2025----西安光学精密机械研究所图书馆

2025

Record 37 of

Title:Effect of Multi-dressing quantization on three-mode quantum squeezing in Nature Non-Hermitian atomic Ensemble

Author Full Names:Huang, Cheng(1,2,3); Wei, Jiajia(1); Zhuang, Rui(1); Yang, Qinyue(1); Liu, Ziyang(1); Feng, Fang(1,2,3); Zhu, Xiangping(2,3); Zhao, Wei(2,3); Cai, Yin(1); Zhang, Yanpeng(1)
Source Title:Optics and Laser Technology
Language:English
Document Type:Journal article (JA)
Abstract:This paper reports the three-mode quantum squeezing generated in the four-wave mixing process of dressing field coupled energy level transitions in single 85Rb vapor. Based on the natural non-Hermitian atomic coherence, the effect of the dressing field on nonlinear gain and quantum squeezing is studied, revealing that when the Rabi frequency of the dressing field is dominant, the dressing field has the advantage of weakening the nonlinear gain of the system but enhancing the three-mode quantum squeezing. However, when the de-phase rate of energy level is dominant, the dressing field has the advantage of enhancing the nonlinear gain characteristics even though the three-mode quantum squeezing is relatively weakened. It can be used for quantum information processing and development of quantum memory devices with enhanced sensitivity in the future. © 2024 Elsevier Ltd
Affiliations:(1) Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Shaanxi Key Lab of Information Photonic Technique, School of Electronic Science and Engineering, Xi'an Jiaotong University, Shaanxi, Xi'an; 710049, China; (2) Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi'an; 710119, China; (3) University of Chinese Academy of Sciences, Beijing; 100049, China
Publication Year:2025
Volume:183
Article Number:112310
DOI Link:10.1016/j.optlastec.2024.112310
数据库ID（收录号）:20245117544072
Record 38 of

Title:Analysis of coded dual-repetition rate single-photon LIDAR

Author Full Names:Zhao, Yixin(1,2,3); Tian, Yuan(1,2,3); Zhang, Xuan(1,2,3); Xie, Meilin(1,2,3); Hao, Wei(1,2,3); Su, Xiuqin(1,2,3)
Source Title:Optics Communications
Language:English
Document Type:Journal article (JA)
Abstract:Single-photon Light Detection and Ranging (Lidar) has been widely used for long-range ranging due to its single-photon sensitivity and picosecond timing resolution. However, it is still a great challenge to range long-range targets with high accuracy in a short time regardless of whether target is static or dynamic. It is because that the existing long-range single-photon ranging techniques both have non-negligible drawbacks: Coded Signal Ranging (CSSR) with long computation time and Multi-Repetition Rate Ranging (MRRSR) technology with low accuracy. Therefore, the coded multi-repetition rate single-photon ranging (CMSPR) method is proposed to achieve high-accuracy ranging with a short computation time. And coded dual-repetition rate single-photon ranging (CDSPR) system with neighboring coding lengths is proposed to simplify the solution process, which can directly have analytical solutions. Besides, the data centralization method (DCM) based on the coding technique is proposed to further enhance the performance of CDSPR, which is a data pre-processing method based on the characteristics of CDSPR. Results show that CDSPR with DCM can provide a higher ranging error with less computation time. © 2024
Affiliations:(1) Key Laboratory of Space Precision Measurement Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, China; (3) Pilot National Laboratory for Marine Science and Technology, Qingdao; 266200, China
Publication Year:2025
Volume:574
Article Number:131148
DOI Link:10.1016/j.optcom.2024.131148
数据库ID（收录号）:20243917099786
Record 39 of

Title:SPRNet: Laser spot center position and reconstruction under atmospheric turbulence based on deep learning enhancement

