可重新配置的VCSEL硬件加速,多通道,适应性温度控制平台,用于高密度fNIRS/DOT
Qiao He1,2, Yunjia Xia2, Xuhao Zhang1
1The Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China.
Biomedical optics express
|July 18, 2025
概括
使用现场可编程门阵列 (FPGA) 的新硬件平台精确控制了许多垂直腔表面发射激光器 (VCSEL) 的温度. 这提高了可穿戴神经成像设备的准确性和可靠性,例如功能近红外光谱 (fNIRS) 和扩散光学断层扫描 (DOT).
科学领域:
- 神经成像技术的神经成像技术
- 光学工程的光学工程.
- 硬件加速器的硬件加速器
背景情况:
- 功能近红外光谱 (fNIRS) 和扩散光学断层扫描 (DOT) 是先进的非侵入性神经成像技术.
- 下一代高密度fNIRS/DOT系统需要对紧的光源进行精确的温度控制,例如垂直腔表面发射激光器 (VCSEL).
- VCSEL的性能对温度敏感,导致神经成像数据的漂移和不准确;传统的控制方法缺乏可扩展性和计算资源.
研究的目的:
- 为高密度VCSEL阵列开发一个可重新配置,硬件加速的温度控制平台.
- 解决传统温度控制方法在计算资源和fNIRS/DOT系统的可扩展性方面的局限性.
- 为了提高VCSEL驱动的可穿戴高密度fNIRS/DOT设备的热稳定性和可靠性.
主要方法:
- 设计了一个异质的ZYNQ-7000现场可编程网关阵列 (FPGA) 平台.
- 在可编程逻辑 (PL) 中集成了一个实时比例积分导数 (PID) 算法,用于精确的温度调节.
- 该平台经过实验验证,其能够同时控制100多个VCSEL,同时使用较低的资源.
主要成果:
- 该平台实现了精确的温度调节,误差幅度为±0.01°C.
- 超过100个VCSEL的同时温度控制被证明是低资源利用的.
- 可重新配置的架构可确保对实时的大型通道数量进行高效的并行控制.
结论:
- 拟议的基于FPGA的平台显著提高了VCSEL驱动的fnirs/dot系统的可靠性和可扩展性.
- 它为高密度,热稳定的光源配置建立了一个强大的热控制框架.
- 这一进步改善了基于VCSEL的可穿戴神经成像设备,并支持未来的功能扩展.
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