Fast selective edge-enhanced imaging with topological chiral lamellar superstructures  

作　　者：Wen Chen Dong Zhu Si-Jia Liu Yi-Heng Zhang Lin Zhu Chao-Yi Li Shi-Jun Ge Peng Chen Wan-Long Zhang Xiao-Cong Yuan Yan-Qing Lu 

机构地区：[1]National Laboratory of Solid State Microstructures,Key Laboratory of Intelligent Optical Sensing and Manipulation,College of Engineering and Applied Sciences,and Collaborative Innovation Center of Advanced Microstructures,Nanjing University,Nanjing 210093,China [2]Nanophotonics Research Center,Institute of Microscale Optoelectronics,Shenzhen University,Shenzhen 518060,China

出　　处：《National Science Review》2024年第11期209-218,共10页国家科学评论（英文版）

基　　金：supported by the National Key R&D Program of China(2021YFA1202000 and 2022YFA1405000);the National Natural Science Foundation of China(62222507,62175101,61935013,62005180 and 12004175);the Innovation Program for Quantum Science and Technology(2021ZD0301500);the Natural Science Foundation of Jiangsu Province(BK20212004).

摘　　要：Edge detection is a fundamental operation for feature extraction in image processing.The all-optical method has aroused growing interest owing to its ultra-fast speed,low energy consumption and parallel computation.However,current optical edge detection methods are generally limited to static devices and fixed functionality.Herein,we propose a fast-switchable scheme based on a ferroelectric liquid crystal topological structure.The self-assembled chiral lamellar superstructure,directed by the azimuthally variant photo-alignment agent,can be dynamically controlled by the polarity of the external electric field and respectively generates the vector beams with nearly orthogonal polarization distribution.Even after thousands of cycles,the horizontal and vertical edges of the object are selectively enhanced with an ultra-fast switching time of-57μs.Broadband edge-enhanced imaging is efficiently demonstrated.This work extends the ingenious building of topological heliconical superstructures and offers an important glimpse into their potential in the emerging frontiers of optical computing for artificial intelligence.

关 键 词：edge detection ferroelectric liquid crystal topological structure vector beam fast response 

分 类 号：O469[理学—凝聚态物理]