Author Full Names:Wang, Jiaqi(1,2); Meng, Xiangsheng(1); Zhou, Shun(2); Wang, Xuan(1); Han, Junfeng(1); Guo, Yifan(1,2); Song, Shigeng(3); Liu, Weiguo(2)
Source Title:Optics and Lasers in Engineering
Language:English
Document Type:Journal article (JA)
Abstract:Optical communication suffers from atmospheric turbulence for free space optical communication (FSOC) and the received spot has undergone severe wavefront distortion. It is difficult to position the spot center accurately or reconstruct the original spot, which leads to the loss of the transmitted information. Therefore, we establish a novel neural network to achieve spot center position and reconstruction, named SPRNet. Our SPRNet consists of spot structural feature extraction (SSFE) module and field distribution feature enhancement (FDFE) module to locate the center and restore the quality-enhanced spot. In FDFE module, we propose a novel spot-constrained attention module to better fuse the dual feature. To solve the problem of lacking ground truth (label), we propose the multi-frame aggregation method to obtain the labels to train our deep-learning-based method and establish the Turbulence50 dataset. We carried out experiments with simulated data and real-world data to verify the effectiveness of our SPRNet. The experiment results show that our method has better performance and strong robustness compared to other methods, which improves more than 2.2422 pixels on the benchmark of Manhattan distance for spot center position and more than 3.2477dB on the benchmark of PSNR for spot reconstruction. © 2024 Elsevier Ltd
Affiliations:(1) Key Laboratory of Space Precision Measurement Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (2) School of Opto-electronical Engineering, Xi'an Technological University, Xi'an; 710021, China; (3) Institute of Thin Films, Sensors and Imaging, Scottish Universities Physics Alliance (SUPA), University of the West of Scotland, Scotland, Paisley; PA1 2BE, United Kingdom
Publication Year:2025
Volume:186
Article Number:108775
DOI Link:10.1016/j.optlaseng.2024.108775
数据库ID（收录号）:20245217567995
Record 40 of

Title:Polarization-enhanced contrast imaging for pupil detection

Author Full Names:Huo, Yongsheng(1,2); Guan, Jinge(3); Dang, Ruochen(1); Dang, Qi(1,2); Zhu, Chenyifei(3); Wang, Quan(1)
Source Title:Optics and Lasers in Engineering
Language:English
Document Type:Journal article (JA)
Abstract:In pupil detection within the visible light spectrum, intensity information serves as a carrier for capturing the reflective characteristics of images. When the reflectance of the pupil and its adjacent iris is similar, effectively distinguishing between them becomes challenging. Polarization provides additional information sensitive to the physical and chemical properties of objects, aiding in overcoming this problem. In the polarimetric pupil detection method, the transmission process of polarized light in the human eye model is theoretically analyzed. Arbitrary orthogonal polarization channels are utilized instead of intensity to describe the collected image, facilitating the extraction of polarization information corresponding to each channel. Experimental validation of the proposed method was conducted using active polarization illumination imaging experiments. The experimental results verify that the polarimetric pupil detection method could not only suppress the scatter noise but also be capable of obtaining a combination of intensity and polarization information. Moreover, exploiting the distinctions in depolarization characteristics among biological tissues can substantially improve their contrast.The research findings presented in this article provide insights into enhancing imaging methods for existing pupil detection schemes. © 2024 Elsevier Ltd
Affiliations:(1) Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi'an; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, China; (3) School of Information and Communication Engineering, North University of China, Taiyuan; 030051, China
Publication Year:2025
Volume:184
Article Number:108595
DOI Link:10.1016/j.optlaseng.2024.108595
数据库ID（收录号）:20243817057263
Record 41 of

Title:Enhancement of the Gain and Stability in a Discrete Dynode Electron Multiplier Through Differential Voltage Distribution among Dynodes

