TY - JOUR
KW - Biomedical Engineering
KW - Electrophysiology
KW - Mechanical engineering
AU - Naijia Liu
AU - Shahrzad Shiravi
AU - Tianqi Jin
AU - Jiaqi Liu
AU - Zhengguang Zhu
AU - Jiying Li
AU - Ingrid Cheung
AU - Haohui Zhang
AU - Yue Wang
AU - Qingyuan Li
AU - Zijie Xu
AU - Liangsong Zeng
AU - Maria Jose Quezada
AU - Andres Villalobos
AU - Yasaman Samei
AU - Shreyaa Khanna
AU - Shuozhen Bao
AU - Mingzheng Wu
AU - Sida Liang
AU - Xu Cheng
AU - Zengyao Lv
AU - Woo-Youl Maeng
AU - Yamin Zhang
AU - Haiwen Luan
AU - Stephen A. Boppart
AU - Yonggang Huang
AU - Yihui Zhang
AU - Colin K. Franz
AU - John D. Finan
AU - John A. Rogers
AB - 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.
BT - Nature Biomedical Engineering
DA - 2026-02-18
DO - 10.1038/s41551-026-01620-y
LA - en
N2 - 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.
PY - 2026
SP - 1
EP - 14
T2 - Nature Biomedical Engineering
TI - Shape-conformal porous frameworks for full coverage of neural organoids and high-resolution electrophysiology
UR - https://www.nature.com/articles/s41551-026-01620-y
Y2 - 2026-03-06
SN - 2157-846X
ER -