Original Articles
17 November 2023
Vol. 5 No. 1 (2024)
https://doi.org/10.4081/bse.227
0
0
0
0
Smart Citations
0
0
0
0
Citing PublicationsSupportingMentioningContrasting
View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

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, 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.

Altmetrics

Downloads

Citations

Crossref
0
Scopus
0
Google Scholar
Europe PMC

Rights

None

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
Copyright (c) 2023 the Author(s) Creative Commons License

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.