Opt Lett. 2024 Dec 1;49(23):6733-6736. doi: 10.1364/OL.539475.
A trajectory-tracked, near-infrared autofluorescence imaging guided, biochemical signature-projected needle-type Raman spectroscopy (TNBN-RS) system integrated on a medical cart was developed for rapid wide-field breast tissue stratification. A wide-field (10 × 10 cm) near-infrared autofluorescence (NIRAF) imaging subsystem was developed for gross stratification of breast tissue types based on higher NIRAF intensity associated with breast cancer, followed by projection of NIRAF-identified breast tumor margins onto the tissue of interest with a compact projector. Raman spectra were further acquired from the NIRAF projected regions for confirmed margin assessment using a needle-type Raman probe equipped with color camera-based probe trajectory tracking. The trajectory of the Raman probe and the accompanying RS biochemical signature-based margin assessment were instantly projected. A unique field of view (FOV) calibration method was proposed to calibrate the TNBN-RS FOVs, resulting in a projection accuracy of <2 mm. A graphical user interface (GUI) was developed in C# for system control, real-time processing and display of NIRAF images, Raman spectra, and projection of their results. The performance of the TNBN-RS system was validated on an breast tissue, demonstrating its potential for rapid intraoperative breast tumor margin assessment.
一种基于轨迹跟踪、近红外荧光（NIRAF）自动成像引导、生物化学特征预测的针型拉曼光谱（TNBN-RS）系统，整合在一辆医疗手推车上，用于快速进行宽场乳房组织分层。开发了一个宽场（10×10cm）近红外自动荧光（NIRAF）成像子系统，用于根据与乳腺癌相关的更高 NIRAF 强度对乳房组织类型进行大体分层，然后使用紧凑型投影仪将 NIRAF 识别的乳房肿瘤边界投射到感兴趣的组织上。进一步从 NIRAF 投射区域获取拉曼光谱，使用配备基于彩色相机的探针轨迹跟踪的针型拉曼探针进行确认边界评估。拉曼探针的轨迹和伴随的基于 RS 生化特征的边界评估立即被投射。提出了一种独特的视场（FOV）校准方法来校准 TNBN-RS 的 FOV，投影精度小于 2mm。使用 C#开发了一个图形用户界面（GUI），用于系统控制、实时处理和显示 NIRAF 图像、拉曼光谱以及它们的结果的投射。在乳房组织上验证了 TNBN-RS 系统的性能，展示了其在快速术中乳房肿瘤边界评估中的潜力。
