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  • 主办单位:
    中国光学工程学会清华大学上海理工大学
  • 名誉主编: 庄松林 院士
  • 国际主编: 顾敏 院士
  • 主       编:
    孙洪波 教授仇旻 教授
  • 创       刊:2020年3月
  • ISSN:2662-1991
最新上线
High-speed optical coherence manipulation based on lithium niobate films modulator
Xinlei Zhu, Fengchao Ni, Haigang Liu, Jiayi Yu, Fei Wang, Ya Cheng, Xianfeng Chen, Yangjian Cai
 doi: 10.1186/s43074-025-00176-5
Abstract(0) PDF(0)
Abstract:
Research on the optical coherence manipulation has made significant progress, but the modulation rate of conventional tailoring technology is too low, which has become a key factor hindering its transition from laboratory to practical application. Here, we utilize lithium niobate films (LNF) modulator to achieve high-speed optical coherence manipulation based on its high-speed electro-optical modulation capability. Our experimental modulation rate reaches 350 kHz, which is about 20 times higher than the fastest modulation rate reported so far. This design strategy provides a simple rule for high-speed optical coherence manipulation based on electrooptical modulation, paving the way for further practical applications of optical coherence manipulation technology.
Ultrafast modulation of second harmonic waves through polarization selective interferometric autocorrelation
Heng Wang, Kingfai Li, Zixian Hu, Qichang Ma, Xinmou Lu, Jiaming Huang, Hoilam Tam, Junhong Deng, Guixin Li
 doi: 10.1186/s43074-025-00175-6
Abstract(0) PDF(0)
Abstract:
Ultrafast modulation of light is of great importance in optical communications, optical spectroscopy, precision measurement and so on. To achieve better modulation performance, various materials platforms including photonic crystals, two-dimensional materials and plasmonic metasurfaces have been extensively explored. In this work, we demonstrate that a thin β-BaB2O4 which has wide band transparence and large nonlinear coefficient can be used to realize ultrafast modulation of second harmonic waves (SHWs). Under the pumping of two femtosecond laser pulses with perpendicular polarizations and variable time delay, the modulation of SHWs exhibits either slow or fast varying characteristics by using the concept of polarization selective interferometric autocorrelation. Interestingly, these two kinds of modulation behaviors depend on the real and imaginary parts of the pulse-width parameter of the chirped laser pulse. The observed physical mechanism is then utilized to generate and modulate the SHWs carrying orbital angular momentum. The proposed strategy in this work may have important applications in parallel ultrafast optical information processing and optical computing.
Scalable high-efficiency metasurface-refractive retro-reflector
Quan Yuan, Qin Ge, Xiujuan Zou, Yi Zhang, Yuhang Yang, Boyan Fu, Ruoyu Lin, Boping He, Shuming Wang, Din Ping Tsai, Shining Zhu, Zhenlin Wang
 doi: 10.1186/s43074-025-00172-9
Abstract(43) PDF(1)
Abstract:
A retroreflector, an optical device that reflects light back along its incident path, plays a crucial role in optics. However, achieving high-efficiency, large-area retroreflection in planar optical systems remains a persistent challenge, constrained by the bulky nature of traditional designs like corner cube mirrors and cat’s eye retroreflectors. Here, we demonstrate a scalable metasurface-refractive retroreflector (MRR) that combines a refractive lens and meta-lens, achieving polarization-independent retroreflection with a half power field of view (FOV) of 70° and 88.5% efficiency at normal incident. The scalability of the MRR enables straightforward planar expansion into arrays, facilitating large-area effective retroreflection. Additionally, a moving object equipped with MRR is observed in a laser tracking experiment. The metasurface-refractive architecture evidently improves the functionality of the retroreflector, and paves a new path in the field of smart optical device design.
Ensemble deep learning-enabled single-shot composite structured illumination microscopy (eDL-cSIM)
Jiaming Qian, Chunyao Wang, Hongjun Wu, Qian Chen, Chao Zuo
 doi: 10.1186/s43074-025-00171-w
Abstract(64) PDF(6)
Abstract:
Structured illumination microscopy (SIM) has emerged as a powerful super-resolution technique for studying protein dynamics in live cells thanks to its wide-field imaging mode and high photon efficiency. However, conventional SIM requires at least nine raw images to achieve super-resolution reconstruction, which limits its imaging speed and increases susceptibility to rapid sample dynamics. Moreover, the reliance of SIM on illumination parameters and algorithmic post-processing renders it vulnerable to reconstruction artifacts, especially at low signal-to-noise ratios. In this work, we propose a single-shot composite structured illumination microscopy method using ensemble deep learning (eDL-cSIM). Without modifying the original SIM setup, eDL-cSIM employs only one composite structured illumination pattern generated by 6-beam interferometry. The resultant composite-coded raw image, which contains multiplexed high-frequency spectral information beyond the diffraction limit, is further processed using ensemble deep learning to predict a high-quality, artifact-free super-resolved image. Experimental results demonstrate that eDL-cSIM integrates the advantages of various state-of-the-art neural networks, enabling robust super-resolution image predictions across different specimen types or structures of interest, and outperforms classical physics-driven methods in terms of imaging speed, reconstruction quality and environmental robustness, while avoiding intricate and specialized algorithmic procedures. These collective advantages make eDL-cSIM a promising tool for fast and robust live-cell super-resolution microscopy with significantly reduced phototoxicity and photobleaching.