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Engineering microscale systems for fully autonomous intracellular neural interfaces

Conventional electrodes and associated positioning systems for intracellular recording from single neurons in vitro and in vivo are large and bulky, which has largely limited their scalability. Further, acquiring successful intracellular recordings is very tedious, requiring a high degree of skill n...

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Autores principales: Kumar, Swathy Sampath, Baker, Michael S., Okandan, Murat, Muthuswamy, Jit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433365/
https://www.ncbi.nlm.nih.gov/pubmed/34567616
http://dx.doi.org/10.1038/s41378-019-0121-y
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author Kumar, Swathy Sampath
Baker, Michael S.
Okandan, Murat
Muthuswamy, Jit
author_facet Kumar, Swathy Sampath
Baker, Michael S.
Okandan, Murat
Muthuswamy, Jit
author_sort Kumar, Swathy Sampath
collection PubMed
description Conventional electrodes and associated positioning systems for intracellular recording from single neurons in vitro and in vivo are large and bulky, which has largely limited their scalability. Further, acquiring successful intracellular recordings is very tedious, requiring a high degree of skill not readily achieved in a typical laboratory. We report here a robotic, MEMS-based intracellular recording system to overcome the above limitations associated with form factor, scalability, and highly skilled and tedious manual operations required for intracellular recordings. This system combines three distinct technologies: (1) novel microscale, glass–polysilicon penetrating electrode for intracellular recording; (2) electrothermal microactuators for precise microscale movement of each electrode; and (3) closed-loop control algorithm for autonomous positioning of electrode inside single neurons. Here we demonstrate the novel, fully integrated system of glass–polysilicon microelectrode, microscale actuators, and controller for autonomous intracellular recordings from single neurons in the abdominal ganglion of Aplysia californica (n = 5 cells). Consistent resting potentials (<−35 mV) and action potentials (>60 mV) were recorded after each successful penetration attempt with the controller and microactuated glass–polysilicon microelectrodes. The success rate of penetration and quality of intracellular recordings achieved using electrothermal microactuators were comparable to that of conventional positioning systems. Preliminary data from in vivo experiments in anesthetized rats show successful intracellular recordings. The MEMS-based system offers significant advantages: (1) reduction in overall size for potential use in behaving animals, (2) scalable approach to potentially realize multi-channel recordings, and (3) a viable method to fully automate measurement of intracellular recordings. This system will be evaluated in vivo in future rodent studies.
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spelling pubmed-84333652021-09-24 Engineering microscale systems for fully autonomous intracellular neural interfaces Kumar, Swathy Sampath Baker, Michael S. Okandan, Murat Muthuswamy, Jit Microsyst Nanoeng Article Conventional electrodes and associated positioning systems for intracellular recording from single neurons in vitro and in vivo are large and bulky, which has largely limited their scalability. Further, acquiring successful intracellular recordings is very tedious, requiring a high degree of skill not readily achieved in a typical laboratory. We report here a robotic, MEMS-based intracellular recording system to overcome the above limitations associated with form factor, scalability, and highly skilled and tedious manual operations required for intracellular recordings. This system combines three distinct technologies: (1) novel microscale, glass–polysilicon penetrating electrode for intracellular recording; (2) electrothermal microactuators for precise microscale movement of each electrode; and (3) closed-loop control algorithm for autonomous positioning of electrode inside single neurons. Here we demonstrate the novel, fully integrated system of glass–polysilicon microelectrode, microscale actuators, and controller for autonomous intracellular recordings from single neurons in the abdominal ganglion of Aplysia californica (n = 5 cells). Consistent resting potentials (<−35 mV) and action potentials (>60 mV) were recorded after each successful penetration attempt with the controller and microactuated glass–polysilicon microelectrodes. The success rate of penetration and quality of intracellular recordings achieved using electrothermal microactuators were comparable to that of conventional positioning systems. Preliminary data from in vivo experiments in anesthetized rats show successful intracellular recordings. The MEMS-based system offers significant advantages: (1) reduction in overall size for potential use in behaving animals, (2) scalable approach to potentially realize multi-channel recordings, and (3) a viable method to fully automate measurement of intracellular recordings. This system will be evaluated in vivo in future rodent studies. Nature Publishing Group UK 2020-02-10 /pmc/articles/PMC8433365/ /pubmed/34567616 http://dx.doi.org/10.1038/s41378-019-0121-y Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kumar, Swathy Sampath
Baker, Michael S.
Okandan, Murat
Muthuswamy, Jit
Engineering microscale systems for fully autonomous intracellular neural interfaces
title Engineering microscale systems for fully autonomous intracellular neural interfaces
title_full Engineering microscale systems for fully autonomous intracellular neural interfaces
title_fullStr Engineering microscale systems for fully autonomous intracellular neural interfaces
title_full_unstemmed Engineering microscale systems for fully autonomous intracellular neural interfaces
title_short Engineering microscale systems for fully autonomous intracellular neural interfaces
title_sort engineering microscale systems for fully autonomous intracellular neural interfaces
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433365/
https://www.ncbi.nlm.nih.gov/pubmed/34567616
http://dx.doi.org/10.1038/s41378-019-0121-y
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