ArticleNature biomedical engineering2026
Shape-conformal porous frameworks for full coverage of neural organoids and high-resolution electrophysiology.
Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Three-dimensional microelectrode arrays forBiomedical engineering letters · 2026Review
- Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Sensing, Imaging, and Computation as One: Rethinking Microfluidic Platform Design.Micromachines · 2026Article
- Shape-conformal porous frameworks for full coverage of neural organoids and high-resolution electrophysiology.Nature biomedical engineering · 2026Article
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Authors and funding
30 authors.
Funding
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.
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Registered trials
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