Year: 2025
Type: article
Abstract: applications of HD-MEAs. Thereafter, we will cover analytical techniques that are essential for analyzing and characterizing HD-MEA data. Finally, we will address current limitations of HD-MEAs and discuss potential future developments.
Source: Lab on a Chip
DOI: 10.1039/d5lc00058k
Institution: ETH Zurich
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Awards: G1213431238, G149481408, Deciphering Neuronal Networks: Advancing Technology and Model Systems, Functional subtype patterning of human GABAergic interneurons, Large-chamber high-resolution field-emission scanning electron microscope and focused ion beam system, PREdicting biomarkers in DYsTonia: defining the paradigm of monogenic dystonia to implement the diagnosis and prognosis of undiagnosed forms, Restoring high-resolution vision using optogenetics, G4666377097, G584410066
OpenAlex ID: W4413776939
