The e-Flower: A hydrogel-actuated 3D MEA for brain spheroid electrophysiology
Traditional microelectrode arrays (MEAs) are limited to measuring electrophysiological activity in two dimensions, failing to capture the complexity of three-dimensional (3D) tissues such as neural organoids and spheroids. Here, we introduce a flower-shaped MEA (e-Flower) that can envelop submillimeter brain spheroids following actuation by the sole addition of the cell culture medium. Inspired by soft microgrippers, its actuation mechanism leverages the swelling properties of a polyacrylic acid hydrogel grafted to a polyimide substrate hosting the electrical interconnects. Compatible with standard electrophysiology recording systems, the e-Flower does not require additional equipment or solvents and is ready to use with preformed 3D tissues. We designed an e-Flower achieving a curvature as low as 300 micrometers within minutes, a value tunable by the choice of reswelling media and hydrogel cross-linker concentration. Furthermore, we demonstrate the ability of the e-Flower to detect spontaneous neural activity across the spheroid surface, demonstrating its potential for comprehensive neural signal recording.
Authors
- Outman Akouissi (ORCID: https://orcid.org/0000-0001-9436-294X)
- Stéphanie P. Lacour (ORCID: https://orcid.org/0000-0001-9075-4022)
- Luc Stoppini (ORCID: https://orcid.org/0000-0002-2648-7051)
- Laetitia Nikles
- Eleonora Martinelli (ORCID: https://orcid.org/0009-0000-2995-5167)
- Ivan Furfaro (ORCID: https://orcid.org/0000-0001-6077-3257)
- Adrien Roux (ORCID: https://orcid.org/0000-0001-7618-6129)
- Alain Rémy
- Luca Liebi
- Desirée Maulà (ORCID: https://orcid.org/0009-0007-4378-9039)
- Nathan Savoia
Institutions
- HES-SO University of Applied Sciences and Arts Western Switzerland (CH)
- HES-SO Genève (CH)
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- Science Advances
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1126/sciadv.adp8054
- Citations
- 31
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 8.32
Funders
- Fondation Bertarelli
- European Commission