Author Full Names:Yang, Jishi(1); Li, Jie(1); Zhao, Wanru(1); He, Li(2); Wang, Ruozheng(1); Zhao, Yuan(1); Hu, Wenbo(1); Tian, Jinshou(3); Wu, Shengli(1)
Source Title:IEEE Transactions on Electron Devices
Language:English
Document Type:Journal article (JA)
Abstract:We proposed an effective strategy involving a differential distribution of voltages among dynodes to significantly enhance the gain and stability of discrete dynode electron multipliers (DEMs) under continuous electron bombardment. The effects of the differential voltage distribution on the DEM performance were systematically investigated through experiments and numerical simulations. The differential voltage distribution of 7:7:7:7:7:5:5:5:5 enables the DEM to achieve a gain of 3.4×104 , representing a substantial increase by 2.1 times at an operating voltage of 1200 V, and the operating voltage at a gain of 106 to be reduced to 1949 V with a decrease of 186 V in comparison to the traditional uniform voltage distribution of 1:1:1:1:1:1:1:1:1. The gain enhancement is closely related to the increased average secondary electron emission (SEE) coefficients of dynodes D2-D6 and the improved electron collection efficiencies of dynodes D3 and D6. Additionally, the differential voltage also reduced the gain decay rate to 16.7%/mC, reflecting a decrease of 14.8% due to the suppression of SEE degradations in dynodes D7-D9, which can be attributed to their lower average SEE coefficients. Overall, the proposed strategy of differential voltage distribution, characterized by higher voltages among earlier dynodes and lower voltages among latter dynodes, presents a novel and universal approach for optimizing the structure of electron multipliers, addressing the need for highly sensitive and reliable detection of ultraweak or even single charged particles. © 1963-2012 IEEE.
Affiliations:(1) Xi'an Jiaotong University, Key Laboratory for Physical Electronics and Devices of the Ministry of Education, School of Electronic Science and Engineering, Xi'an; 710049, China; (2) Institute of Semiconductors, Chinese Academy of Science, State Key Laboratory of Superlattices and Microstructures, Beijing; 100083, China; (3) Xi'an Institute of Optics and Precision Mechanics, Key Laboratory of Ultra-Fast Photoelectric Diagnostics Technology, Chinese Academy of Sciences, Xi'an; 710119, China
Publication Year:2025
Volume:72
Issue:1
Start Page:439-444
DOI Link:10.1109/TED.2024.3503536
数据库ID（收录号）:20245017519944
Record 42 of

Title:A novel turbidity compensation method for fluorescence spectroscopy and application in the detection of two algae species

Author Full Names:Li, Ruizhuo(1,2); Dong, Jing(1,2); Wu, Guojun(1,3); Gao, Limin(1); Yang, Min(4)
Source Title:Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Language:English
Document Type:Journal article (JA)
Abstract:Turbidity interference in measurements can reduce the accuracy of fluorescence detection. Conventional turbidity compensation methods directly establish the relationship between turbidity value and fluorescence but cannot accurately characterize the complex interference of turbidity on fluorescence detection. This paper introduces a novel turbidity compensation technique that separates the interference caused by turbidity particles into scattering intensifying and scattering-absorption attenuating components and corrects them separately. First, the scattering spectrum overlapping with fluorescence is estimated and subtracted from the actual sample spectrum to mitigate the fluorescence intensification caused by scattering. Then, attenuation coefficients at different turbidity intervals are calculated to compensate for fluorescence attenuation. Finally, the two components are combined to obtain the final corrected result. Based on the proposed method, the fluorescence spectra data of Platymonas helgolandica var. tsingtaoensis and Synechococcus elongatus undeod is evaluated. The core problem for comper different turbidity interferences were analyzed. Intensifying and attenuating coefficients based on turbidity values and scattering spectra were determined, ensuring adaptability to known and unknown turbidity conditions. The study results show that the fluorescence variation at different concentrations and turbidity levels are influenced by sample concentration and turbidity, exhibiting nonlinear behavior. The compensation model developed was applied to experimental data, achieving a mean relative error of less than 4% and a satisfactory root-mean-square error, significantly enhancing prediction accuracy. This method offers a straightforward and rapid application to detect a wide range of fluorescent substances. © 2024 Elsevier B.V.
Affiliations:(1) Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi'an; 710119, China; (2) College of Photoelectricity, University of Chinese Academy of Science, Beijing; 100049, China; (3) Laoshan Laboratory, Qingdao; 266237, China; (4) North China Sea Marine Technical Center, Ministry of Natural Resources, Qingdao; 266033, China
Publication Year:2025
Volume:329
Article Number:125510
DOI Link:10.1016/j.saa.2024.125510
数据库ID（收录号）:20244917488314
Record 43 of

