Shape-conformal porous frameworks for full coverage of neural organoids and high-resolution electrophysiology

Human neural organoids are essential platforms for fundamental and applied research due partly to their complex, three-dimensional neuronal circuit geometries. Standard and recently developed neural interface technologies have shortcomings in their ability to electrically characterize and control neural activity in these systems, owing to their limited accessibility to neuron populations and microelectrode densities. Here we report a shape-matched, soft, three-dimensional mesoscale framework with nearly full surface coverage to neural organoids that supports high channel count interfaces for precision electrophysiology and programmed electrical stimulation. The neural interface is designed via inverse modelling techniques and self-assembles three-dimensionally around the organoids. Three-dimensional reconstruction of neural activities allows high-resolution spatial electrophysiology to reveal network-level characteristics in neural organoids. The porous framework offers options for simultaneous fluorescence imaging, localized optogenetic neuromodulation, longitudinal monitoring, pharmacological evaluations and modelling of neural disease phenotypes, demonstrating broad applicability for studies of human-derived cortical and spinal organoids.

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Publication Details

Journal
Nature Biomedical Engineering
Published
2026-02-18
DOI
https://doi.org/10.1038/s41551-026-01620-y
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
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article

Shape-conformal porous frameworks for full coverage of neural organoids and high-resolution electrophysiology

Maria J. Quezada, Shuozhen Bao, John D. Finan, Tianqi Jin et al.
Nature Biomedical Engineering
Neuroscience and Neural Engineering
article

Shape-conformal porous frameworks for full coverage of neural organoids and high-resolution electrophysiology

Maria J. Quezada, Shuozhen Bao, John D. Finan, Tianqi Jin, Andres Eduardo Lorenzo Villalobos, Qingyuan Li, Naijia Liu, Sida Liang, Liangsong Zeng, Woo-Youl Maeng, Zengyao Lv, Shahrzad Shiravi, Jiaqi Liu, Zijie Xu, Yasaman Samei, Yamin Zhang, Ingrid Cheung, Mingzheng Wu, Xu Cheng, Haohui Zhang, Colin Franz, Yonggang Huang, Jiying Li, John A. Rogers, Yue Wang, Shreyaa Khanna
article en

Abstract

Human neural organoids are essential platforms for fundamental and applied research due partly to their complex, three-dimensional neuronal circuit geometries. Standard and recently developed neural interface technologies have shortcomings in their ability to electrically characterize and control neural activity in these systems, owing to their limited accessibility to neuron populations and microelectrode densities. Here we report a shape-matched, soft, three-dimensional mesoscale framework with nearly full surface coverage to neural organoids that supports high channel count interfaces for precision electrophysiology and programmed electrical stimulation. The neural interface is designed via inverse modelling techniques and self-assembles three-dimensionally around the organoids. Three-dimensional reconstruction of neural activities allows high-resolution spatial electrophysiology to reveal network-level characteristics in neural organoids. The porous framework offers options for simultaneous fluorescence imaging, localized optogenetic neuromodulation, longitudinal monitoring, pharmacological evaluations and modelling of neural disease phenotypes, demonstrating broad applicability for studies of human-derived cortical and spinal organoids.

Nature Biomedical Engineering
Northwestern University (US), Shirley Ryan AbilityLab (US), University of Illinois Urbana-Champaign (US), National University of Singapore (SG), City University of Hong Kong (HK), Yale University (US), University of California San Diego (US), University of Illinois Chicago (US), Northwestern University (PH), Tsinghua University (CN)
Openalex Percentile: Top 53%
Neuroscience and Neural Engineering
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