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High-precision neural stimulation by a highly efficient candle soot fiber optoacoustic emitter.
Chen, Guo; Shi, Linli; Lan, Lu; Wang, Runyu; Li, Yueming; Du, Zhiyi; Hyman, Mackenzie; Cheng, Ji-Xin; Yang, Chen.
Afiliação
  • Chen G; Department of Electrical and Computer Engineering, Boston University, Boston, MA, United States.
  • Shi L; Photonics Center, Boston University, Boston, MA, United States.
  • Lan L; Photonics Center, Boston University, Boston, MA, United States.
  • Wang R; Department of Chemistry, Boston University, Boston, MA, United States.
  • Li Y; Department of Electrical and Computer Engineering, Boston University, Boston, MA, United States.
  • Du Z; Department of Electrical and Computer Engineering, Boston University, Boston, MA, United States.
  • Hyman M; Photonics Center, Boston University, Boston, MA, United States.
  • Cheng JX; Department of Mechanical Engineering, Boston University, Boston, MA, United States.
  • Yang C; Photonics Center, Boston University, Boston, MA, United States.
Front Neurosci ; 16: 1005810, 2022.
Article em En | MEDLINE | ID: mdl-36408413
ABSTRACT
Highly precise neuromodulation with a high efficacy poses great importance in neuroscience. Here we developed a candle soot fiber optoacoustic emitter (CSFOE), capable of generating a high pressure of over 10 MPa with a central frequency of 12.8 MHz, enabling highly efficient neuromodulation in vitro. The design of the fiber optoacoustic emitter, including the choice of the material and the thickness of the layered structure, was optimized in both simulations and experiments. The optoacoustic conversion efficiency of the optimized CSFOE was found to be 10 times higher than the other carbon-based fiber optoacoustic emitters. Driven by a single laser, the CSFOE can perform dual-site optoacoustic activation of neurons, confirmed by calcium (Ca2+) imaging. Our work opens potential avenues for more complex and programmed control in neural circuits using a simple design for multisite neuromodulation in vivo.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Front Neurosci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Front Neurosci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos