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Opto-Myomatrix: μLED integrated microelectrode arrays for optogenetic activation and electrical recording in muscle tissue

Lu, J.; Zia, M.; Baig, D. A.; Yan, G.; Kim, J. J.; Nagapudi, K.; Anschutz, P.; Oh, S.; O'Connor, D. H.; Sober, S. J.; Bakir, M. S.

2024-07-04 bioengineering
10.1101/2024.07.01.601601 bioRxiv
Show abstract

ObjectiveOptogenetics is a valuable and widely-used technique that allows precise perturbations of selected groups of cells with high temporal and spatial resolution by using optical systems and genetic engineering technologies. This study aims to develop Opto-Myomatrix, a novel optogenetic tool for precise muscle fiber control and high-resolution electrophysiological recording. MethodBased on a flexible and biocompatible polymer substrate, the device incorporates an integrated {micro}LED that delivers light at 465 nm for optogenetic stimulation and 32 PEDOT:PSS-coated electrodes for electromyography (EMG) recording. We also added a reflector to improve optical power output. ResultsThe fabricated Opto-Myomatrix device achieves an optical output intensity as high as 129.46 mW/mm2 in the direction of interest, which is enhanced by nearly 100%. The PEDOT:PSS-coated electrodes exhibit 85% lower impedance than uncoated contacts, enabling high signal-to-noise EMG acquisition. We investigated heat dissipation characteristics of the {micro}LED through measurements and finite element simulations, confirming that temperature changes remain within safe limits. The Opto-Myomatrix device was implanted in transgenetic mice and successfully stimulated targeted jaw muscles, inducing movement while simultaneously capturing EMG signals. ConclusionThe Opto-Myomatrix effectively combines precise optical stimulation and high-quality EMG recording in a flexible and biocompatible device, focusing on optogenetic applications in muscle. SignificanceWhile optogenetic tools are well-established for brain and central nervous system (CNS) research, the development of Opto-Myomatrix addresses a critical gap by enabling precise muscle fiber control and high-resolution recording for advancing neuromuscular studies.

Published in IEEE Transactions on Biomedical Engineering (predicted rank #15) · training set

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