, Lifeng Zhang2, Casey Moffitt3, Yun Li4, Da-Ting Lin5. 1. Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD, 21224, United States. Electronic address: liangb227@gmail.com. 2. Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD, 21224, United States. Electronic address: lfzhang916@hotmail.com. 3. Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD, 21224, United States. 4. Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD, 21224, United States; Department of Zoology and Physiology, University of Wyoming College of Arts and Sciences, Laramie, WY, 82071, United States. 5. Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 333 Cassell Drive, Baltimore, MD, 21224, United States; The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, United States.
Abstract
BACKGROUND: Gradient index (GRIN) lenses can be used to image deep brain regions otherwise inaccessible via standard optical imaging methods. Brain tissue aspiration before GRIN lens implantation is a widely adopted approach. However, typical brain tissue aspiration methods still rely on a handheld vacuum needle, which is subject to human error and low reproducibility. Therefore, a high-precision automated surgical instrument for brain tissue aspiration is desirable. NEW METHOD: We developed a robotic surgical instrument that utilizes robotic control of a needle connected to a vacuum pump to aspirate brain tissue. The system was based on a commercial stereotaxic instrument, and the additional parts can be purchased off-the-shelf or Computer Numerical Control (CNC) machined. A MATLAB-based user-friendly graphical user interface (GUI) was developed to control the instrument. RESULTS: We demonstrated the GRIN lens implantation procedure in the dorsal striatum utilizing our proposed surgical instrument and confirmed the surgical results by microscope after the implantation. COMPARE WITH EXISTING METHOD(S): Compared to the traditional handheld method, the automatic tissue aspiration can be performed by interacting with GUI. The instrument was designed specifically for microendoscope implantation, but it can also be easily adapted for robotic craniotomy. This robotic surgical instrument can minimize human error, reduce training time, and greatly increase surgical precision. CONCLUSIONS: Our robotic surgical instrument is an ideal solution for brain tissue aspiration prior to GRIN lens implantation. It will be useful for neuroscientists performing in vivo deep brain imaging using miniature microscope or two-photon microscope combined with microendoscopes. Published by Elsevier B.V.
BACKGROUND: Gradient index (GRIN) lenses can be used to image deep brain regions otherwise inaccessible via standard optical imaging methods. Brain tissue aspiration before GRIN lens implantation is a widely adopted approach. However, typical brain tissue aspiration methods still rely on a handheld vacuum needle, which is subject to human error and low reproducibility. Therefore, a high-precision automated surgical instrument for brain tissue aspiration is desirable. NEW METHOD: We developed a robotic surgical instrument that utilizes robotic control of a needle connected to a vacuum pump to aspirate brain tissue. The system was based on a commercial stereotaxic instrument, and the additional parts can be purchased off-the-shelf or Computer Numerical Control (CNC) machined. A MATLAB-based user-friendly graphical user interface (GUI) was developed to control the instrument. RESULTS: We demonstrated the GRIN lens implantation procedure in the dorsal striatum utilizing our proposed surgical instrument and confirmed the surgical results by microscope after the implantation. COMPARE WITH EXISTING METHOD(S): Compared to the traditional handheld method, the automatic tissue aspiration can be performed by interacting with GUI. The instrument was designed specifically for microendoscope implantation, but it can also be easily adapted for robotic craniotomy. This robotic surgical instrument can minimize human error, reduce training time, and greatly increase surgical precision. CONCLUSIONS: Our robotic surgical instrument is an ideal solution for brain tissue aspiration prior to GRIN lens implantation. It will be useful for neuroscientists performing in vivo deep brain imaging using miniature microscope or two-photon microscope combined with microendoscopes. Published by Elsevier B.V.
Authors: Shanna L Resendez; Josh H Jennings; Randall L Ung; Vijay Mohan K Namboodiri; Zhe Charles Zhou; James M Otis; Hiroshi Nomura; Jenna A McHenry; Oksana Kosyk; Garret D Stuber Journal: Nat Protoc Date: 2016-02-25 Impact factor: 13.491
Authors: Joshua H Jennings; Randall L Ung; Shanna L Resendez; Alice M Stamatakis; Johnathon G Taylor; Jonathan Huang; Katie Veleta; Pranish A Kantak; Megumi Aita; Kelson Shilling-Scrivo; Charu Ramakrishnan; Karl Deisseroth; Stephani Otte; Garret D Stuber Journal: Cell Date: 2015-01-29 Impact factor: 41.582
Authors: Giovanni Barbera; Bo Liang; Lifeng Zhang; Charles R Gerfen; Eugenio Culurciello; Rong Chen; Yun Li; Da-Ting Lin Journal: Neuron Date: 2016-09-22 Impact factor: 17.173
Authors: Mark L Andermann; Nathan B Gilfoy; Glenn J Goldey; Robert N S Sachdev; Markus Wölfel; David A McCormick; R Clay Reid; Michael J Levene Journal: Neuron Date: 2013-10-17 Impact factor: 17.173
Authors: Yaniv Ziv; Laurie D Burns; Eric D Cocker; Elizabeth O Hamel; Kunal K Ghosh; Lacey J Kitch; Abbas El Gamal; Mark J Schnitzer Journal: Nat Neurosci Date: 2013-02-10 Impact factor: 24.884
Authors: Samuel W Cramer; Russell E Carter; Justin D Aronson; Suhasa B Kodandaramaiah; Timothy J Ebner; Clark C Chen Journal: J Neurosci Methods Date: 2021-02-15 Impact factor: 2.390
Authors: Yan Zhang; Alexander J Denman; Bo Liang; Craig T Werner; Nicholas J Beacher; Rong Chen; Yun Li; Yavin Shaham; Giovanni Barbera; Da-Ting Lin Journal: Neuron Date: 2021-12-17 Impact factor: 17.173
Authors: Bo Liang; Rashmi Thapa; Gracie Zhang; Casey Moffitt; Yan Zhang; Lifeng Zhang; Amanda Johnston; Hyrum P Ruby; Giovanni Barbera; Philip C Wong; Zhaojie Zhang; Rong Chen; Da-Ting Lin; Yun Li Journal: Prog Neurobiol Date: 2022-06-04 Impact factor: 10.885
Authors: Craig T Werner; Christopher J Williams; Mercedes R Fermelia; Da-Ting Lin; Yun Li Journal: Front Neurosci Date: 2019-10-31 Impact factor: 4.677
Authors: Nicholas J Beacher; Kayden A Washington; Craig T Werner; Yan Zhang; Giovanni Barbera; Yun Li; Da-Ting Lin Journal: Front Neural Circuits Date: 2021-10-05 Impact factor: 3.492
Authors: Bo Liang; Lifeng Zhang; Yan Zhang; Craig T Werner; Nicholas J Beacher; Alex J Denman; Yun Li; Rong Chen; Charles R Gerfen; Giovanni Barbera; Da-Ting Lin Journal: iScience Date: 2022-04-12