@article{bibcite_7276, keywords = {Biomedical Engineering, Electrophysiology, Mechanical engineering}, author = {Naijia Liu and Shahrzad Shiravi and Tianqi Jin and Jiaqi Liu and Zhengguang Zhu and Jiying Li and Ingrid Cheung and Haohui Zhang and Yue Wang and Qingyuan Li and Zijie Xu and Liangsong Zeng and Maria Jose Quezada and Andres Villalobos and Yasaman Samei and Shreyaa Khanna and Shuozhen Bao and Mingzheng Wu and Sida Liang and Xu Cheng and Zengyao Lv and Woo-Youl Maeng and Yamin Zhang and Haiwen Luan and Stephen A. Boppart and Yonggang Huang and Yihui Zhang and Colin K. Franz and John D. Finan and John A. Rogers}, title = {Shape-conformal porous frameworks for full coverage of neural organoids and high-resolution electrophysiology}, 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.}, year = {2026}, journal = {Nature Biomedical Engineering}, pages = {1-14}, month = {2026-02-18}, issn = {2157-846X}, url = {https://www.nature.com/articles/s41551-026-01620-y}, doi = {10.1038/s41551-026-01620-y}, language = {en}, }