Injectable Mesh Electronics

Syringe-injectable meshes that unfurl to cover neural volume.
Injectable Mesh Electronics

Injectable mesh electronics are flexible electronic meshes made from biocompatible materials that can be injected into neural tissue via a standard syringe in a compact form, then unfurl and expand to interpenetrate with the surrounding neural tissue, creating a seamless three-dimensional interface that can record from or stimulate many neurons throughout a volume of tissue. This approach allows for seamless integration with minimal immune response because the mesh is flexible and biocompatible, and can provide long-term stability by becoming integrated with the tissue, potentially enabling high-density neural interfaces that are less invasive than traditional rigid electrode arrays.

This innovation addresses the challenge of creating high-density neural interfaces that can access many neurons throughout a volume of tissue, where traditional rigid arrays are limited in their ability to conform to tissue and may cause damage. By using flexible, injectable meshes, this approach could enable better integration and less tissue damage. Research institutions are developing these technologies.

The technology is particularly significant for enabling high-density neural interfaces with better tissue integration, potentially providing better signal quality and long-term stability. As the technology improves, it could enable new applications in neural prosthetics and research. However, ensuring reliable injection and unfurling, managing mesh complexity, and achieving long-term stability remain challenges. The technology represents an innovative approach to neural interfaces, but requires extensive development to achieve the reliability and performance needed for clinical use. Success could enable better neural interfaces with improved tissue integration, but the technology is still early-stage and must prove itself in practical applications.

TRL
3/9Conceptual
Impact
5/5
Investment
3/5
Category
Hardware
Neural interfaces, sensors, and bio-integrated electronics.