PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 3, 20260 citationsOpen Access

UKH: A Three-Layer Hybrid Microelectrode Array Architecture for Volumetric Brain Organoid Electrophysiology

View Full Paper
MMetin

Key Points

  • The aim is to design an improved microelectrode array architecture for better access to neurons in brain organoids.
  • Proposed a three-layer microelectrode array comprising high-density surface electrodes, a flexible mesh layer, and a tungsten mini-probe.
  • Outlined a four-phase development roadmap for implementing the architecture.
  • Identified integration with an open-source analysis pipeline.
  • UKH architecture enhances surface coverage and volumetric access compared to traditional methods.
  • Combines multiple electrode modalities for improved neuron interaction in organoid models.

Abstract

Conventional microelectrode array (MEA) platforms for brain organoid electrophysiology are geometrically limited to surface recordings, accessing at most 10–15% of neurons in a 2 mm organoid. Recent advances in 3D MEA design — including self-folding structures, mesh electronics, and circumferential probe arrays — have improved surface coverage but remain fundamentally two-dimensional or fail to achieve simultaneous volumetric access across all depth layers. Here we propose UKH (Three-Layer Hybrid), a conceptual MEA architecture combining three complementary electrode modalities: (K1) a high-density surface MEA (~5,000 electrodes); (K2) a flexible SU-8 mesh layer for in-growth during organogenesis (~100 electrodes); and (K3) a central ultra-flexible tungsten mini-probe (~200 electrodes). All layers are synchronized via PTP hardware clock. We survey the existing 3D MEA landscape, identify the residual gap, propose the UKH architecture, outline a four-phase development roadmap, and describe integration with the open-source Axon analysis pipeline. UKH is a conceptual framework; no prototype has been constructed.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Metin (2026) studied this question.

synapsesocial.com/papers/6a1fc509dee9eb8c0dce6787https://doi.org/10.5281/zenodo.20498736
Ask AI
Helpful
Bookmark
Share
View Full Paper