HermEIS: A Parallel Multichannel Approach to Rapid Spectral Characterization of Neural MEAs

Code

• github.com/adakwaboah/hermeis_iq
  OfficialIn papernone★ 0

Abstract

The promise of increasing channel counts in high density (> 10^4) neural Microelectrode Arrays (MEAs) for high resolution recording comes with the curse of developing faster characterization strategies for concurrent acquisition of multichannel electrode integrities over a wide frequency spectrum. To circumvent the latency associated with the current multiplexed technique for impedance acquisition, it is common practice to resort to the single frequency impedance measurement (i.e. Z_1 kHz). This, however, does not offer sufficient spectral impedance information crucial for determining the capacity of electrodes at withstanding slow and fast-changing stimulus and recordings. In this work, we present HermEIS, a novel approach that leverages single cycle in-phase and quadrature signal integrations for reducing the massive data throughput characteristic of such high density acquisition systems. As an initial proof-of-concept, we demonstrate over 6 decades of impedance bandwidth (510^-2 - 510^4 Hz) in a parallel 4-channel potentiostatic setup composed of a custom PCB with off-the-shelf electronics working in tandem with an FPGA.

Reproductions