论文标题
时间域特征提取，用于光声遥感显微镜中目标特异性
Time-domain feature extraction for target-specificity in Photoacoustic Remote Sensing Microscopy
论文作者
论文摘要
光声遥感（PARS）显微镜是一种新兴标签的无标签光吸收成像方式。 PARS通过捕获光声压力产生的纳秒尺度光学扰动。这些时间域（TD）调制通常通过振幅预测以确定吸收幅度。但是，有关目标材料属性的重要信息包含在TD信号中。这项工作提出了一种新型的聚类方法，以学习与潜在的生物分子特征相关的TD特征。该技术确定了与成分生物分子有关的特征，从而实现了单一的虚拟组织标记。产生了组织的色彩可视化，突出了特定的组织成分。这在新鲜切除的鼠脑组织上证明了这一点，这些结构明显辨别结构，包括髓鞘和无髓神经元（白质和灰质）以及核结构。
Photoacoustic Remote Sensing (PARS) microscopy is an emerging label-free optical absorption imaging modality. PARS operates by capturing nanosecond-scale optical perturbations generated by photoacoustic pressures. These time-domain (TD) modulations are usually projected by amplitude to determine absorption magnitude. However, significant information on the target's material properties is contained within the TD signals. This work proposes a novel clustering method to learn TD features which relate to underlying biomolecule characteristics. This technique identifies features related to constituent biomolecules, enabling single-acquisition virtual tissue labelling. Colorized visualizations of tissue are produced, highlighting specific tissue components. This is demonstrated on freshly resected murine brain tissue, clearly discerning structures including myelinated and unmyelinated neurons (white and gray matter) and nuclear structures.
