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MAESTROS: A multi-wavelength time domain NIRS system to monitor changes in oxygenation and oxidation state of cytochrome-c-oxidase
IEEE Journal of Selected Topics in Quantum Electronics ( IF 4.3 ) Pub Date : 2019-01-01 , DOI: 10.1109/jstqe.2018.2833205
Frederic Lange 1 , Luke Dunne 1 , Lucy Hale 2, 3 , Ilias Tachtsidis 1
Affiliation  

We present a multiwavelength, multichannel, time-domain near-infrared spectroscopy system named MAESTROS. This instrument can measure absorption and scattering coefficients and can quantify the concentrations of oxy- and deoxy-haemoglobin ([HbO2], [HHb]), and oxidation state of cytochrome-c-oxidase ([oxCCO]). This system is composed of a supercontinuum laser source coupled with two acousto-optic tuneable filters. The light is collected by four photomultipliers tubes, connected to a router to redirect the signal to a single time-correlated single-photon counting card. The interface between the system and the tissue is based on optical fibres. This arrangement allows us to resolve up to 16 wavelengths, within the range of 650–900 nm, at a sampling rate compatible with the physiology (from 0.5 to 2 Hz). In this paper, we describe the system and assess its performance based on two specifically designed protocols for photon migration instruments, the basic instrument protocol and nEUROPt protocols, and on a well characterized liquid phantom based on Intralipid and water. Then, the ability to resolve [HbO2 ], [HHb], and [oxCCO] is demonstrated on a homogeneous liquid phantom, based on blood for [HbO2], [HHb], and yeast for [oxCCO]. In the future, the system could be used to monitor brain tissue physiology.

中文翻译:

MAESTROS:一种多波长时域近红外光谱系统,用于监测细胞色素-c-氧化酶的氧合和氧化状态的变化

我们提出了一种名为 MAESTROS 的多波长、多通道、时域近红外光谱系统。该仪器可以测量吸收和散射系数,并可以量化氧合和脱氧血红蛋白([HbO2]、[HHb])的浓度以及细胞色素-c-氧化酶([oxCCO])的氧化态。该系统由一个超连续谱激光源和两个声光可调滤波器组成。光由四个光电倍增管收集,连接到路由器以将信号重定向到单个时间相关的单光子计数卡。系统和组织之间的界面基于光纤。这种安排使我们能够以与生理学兼容的采样率(从 0.5 到 2 Hz)解析多达 16 个波长,范围为 650-900 nm。在本文中,我们根据两个专门设计的光子迁移仪器协议(基本仪器协议和 nEUROPt 协议)以及基于 Intralipid 和水的充分表征的液体体模来描述该系统并评估其性能。然后,基于血液的 [HbO2]、[HHb] 和酵母的 [oxCCO],在均质液体模型上证明了解析 [HbO2]、[HHb] 和 [oxCCO] 的能力。将来,该系统可用于监测脑组织生理学。和酵母[oxCCO]。将来,该系统可用于监测脑组织生理学。和酵母[oxCCO]。将来,该系统可用于监测脑组织生理学。
更新日期:2019-01-01
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