A computational platform to assess the metabolic-electrophysiological behaviour of neurons cultured in monolayers

R. Fabbri; A. Ahluwalia; C. Magliaro

doi:10.4081/bse.227

A computational platform to assess the metabolic-electrophysiological behaviour of neurons cultured in monolayers

https://doi.org/10.4081/bse.227

PDF

Vol. 5 No. 1 (2024)

Published: 17 November 2023

Abstract views:

204

PDF:

134

Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

R. Fabbri Research Center “E. Piaggio”, University of Pisa; Department of Information Engineering (DII), University of Pisa, Italy.
A. Ahluwalia Research Center “E. Piaggio”, University of Pisa; Department of Information Engineering (DII), University of Pisa; Interuniversity Center for the Promotion of 3R Principles in Teaching and Research (Centro 3R), Pisa, Italy.
C. Magliaro Research Center “E. Piaggio”, University of Pisa; Department of Information Engineering (DII), University of Pisa; Interuniversity Center for the Promotion of 3R Principles in Teaching and Research (Centro 3R), Pisa, Italy.

Not available.

Rights

None

Fabbri, R., Ahluwalia, A., & Magliaro, C. (2023). A computational platform to assess the metabolic-electrophysiological behaviour of neurons cultured in monolayers. Biomedical Science and Engineering, 5(1). https://doi.org/10.4081/bse.227