| Title: |
NeuroNets: Advancing SU-8-Based Flexible Self-Standing Microdevices for 3D Brain Model Interface |
| Authors: |
Lecomte, Aziliz; Laborde, Adrian; Blatche, Marie-Charline; Lecestre, Aurélie; Mathieu, Fabrice; Charlot, Samuel; Larrieu, Guilhem |
| Contributors: |
Équipe Matériaux et Procédés pour la Nanoélectronique (LAAS-MPN); Laboratoire d'analyse et d'architecture des systèmes (LAAS); Université Toulouse Capitole (UT Capitole); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse); Institut National des Sciences Appliquées (INSA)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Institut National des Sciences Appliquées (INSA)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Université Toulouse - Jean Jaurès (UT2J); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Université Toulouse III - Paul Sabatier (UT3); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Université Toulouse Capitole (UT Capitole); Communauté d'universités et établissements de Toulouse (Comue de Toulouse); Service Techniques et Équipements Appliqués à la Microélectronique (LAAS-TEAM); Service Instrumentation Conception Caractérisation (LAAS-I2C); European Project: GA N°101028752,SPHELECTRO |
| Source: |
Micro Nano Engineering Conference 2024 ; https://laas.hal.science/hal-04730814 ; Micro Nano Engineering Conference 2024, Sep 2024, Montpellier, France |
| Publisher Information: |
CCSD |
| Publication Year: |
2024 |
| Collection: |
Université Toulouse III - Paul Sabatier: HAL-UPS |
| Subject Terms: |
[SDV]Life Sciences [q-bio]; [SPI]Engineering Sciences [physics] |
| Subject Geographic: |
Montpellier; France |
| Description: |
National audience ; Neural spheroids and organoids stand as the next-generation in vitro models of the brain, offering a more precise replication of human-specific physiopathologies. To validate the functionality of these emerging 3D biomodels, capturing the maturation of neuronal activity through electrophysiology is imperative. So far, this aspect has been significantly underexplored, frequently constrained to sporadic, invasive and/or destructive testing methodologies. Organoids transferred onto Microelectrode Arrays (MEA) tend to flatten and spread onto the MEA surface, while optical methods such as calcium imaging, are mainly implemented in slices/dissociated organoids due to scattering effect in a 3D sample [1-2]. Self-rolled biosensors and other flexible electronics offer improved contact compared to MEA, but still face challenges accessing the interior of the 3D model [1]. In this sense, recent advancements in mesh electronics are gaining interest in the field to address the limitations imposed by the three-dimensional nature of brain organoids [3]. In this work, we have developped a thin, flexible electronic mesh to be integrated in 3D brain models during early-stage development for prolonged, in-depth monitoring of electrical activity. This microdevice, called NeuroNet, is fabricated through standard process lithography of SU-8 (Fig 1A ), a negative epoxy-based photoresist used in a wide range of biomedical device [4]. It comprises of two layers of 1µm SU-8 patterned in a serpentine shape, with layers of Ti/Au and Pt as contact lines and electrodes/pads, respectively (Fig 1B ). A final thick SU-8 layer on the device periphery enables device handling with tweezers (Fig 1C). To release the devices, we have studied different sacrificial layers before chosing TiW, on the grounds of i) biocompatibility (H2O2 can be washed easily), ii) compatibility with process steps (solvent-compatible, stable up to 125°C), iii) release time ( |
| Document Type: |
conference object |
| Language: |
English |
| Relation: |
info:eu-repo/grantAgreement//GA N°101028752/EU/H2020 MSCA Sphelectro/SPHELECTRO |
| Availability: |
https://laas.hal.science/hal-04730814; https://laas.hal.science/hal-04730814v1/document; https://laas.hal.science/hal-04730814v1/file/ALecomte_AbstractMNE2024_Sphelectro_submitted.pdf |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.1B058CE5 |
| Database: |
BASE |