亚特拉斯:一个大型阵列,芯片内计算的SPAD摄像头,用于多光扩散相关性光谱学
Alistair Gorman1, Neil Finlayson1, Ahmet T Erdogan1
1Institute for Integrated Micro and Nano Systems, School of Engineering, University of Edinburgh, Edinburgh, UK.
Biomedical optics express
|November 18, 2024
概括
亚特拉斯传感器可以实时进行芯片上的计算,用于单光子相关谱. 这项技术适用于组织动态的in-vivo扩散相关谱 (DCS) 测量.
科学领域:
- 光子学是指光子学的使用方法.
- 生物医学工程 生物医学工程
- 集成电路 集成电路
背景情况:
- 单光子雪崩二极管 (SPAD) 阵列对于光学传感至关重要.
- 扩散相关谱学 (DCS) 需要有效计算自相关函数.
- 现有的DCS方法可能是计算密集型,缺乏实时处理能力.
研究的目的:
- 介绍ATLAS,一个具有嵌入式自相对应计算的新型512x512 SPAD数组.
- 为了实现实时的芯片处理,用于单光子相关性光谱应用.
- 为了证明ATLAS适用于in-vivo扩散相关谱 (DCS) 测量的适用性.
主要方法:
- 使用3D堆叠CMOS技术实现512x512 SPAD阵列.
- 开发一个共享的每宏像素SRAM架构,用于并行自相对应计算.
- 使用最小的自相对应滞后时间为1μs,以获得高时间分辨率.
主要成果:
- 在芯片上直接计算自相关函数的演示.
- 在实时的身体组织中成功解决脱节关系时间变化.
- 实现了长的源探测器分离,与用于大脑血流监测的领先光学模式相提并论.
结论:
- 亚特拉斯传感器促进了实时,芯片上的DCS测量.
- 该系统已被验证用于体内测量,包括袖口闭塞和额头心脏信号.
- 亚特拉斯显示了促进组织动态和血流的非侵入性监测的巨大潜力.
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