Zhao Jian, Peysokhan Mostafa, Antonio-Lopez Jose Enrique, Sun Yangyang, Abaie Behnam, Mafi Arash, Amezcua Correa Rodrigo, Pang Shuo, Schülzgen Axel
Appl Opt. 2019 May 1;58(13):D50-D60. doi: 10.1364/AO.58.000D50.
In this paper, we review recent progress in disordered optical fiber featuring transverse Anderson localization and its applications for imaging. Anderson localizing optical fiber has a transversely random but longitudinally uniform refractive index profile. The strong scattering from the transversely disordered refractive index profiles generates thousands of guiding modes that are spatially isolated and mainly demonstrate single-mode properties. By making use of these beam transmission channels, robust and high-fidelity imaging transport can be realized. The first disordered optical fiber of this type, the polymer Anderson localizing optical fiber, has been utilized to demonstrate better imaging performance than some of the commercial multicore fibers within a few centimeters transmission distance. To obtain longer transmission lengths and better imaging qualities, glass-air disordered optical fibers are desirable due to their lower loss and larger refractive index contrast. Recently developed high air-filling fraction glass-air disordered fiber can provide bending-independent and high-quality image transport through a meter-long transmission distance. By integrating a deep-learning algorithm with glass-air disordered fiber, a fully flexible, artifact-free, and lensless fiber imaging system is demonstrated, with potential benefits for biomedical and clinical applications. Future research will focus on optimizing structural parameters of disordered optical fiber as well as developing more efficient deep-learning algorithms to further improve the imaging performance.
在本文中,我们回顾了具有横向安德森局域化特性的无序光纤的最新进展及其成像应用。安德森局域化光纤具有横向随机但纵向均匀的折射率分布。横向无序折射率分布产生的强散射会生成数千个空间隔离且主要表现出单模特性的导模。通过利用这些光束传输通道,可以实现稳健且高保真的成像传输。这种类型的第一根无序光纤,即聚合物安德森局域化光纤,已被用于在几厘米的传输距离内展示出比一些商用多芯光纤更好的成像性能。为了获得更长的传输长度和更好的成像质量,玻璃 - 空气无序光纤因其更低的损耗和更大的折射率对比度而备受青睐。最近开发的高气填充率玻璃 - 空气无序光纤能够在一米长的传输距离内提供与弯曲无关的高质量图像传输。通过将深度学习算法与玻璃 - 空气无序光纤相结合,展示了一种完全灵活、无伪影且无透镜的光纤成像系统,这对生物医学和临床应用具有潜在益处。未来的研究将集中在优化无序光纤的结构参数以及开发更高效的深度学习算法,以进一步提高成像性能。