Title:A mathematical model for ultrafast laser processing of the slight curvature surface

Author Full Names:Wang, Jing(1); Hou, Yaohua(1); Zhang, Jingzhou(1); Zhao, Hualong(1)
Source Title:Optics and Laser Technology
Language:English
Document Type:Journal article (JA)
Abstract:The precise control of the amount of material removal in the ultrafast laser ablation process is hindered by a number of factors, rendering it unable to meet the demand for accurate processing of complex surfaces. It is essential to employ an effective simulation method to predict the outcomes of ablation processing, thereby facilitating subsequent optimisation of parameters and precision process research. In this paper, a pulse-by-pulse mathematical model is presented for simulating the ultrafast laser ablation process for general materials. The mathematical model of the focused Gaussian beam considers the influences of key parameters, including the propagation direction of the beam, the position of the focal point, and the laser fluence, among others. The evolution process of etching materials was analysed, and the material ablation rate under different beam states was calculated. The actual processing was then simulated pulse by pulse using the grid division method. The model is straightforward and accessible, with parameters determined through a limited number of calibration experiments. The simulation accuracy for points, lines, and planes is approximately 0.9, with a mean simulation time of 1.3 s for a single pulse. The ablation model is well-suited for simulating complex curved surfaces, offering a valuable tool for precise ultra-fast laser machining. © 2024 Elsevier Ltd
Affiliations:(1) State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China
Publication Year:2025
Volume:181
Article Number:111786
DOI Link:10.1016/j.optlastec.2024.111786
数据库ID（收录号）:20243917087658
Record 44 of

Title:Deep full-color optically-sectioned microscopy with multi-reference colorization

Author Full Names:Bai, Chen(1,2); Dang, Shipei(1,2); J., Qian; X., Tian; R., Li; T., Peng; X., Li; Y., Yang; D., Dan; B., Yao
Source Title:Optics and Laser Technology
Language:English
Document Type:Journal article (JA)
Abstract:As the wide-field microscopy, structured illumination microscopy (SIM) enables optical sectioning (OS) and super-resolution imaging, having the advantages of high spatial resolution, short image recording time, and less photobleaching and phototoxicity. With white light illumination, full-color SIM technology based on the hue-saturation-value (HSV) color space, namely HSV-SIM, can restore the color information of the sample surface, which is an important physical quantity describing the characteristics of living creatures and their optical properties. Nevertheless, fringes are inevitably left in the processing channel, especially in the hue (H) and saturation (S) channels, leading to color distortion as well as oversaturation and excessive redness. Besides, HSV-SIM requires the OS algorithm to run three times in each channel and requires two transformations between the red–green–blue (RGB) and HSV color spaces, thereby extending the data processing time for large-scale samples. In this paper, a natural color SIM method is proposed through deep learning with multi-reference-based colorization, called Deep-MRC-SIM, which can effectively reconstruct high-quality full-color OS images with improved color authenticity and richness. In addition to taking the corresponding WF image with same scanning depth as a reference, Deep-MRC-SIM also introduces other WF data at two random depths as references. This makes Deep-MRC-SIM more robust and precise for natural color SIM with such three multi-WF references. Case studies of different specimens with a specific digital micro-mirror device (DMD)-based SIM system are used to validate this method. Regarding the color rendition, the image histogram cosine similarity and structural similarity of Deep-MRC-SIM were on average 7.67 and 2.10 times better than those of HSV-SIM, respectively; Meanwhile, the reconstruction time was reduced by 69.24%. This cost-effective and convenient Deep-MRC-SIM method offers a promising tool to observe the 3-D distribution of color biological samples with high precision. © 2024 Elsevier Ltd
Affiliations:(1) State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, China; (3) Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan; 030006, China
Publication Year:2025
Volume:180
Article Number:111577
DOI Link:10.1016/j.optlastec.2024.111577
数据库ID（收录号）:20243216845174
Record 45 of

