A regularized optimization approach for optogenetic stimulation using ferroelectric SLMs

Dimitris Ampeliotis; Christina (Tanya) Politi; Aggeliki Anastasiou; Dimitris Alexandropoulos

doi:10.1117/12.2599865

14 September 2021 A regularized optimization approach for optogenetic stimulation using ferroelectric SLMs

Dimitris Ampeliotis, Christina (Tanya) Politi, Aggeliki Anastasiou, Dimitris Alexandropoulos

Proceedings Volume 11875, Computational Optics 2021; 1187508 (2021) https://doi.org/10.1117/12.2599865
Event: SPIE Optical Systems Design, 2021, Online Only

Abstract

In this work, the problem of designing proper Phase-Shifting Masks (PSMs) suitable for optogenetic applications is considered. In such applications, structured light is used to stimulate neurons or groups of neurons while short-term excitation is required to study the dynamics of the neuronal activity. In practice, such fast response times can be achieved only via the use of ferroelectric Spatial Light Modulators (fSLMs) that posses significantly smaller response times as compared to the, more common, liquid crystal based SLMs. However, typical fSLMs are restricted to using only a small number of discrete phase levels. To this end, we propose a regularized cost function for Phase-Shifting Mask design, that promotes phases in a discrete phase set. Significantly higher Peak Signal-to-Noise Ratio (PSNR) is achieved by the proposed approach, as compared to other approaches.

Conference Presentation

Citation Download Citation

Dimitris Ampeliotis, Christina (Tanya) Politi, Aggeliki Anastasiou, and Dimitris Alexandropoulos "A regularized optimization approach for optogenetic stimulation using ferroelectric SLMs", Proc. SPIE 11875, Computational Optics 2021, 1187508 (14 September 2021); https://doi.org/10.1117/12.2599865

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