Computational modeling of a novel liquid crystal-based optrode

Leonardo Silvestri; Amr Al Abed; Hrishikesh Srinivas; Han Wang; Nigel H. Lovell; Franҫois Ladouceur

doi:10.1117/12.2242866

9 December 2016 Computational modeling of a novel liquid crystal-based optrode

Leonardo Silvestri, Amr Al Abed, Hrishikesh Srinivas, Han Wang, Nigel H. Lovell, Franҫois Ladouceur

Proceedings Volume 10013, SPIE BioPhotonics Australasia; 100130S (2016) https://doi.org/10.1117/12.2242866
Event: SPIE BioPhotonics Australasia, 2016, Adelaide, Australia

Abstract

Multielectrode arrays are a powerful tool for recording biopotentials, however they are limited by issues related to wiring complexity and channel-count. We present a novel concept for a liquid crystal-based optical electrode (optrode) that does not require the electrical circuitry associated with reading and amplifying each channel, thus providing superior spatial resolution and signal-to-noise ratio. Through computational modeling, we show that it is possible to accurately image biopotentials by coupling them to the electrodes of a LC cell and measuring their re ectance under parallel polarisers.

Citation Download Citation

Leonardo Silvestri, Amr Al Abed, Hrishikesh Srinivas, Han Wang, Nigel H. Lovell, and Franҫois Ladouceur "Computational modeling of a novel liquid crystal-based optrode", Proc. SPIE 10013, SPIE BioPhotonics Australasia, 100130S (9 December 2016); https://doi.org/10.1117/12.2242866

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