Title:Enhancement of weak optical signal detection based on phase-sensitive amplification

Author Full Names:Zhang, Changchang(1,3); Wang, Zhaolu(1); Shi, Wenjuan(1,3); Zhang, Congfu(1,3); Gao, Ke(1,3); Liu, Hongjun(1,2); Huang, Nan(1)
Source Title:Optics and Laser Technology
Language:English
Document Type:Journal article (JA)
Abstract:Phase-sensitive amplification (PSA) performs crucial roles in quantum information processing and optical communications with its noiseless amplification characteristics. To advance its application in the area of weak signal detection. We experimentally demonstrate a weak signal detection strategy below detector limit by employing a phase-sensitive amplifier. We show that PSA can effectively detect weak signals with intensity lower than the detector limit. When the phase sensitive gain is 14.3 dB and the detection efficiency of the detector is 0.69, the signal-to-noise ratio (SNR) is improved from © 2025 Elsevier Ltd
Affiliations:(1) State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi'an; 710119, China; (2) Collabotative Innovation Center of Extreme Optics, Shanxi University, Taiyuan; 030006, China; (3) University of Chinese Academy of Sciences, Beijing; 100084, China
Publication Year:2025
Volume:184
Article Number:112467
DOI Link:10.1016/j.optlastec.2025.112467
数据库ID（收录号）:20250317709390
Record 46 of

Title:Infrared and visible image fusion based on relative total variation and multi feature decomposition

Author Full Names:Xu, Xiaoqing(1); Ren, Long(2,3); Liang, Xiaowei(1); Liu, Xin(1)
Source Title:Infrared Physics and Technology
Language:English
Document Type:Journal article (JA)
Abstract:The fusion technology of infrared and visible images has been widely applied in military and civilian fields, such as remote sensing, image detection and recognition, medical image analysis, computer vision, meteorological observation, aviation investigation, and battlefield assessment. It is of great significance in both military and civilian fields. In this paper, we have proposed a new feature decomposition-based method. Firstly, we used the relative total variation method to decompose the image to obtain its structural and texture layers. The structural layer retains the main structural features of the image, while the texture layer contains texture and detail information. Afterwards, we further decompose the texture layer to obtain a large-scale middle layer and a small-scale detail layer. In response to the noise problem exiting in infrared images due to environmental temperature and other factors, denoising is carried out in the detail layer. Different fusion weights are used to complete the fusion work for each layer according to the characteristics of different feature layer. Finally, each fusion feature layer is added to obtain the final fusion image. The experiment shows that this algorithm can effectively complete the fusion work of infrared and visible images, preserving more visible detail texture features and infrared radiation feature information. Compared with the other nine advanced algorithms by fusion and object detection experiments, it has certain advantages in both subjective and objective evaluation indicators. © 2024 Elsevier B.V.
Affiliations:(1) Xi'an Eurasia University, Xi'an; 710119, China; (2) Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (3) Xi'an Jiaotong University, No.28 Xianning West Road, Xi'an, Shaanxi, 710049, China
Publication Year:2025
Volume:145
Article Number:105667
DOI Link:10.1016/j.infrared.2024.105667
数据库ID（收录号）:20245117554883
Record 47 of

Title:2.6 GW, mJ-class high-energy femtosecond laser system based on Yb:YAG single-crystal fiber amplifier

