A MEMS-based optical scanning system for precise, high-speed neural interfacing
Cem Yalcin, Nathan Tessema Ersaro, M. Meraj Ghanbari, George, Bocchetti, Sina Faraji Alamouti, Nick Antipa, Daniel Lopez, Nicolas C., P\'egard, Laura Waller, Rikky Muller

TL;DR
This paper introduces a MEMS-based optical scanning system with a novel varifocal mirror and custom ASIC, achieving high-speed, high-precision neural interfacing with rapid depth scanning over 12 kHz.
Contribution
The work presents a new MEMS micromirror array and ASIC driver that enable fast, efficient, and precise optical neural interfaces surpassing existing speed and flexibility limitations.
Findings
Achieved over 12 kHz refresh rate for depth scanning
Demonstrated 22 resolvable depth planes
Maintained high diffraction efficiency
Abstract
Optical scanning is a prevalent technique for optical neural interfaces where light delivery with high spatial and temporal precision is desired. However, due to the sequential nature of point-scanning techniques, the settling time of optical modulators is a major bottleneck for throughput and limits random-access targeting capabilities. While fast lateral scanners exist, commercially available varifocal elements are constrained to >3ms settling times, limiting the speed of the overall system to hundreds of Hz. Faster focusing methods exist but cannot combine fast operation and dwelling capability with electrical and optical efficiency. Here, we present a varifocal mirror comprised of an array of piston-motion MEMS micromirrors and a custom driver ASIC, offering fast operation with dwelling capability while maintaining high diffraction efficiency. The ASIC features a reconfigurable…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Advanced Memory and Neural Computing · Photoreceptor and optogenetics research
