Growing neural networks on gold surface plasmon resonance imaging sensors

Abstract

Surface plasmon resonance (SPR) is sensitive to changes of refractive index at a metal-dielectric interface. This technique has been applied to image networks of neurons non-invasively. The long term survival of active neural networks on SPR sensors requires optimisation of both the cell culture and the surface chemistry to ensure neurons adhere and grow uniformly.