Neural matchsticks for 3D neural network assembly

M. Kato-Negishi, Hiroaki Onoe, A. Sato, S. Takeuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This conference proceeding describes a three-dimensional (3D) neural network formed by neural matchsticks assembly. The neural matchsticks are cut from a meter-long neural microfiber that is made by core-shell hydrogel microfibers encapsulating neural stem cells (NSCs). For fabrication of 3D neural network, we assembled the neural matchsticks into a PDMS mold and cultured. Since neural matchsticks are initially covered with alginate shell, cells sprout out from only the edge of the neural matchsticks, and connected with each other. We demonstrated several types of connection angles using neural matchsticks. Alginate shell-covered neural network has handleability and high mechanical strength compared to neural tissue. After alginate shell is dissolved, we can obtain a 3D neural tissue that consists of only cells (neurons and glial cells). We believe that neural matchsticks assembly enables the fabrication of complex 3D neural network in vitro, and that this system is a powerful approach for various fields including neural tissue engineering, analysis of 3D neural network how they fire action potential, and pharmacological assay for drug screening.

Original languageEnglish
Title of host publication18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2014
PublisherChemical and Biological Microsystems Society
Pages992-993
Number of pages2
ISBN (Print)9780979806476
Publication statusPublished - 2014
Externally publishedYes
Event18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2014 - San Antonio, United States
Duration: 2014 Oct 262014 Oct 30

Other

Other18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2014
CountryUnited States
CitySan Antonio
Period14/10/2614/10/30

Keywords

  • 3D culture
  • Neural network
  • Neural stem cells

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Kato-Negishi, M., Onoe, H., Sato, A., & Takeuchi, S. (2014). Neural matchsticks for 3D neural network assembly. In 18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2014 (pp. 992-993). Chemical and Biological Microsystems Society.