Wayne Michael A, Sie Edbert J, Ulku Arin C, Mos Paul, Ardelean Andrei, Marsili Francesco, Bruschini Claudio, Charbon Edoardo
Advanced Quantum Architecture Laboratory, École polytechnique fédérale de Lausanne, Rue de la Maladière 71B, Neuchatel, NE 2000, Switzerland.
Reality Labs Research, Meta Platforms Inc., Menlo Park, CA 94025, USA.
Biomed Opt Express. 2023 Jan 9;14(2):703-713. doi: 10.1364/BOE.473992. eCollection 2023 Feb 1.
Diffuse correlation spectroscopy (DCS) is a promising noninvasive technique for monitoring cerebral blood flow and measuring cortex functional activation tasks. Taking multiple parallel measurements has been shown to increase sensitivity, but is not easily scalable with discrete optical detectors. Here we show that with a large 500 × 500 SPAD array and an advanced FPGA design, we achieve an SNR gain of almost 500 over single-pixel mDCS performance. The system can also be reconfigured to sacrifice SNR to decrease correlation bin width, with 400 ns resolution being demonstrated over 8000 pixels.
扩散相关光谱学(DCS)是一种很有前景的无创技术,用于监测脑血流量和测量皮层功能激活任务。已表明进行多次并行测量可提高灵敏度,但使用离散光学探测器时不易扩展规模。在此我们展示,通过一个大型500×500单光子雪崩二极管(SPAD)阵列和先进的现场可编程门阵列(FPGA)设计,我们实现了比单像素微扩散相关光谱学(mDCS)性能高出近500倍的信噪比(SNR)增益。该系统还可重新配置,以牺牲SNR为代价来减小相关箱宽度,在8000像素上展示出了400纳秒的分辨率。