Research data supporting "Development of a blood oxygenation phantom for photoacoustic tomography combined with online pO2 detection and flow spectrometry"

Photoacoustic tomography (PAT) is intrinsically sensitive to blood oxygen saturation (sO2) in vivo. However, making accurate sO2 measurements without knowledge of tissue- and instrumentation-related correction factors is extremely challenging. We have developed a low-cost flow phantom to facilitate validation of PAT systems. The full data set and analysis code is available via the GitHub link. Scanned lab notebooks in PDF format demonstrate further experimental details.

光声层析成像（Photoacoustic Tomography, PAT）本征上对活体中的血氧饱和度（blood oxygen saturation, sO2）具有敏感性。然而，若不掌握与组织及仪器相关的校正因子相关信息，实现精准的血氧饱和度测量极具挑战性。我们研发了一款低成本流动体模，以助力光声层析成像系统的验证工作。完整数据集与分析代码可通过该GitHub链接获取。扫描得到的PDF格式实验记录本可进一步展示实验细节。