Author Full Names:Cao, Xue(1,2,3); Li, Feng(1); Wang, Yishan(1); Zhao, Hualong(1); Zhao, Wei(1); Li, Qianglong(1); Xing, Jixin(1); Wen, Wenlong(1); Si, Jinhai(2)
Source Title:Infrared Physics and Technology
Language:English
Document Type:Journal article (JA)
Abstract:High-peak-intensity ultrafast fiber lasers show excellent prospect for ultrafast science and industrial applications. For simplicity as well as efficiency, chirped-pulse amplification (CPA) is an effective technique for the generation of high-energy sources and single crystal fiber (SCF) also shows great potential due to its convenient configuration. In this work, a high-peak-power hybrid CPA pulsed laser system based on a three-stage single-pass end-pumped Yb:YAG SCF amplifier is experimentally demonstrated. The amplification system emitted pulses with the maximum power of 103.2 W at 100 kHz repetition rate and we obtained the compressed output power of 84.2 W, corresponding to the pulse energy of 0.84 mJ. Considering the third order dispersion that induced by the stretcher and the accurate tuning effect for higher-order dispersion compensation of chirped fiber Bragg grating, we have demonstrated a nearly transform limited output pulse duration of 323 fs with the peak power exceeding 2.6 GW. It can be said that we present the results for the first implementation of the shortest pulse duration and highest peak power in such multi-stage Yb:YAG SCF amplifier. The well-preserved beam quality with the measured M2 value of 1.22 and 1.29 for the horizontal and vertical directions at the maximum achieved average power. With such outstanding combined features, the demonstrated high-energy ultrafast fiber lasers would enable broad applications. © 2024 Elsevier B.V.
Affiliations:(1) State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; (2) Key Laboratory for Physical Electronics and Devices of the Ministry of Education and Shaanxi Key Lab of Information Photonic Technique, School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an; 710049, China; (3) University of Chinese Academy of Sciences, Beijing; 100049, China
Publication Year:2025
Volume:144
Article Number:105643
DOI Link:10.1016/j.infrared.2024.105643
数据库ID（收录号）:20244917468525
Record 48 of

Title:Photobleaching effects and influencing mechanisms of radiation-induced darkening in Erbium-Ytterbium co-doped fibers with different wavelengths of lasers

Author Full Names:Zhang, Yuting(1); Wang, Gencheng(1); Zhao, Tong(1); Zhang, Yan(1,2); Gao, Song(1,2); Cui, Xiaoxia(1); Zhu, Zhiyu(1); Li, Zhe(1); She, Shengfei(1); Hou, Chaoqi(1); Guo, Haitao(1)
Source Title:Journal of Lightwave Technology
Language:English
Document Type:Article in Press
Abstract:Photobleaching effects of radiation-induced darkening in phosphosilicate Erbium-Ytterbium co-doped fibers with different laser wavelengths of 532 nm, 633 nm, and 1080 nm were studied. Both 532 nm and 633 nm lasers exhibited photobleaching effects, in which the 532 nm laser showed superior performance. In contrast, the 1080 nm laser did not exhibit any photobleaching effect. The radiation-induced attenuation spectra and continuous wave electron paramagnetic resonance spectra of fiber preform slices were tested to analyze the evolution of P-related color center defects. The influencing mechanisms of photobleaching were discussed, and a model for the recovery effect on the fibers' defect content was proposed. This work contributes to elucidating photobleaching effects and influencing mechanisms of radiation-induced darkening in Erbium-Ytterbium co-doped fibers. © 1983-2012 IEEE.
Affiliations:(1) Chinese Academy of Sciences, State Key Laboratory of Transient Optics and Photonics, Xi'An Institute of Optics and Precision Mechanics, Xi'an; 710119, China; (2) University of Chinese Academy of Sciences, China Center of Materials Science and Optoelectronics Engineering, Beijing; 100049, China
Publication Year:2025
DOI Link:10.1109/JLT.2025.3527965
数据库ID（收录号）:20250317697628