Wang Huacai, Chen Quanming, Guo Zhenghao, Hu Wei
National Laboratory of Solid State Microstructures, College of Engineering and Applied Sciences, Nanjing University, Nanjing, 210023, China.
Sci Rep. 2024 Sep 2;14(1):20396. doi: 10.1038/s41598-024-71333-2.
Spiral phase contrast imaging alleviates the information load by extracting the geometric features of objects and is one of the most representative branches of instant imaging processing. The self-healing capacity of edge detectors can enhance their robustness to obstacles in practical applications. Here, a self-healing spiral phase contrast imaging scheme is proposed and experimentally demonstrated by a liquid crystal edge detector combining a spiral phase, an axicon phase, and a lens phase. The spiral phase is encoded into a liquid crystal by photopatterning. Self-healing contrast imaging is characterized by a series of edge images of both high-contrast amplitude-type and low-contrast phase-type objects. This work extends the self-healing capacity of these detectors to instant imaging processing and paves the way for optical applications with self-healing features.
螺旋相位对比成像通过提取物体的几何特征减轻了信息负载，是即时成像处理中最具代表性的分支之一。边缘探测器的自修复能力可以增强其在实际应用中对障碍物的鲁棒性。在此，提出了一种自修复螺旋相位对比成像方案，并通过结合螺旋相位、轴棱锥相位和透镜相位的液晶边缘探测器进行了实验验证。通过光图案化将螺旋相位编码到液晶中。自修复对比成像的特点是一系列高对比度幅度型和低对比度相位型物体的边缘图像。这项工作将这些探测器的自修复能力扩展到即时成像处理，并为具有自修复特性的光学应用铺平了道路。
