发表机构
University College London; UCL Queen Square Institute of Neurology（伦敦大学学院; 伦敦大学学院奎恩广场神经科学研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过集成激光散斑对比成像升级高光谱成像平台，实现大鼠脊髓氧合、灌注和代谢的同时多模态监测，并验证了其在氧挑战下的动态响应能力。
AI 中文摘要
高光谱成像（HSI）能够对暴露神经组织中血红蛋白氧合和细胞色素c氧化酶（CCO）氧化还原变化进行空间映射。在本研究中，我们通过集成激光散斑对比成像（LSCI）对现有HSI平台进行了技术升级，从而能够在大鼠临床前模型中同时评估暴露脊髓的氧合、氧化代谢、相对灌注以及衍生的相对氧代谢指数。升级后的系统（hNIR+）采用共享光路和单相机，通过顺序采集工作流程从同一视场获取HSI和LSCI图像。高光谱图像在11个离散波长（600、630、665、784、800、818、835、851、868、881和894 nm）处采集，以估计氧合血红蛋白（HbO2）、脱氧血红蛋白（HHb）和氧化型CCO（oxCCO）的变化。LSCI使用632.8 nm相干照明生成相对血流指数（rBFI）图。LSCI子系统通过受控血流体模进行了验证，其中LSCI导出的逆散斑对比指数与泵控流量表现出强正线性关系。随后，升级后的平台在大鼠脊髓常氧、低氧和恢复条件下的概念验证观察中进行了评估。代表性的多模态图和基于感兴趣区域（ROI）的时间过程分析显示，在氧挑战期间HbO2、HHb、oxCCO和rBFI出现清晰的动态响应，这些响应与脊髓在低氧、高氧及随后恢复期间的预期生理反应一致。总体而言，这些结果表明，将LSCI集成到HSI中扩展了该平台，使其能够多模态同时监测血流动力学-代谢耦合。
英文摘要
Hyperspectral imaging (HSI) enables spatial mapping of haemoglobin oxygenation and cytochrome-c-oxidase (CCO) redox changes in exposed neural tissue. In this study, we present a technical upgrade of an existing HSI platform by the integration of laser speckle contrast imaging (LSCI), enabling contemporaneous assessment of oxygenation, oxidative metabolism, relative perfusion and a derived relative oxygen metabolic index in exposed spinal cord in a rat preclinical model. The upgraded system (hNIR+) uses a shared optical path and a single camera to acquire HSI and LSCI images from the same field of view using a sequential acquisition workflow. Hyperspectral images are acquired at 11 discrete wavelengths (600, 630, 665, 784, 800, 818, 835, 851, 868, 881, and 894 nm) to estimate changes in oxygenated haemoglobin (HbO2), deoxygenated haemoglobin (HHb) and oxidized CCO (oxCCO). LSCI is implemented using 632.8-nm coherent illumination to generate relative blood-flow index (rBFI) maps. The LSCI subsystem was validated using a controlled blood-flow phantom, where the LSCI-derived inverse speckle contrast index showed a strong positive linear relationship with pump-controlled flow. The upgraded platform was then evaluated in proof-of-concept observations of the rat spinal cord under normoxia, hypoxia and recovery conditions. Representative multimodal maps and ROI-based time-course analysis showed clear dynamic responses in HbO2, HHb, oxCCO and rBFI during oxygen challenges that were consistent with the expected physiological responses of the spinal cord during hypoxia, hyperoxia and subsequent recoveries. Overall, these results demonstrate that integrating LSCI into HSI extends the platform to multimodal and simultaneous monitoring of haemodynamic-metabolic coupling.
