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

Authors

  • R. Fabbri Research Center “E. Piaggio”, University of Pisa; Department of Information Engineering (DII), University of Pisa
  • 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
  • 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

DOI:

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

Abstract

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Published

17-11-2023

Issue

Vol. 5 No. 1 (2024)

Section

Original Articles

License

Copyright (c) 2023 the Author(s)

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.

How to Cite

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