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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
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Modulation of ultrafast soliton molecules enabled by plasmonic metafibers
Chenxi Zhang, Zuxi Ouyang, Yunyu Lyu, Bo Fu, Lei Zhang, Min Qiu
 doi: 10.1186/s43074-025-00205-3
Abstract(0) PDF(0)
Abstract:
Soliton molecules (SMs) are bound states of two or more fundamental solitons arising from the balance between nonlinear interactions and dispersion effects. SMs are the focus of intense research and have sparked numerous applications in optical communication, including coding, storage, and exchange. However, it remains challenging to experimentally produce SMs with the required pulse number and temporal separation in mode-locked fiber lasers owning to the gap between the theoretical prediction and the experimental results. Here, we achieve controllable output of SMs by utilizing a plasmonic metafiber and external manipulation techniques. Plasmonic metafibers with superior nonlinear performance are used as saturable absorbers to realize soliton mode-locking operation with femtosecond pulse duration. Regulation of pump power and polarization enables switching of pulse number from one to five and temporal separation from 4 ps to 10 ps, respectively. An analytical model based on the nonlinear Schrödinger equation is well established, effectively bridging the gap between experimental results and theoretical predictions. Our results shed light on the understanding of the formation mechanism, transport properties, and free regulation of SMs.
Adaptive infrared thermal camouflage of multi-layer PCMs devices via laser-electric co-modulation driven by neural network
Kailin Zhao, Qin Guo, Lan Jiang, Yansong Zhang, Shuhui Jiao, Jie Hu, Qian Cheng, Xun Cao, Weina Han
 doi: 10.1186/s43074-025-00199-y
Abstract(22) PDF(1)
Abstract:
Infrared thermal camouflage technologies are vital for enhancing the survivability of objects by altering their infrared radiation properties. However, existing solutions often fall short in adaptability and rapid responsiveness to dynamic environmental conditions, limiting their practical applicability. To overcome these challenges, we present an innovative approach combining ultrafast laser-induced non-volatile phase-change Ge2Sb2Te5 (GST) voxel-crystallized units with electrically tunable volatile VO2 layers. This integration enables precise, continuous control of infrared emissivity across a wide range of 0.14 to 0.98, effectively encompassing the emissivity of most materials. A neural network-based closed-loop system is employed for sensing, intelligent decision-making, and execution, achieving real-time thermal radiation matching between the target and its environment with a response speed of 3 °C/s and an accuracy of ± 1 °C. This strategy significantly enhances the adaptability of thermal camouflage in complex environments, paving the way for practical, dynamic thermal stealth applications.
Second-level high-speed 3D isotropic imaging of whole mouse brain using deep-learning spinning-disk light-sheet microscopy
Fang Zhao, Junyu Ping, Xingyu Chen, Yuyi Wang, Zhaofei Wang, Jingtan Zhu, Chaoliang Ye, Yuan Wang, Man Jiang, Dan Zhu, Fenghe Zhong, Yuxuan Zhao, Peng Fei
 doi: 10.1186/s43074-025-00200-8
Abstract(19) PDF(1)
Abstract:
Axially-swept light-sheet microscopy (ASLM) has emerged as a distinguished tool for 3D imaging owing to its excellent spatial resolution. However, the acquisition time is significantly elongated due to the extra time consumed in axial scanning. Meanwhile, the spatial information provided in a single scan is fundamentally limited by the compromise between field-of-view and resolution. The overall inadequate optical throughput of current ASLM techniques impedes their widespread application in acquiring large samples. Here we demonstrate a spinning-disk-based ASLM (SDLM) approach that enables wide field-of-view (15 × confocal range of the gaussian beam), isotropic 3D imaging of large organisms at 100 Hz full camera frame rate. In addition to the new optical design, we combine a recurrent neural network image restoration model to further improve the resolution of raw images. We demonstrate seconds scale stitching-free 3D imaging of the entire mouse brain (~ 9*8*5 mm size) at isotropic single-cell resolution (1.5 µm voxel). With the high-quality data readily obtained by our approach, we also demonstrate the visualization of long projecting neurons and two genotypes of whole mouse brain cell profiling across the 3D space. Further transformation into in vivo research would broaden the application of SDLM.
Harnessing forward scattering effect for high dynamic imaging
Minda Qiao, Yuhan Zhang, Haodong Yang, Linge Bai, Xue Dong, Tong Zhang, Jinpeng Liu, Fei Liu, Sylvain Gigan, Xiaopeng Shao
 doi: 10.1186/s43074-025-00202-6
Abstract(21) PDF(1)
Abstract:
Imaging scenes with a high dynamic range (HDR) of light intensities is critical for applications such as biomedical imaging, astronomical observation, and industrial automation, where accurate detection of both bright and dark regions is essential for precise analysis and decision-making. In this paper, we propose an HDR imaging approach harnessing optical forward scattering effect that breaks the limitations of image processing type. Our approach integrates a nonlinear deconvolution method based on speckle background noise estimation, along with Cross-correlation and Laplacian pyramid fusion method, to improve imaging precision and adaptability. By utilizing a digital micromirror device and a scattering diffuser, we develop a proof-of-concept experimental system, validating the effectiveness of reconstruction of faint details in HDR scenes. This method achieves dynamic range expansion from a 130.01 dB HDR scene using a detector with an 88.5 dB dynamic range, achieving a 119-fold intensity difference. Our work demonstrates a promising new solution for HDR imaging in demanding lighting environments, which could expand the scope of photoelectronic imaging application.
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Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement
Yan Peng, Chenjun Shi, Yiming Zhu, Min Gu, Songlin Zhuang
2020, 1(1).    doi: 10.1186/s43074-020-00011-z
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Recent advances in multi-dimensional metasurfaces holographic technologies
Ruizhe Zhao, Lingling Huang, Yongtian Wang
2020, 1(1).    doi: 10.1186/s43074-020-00020-y
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Information Metamaterials: bridging the physical world and digital world
Qian Ma, Tie Jun Cui
2020, 1(1).    doi: 10.1186/s43074-020-00006-w
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Vacuum-ultraviolet photodetectors
Lemin Jia, Wei Zheng, Feng Huang
2020, 1(1).    doi: 10.1186/s43074-020-00022-w
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