2022

• Record 265 of
  
  Title:Infrared and visible image fusion based on QNSCT and Guided Filter
  
  Author(s):Yang, Chenxuan(1); He, Yunan(1); Sun, Ce(2); Jiang, Sheng(1); Li, Ye(1); Zhao, Peng(1)
  Source: Optik  Volume: 253  Issue:   DOI: 10.1016/j.ijleo.2022.168592  Published: March 2022  
  Abstract:Image fusion is the process of fusing multiple images of the same scene to obtain a more informative image for human eye perception. In this paper, a new fusion framework based on Quaternion Non-Subsampled Contourlet Transform (QNSCT) and Guided Filter detail enhancement is designed to address the problems of inconspicuous infrared targets and poor background texture in Infrared and visible image fusion. The proposed method uses the quaternion wavelet transform for the first time instead of the traditional Non-Subsampled Pyramid Filter Bank structure in the Non-Subsampled Contourlet Transform (NSCT). The flexible multi-resolution of quaternion wavelet and the multi-directionality of NSCT are fully utilized to refine the multi-scale decomposition scheme. On the other hand, the coefficient matrix obtained from the proposed QNSCT algorithm is fused using a weight refinement algorithm based on the guided filter. The fusion scheme is divided into four steps. First, the Infrared and visible images are decomposed into multi-directional and multiscale coefficient matrices using QNSCT. The experimental results show that the proposed algorithm not only extracts important visual information from the source image, but also preserves the texture information in the scene better. Meanwhile, the scheme outperforms state-of-the-art methods in both subjective and objective evaluations. © 2022 Elsevier GmbH
  Accession Number: 20220311466374
• Record 266 of
  
  Title:Semantics-Consistent Representation Learning for Remote Sensing Image-Voice Retrieval
  
  Author(s):Ning, Hailong(1,2,3); Zhao, Bin(3); Yuan, Yuan(3)
  Source: IEEE Transactions on Geoscience and Remote Sensing  Volume: 60  Issue:   DOI: 10.1109/TGRS.2021.3060705  Published: 2022  
  Abstract:With the development of earth observation technology, massive amounts of remote sensing (RS) images are acquired. To find useful information from these images, cross-modal RS image-voice retrieval provides a new insight. This article aims to study the task of RS image-voice retrieval so as to search effective information from massive amounts of RS data. Existing methods for RS image-voice retrieval rely primarily on the pairwise relationship to narrow the heterogeneous semantic gap between images and voices. However, apart from the pairwise relationship included in the data sets, the intramodality and nonpaired intermodality relationships should also be considered simultaneously since the semantic consistency among nonpaired representations plays an important role in the RS image-voice retrieval task. Inspired by this, a semantics-consistent representation learning (SCRL) method is proposed for RS image-voice retrieval. The main novelty is that the proposed method takes the pairwise, intramodality, and nonpaired intermodality relationships into account simultaneously, thereby improving the semantic consistency of the learned representations for the RS image-voice retrieval. The proposed SCRL method consists of two main steps: 1) semantics encoding and 2) SCRL. First, an image encoding network is adopted to extract high-level image features with a transfer learning strategy, and a voice encoding network with dilated convolution is devised to obtain high-level voice features. Second, a consistent representation space is conducted by modeling the three kinds of relationships to narrow the heterogeneous semantic gap and learn semantics-consistent representations across two modalities. Extensive experimental results on three challenging RS image-voice data sets, including Sydney, UCM, and RSICD image-voice data sets, show the effectiveness of the proposed method. © 1980-2012 IEEE.
  Accession Number: 20211110072662
• Record 267 of
  
  Title:Gain-switched watt-level thulium-doped fiber laser and amplifier operating at 1.7 m
  
  Author(s):Xiao, Yang(1,2); Xiao, Xusheng(1,2); Liu, Lutao(1,2); Guo, Haitao(1,2)
  Source: High Power Laser Science and Engineering  Volume: 10  Issue:   DOI: 10.1017/hpl.2022.33  Published: November 13, 2022  
  Abstract:A 1.7 m gain-switched thulium-doped all-fiber laser with a master oscillator power amplifier (MOPA) configuration, utilizing a bandpass fiber filter and a 1550 nm erbium/ytterbium-codoped fiber MOPA, is demonstrated. The influences of pump pulse parameters (repetition rate and pulse duration) and laser cavity structures (ring and linear) on the laser performances were experimentally investigated. To the best of our knowledge, the power quenching and drop were observed in the 1.7 m gain-switched thulium-doped fiber lasers for the first time, resulting from the mode-locked-resembling operation and nonlinear effects. Moreover, the fiber ring-cavity laser was more stable than the linear-cavity laser in the time domain and power. Finally, a laser with a maximum average power of 1.687 W, a slope efficiency of 19.7%, a single-pulse energy of 16.87 J, a pulse width of 425 ns, a repetition rate of 100 kHz and a peak power of 39.69 W was obtained. ©
  Accession Number: 20224813187766
• Record 268 of
  
  Title:Enhancement of UV laser-induced damage resistance of the fluoride-containing phosphate glasses by regulating the intrinsic defects
  
  Author(s):Li, Shengwu(1,2); Wan, Rui(1,2); Ma, Yuan(1,2); Wang, Pengfei(1,2)
  Source: Journal of the American Ceramic Society  Volume: 105  Issue: 4  DOI: 10.1111/jace.18255  Published: April 2022  
  Abstract:Low fluorine content containing fluorophosphate glasses have promising potential as ultraviolet (UV) optics to be used in high-energy laser systems. Systematic studies on the iron-doped and iron-free fluoride-containing phosphate glasses that were prepared at high and low melting temperatures explore the underlying interrelationship among the glass preparation conditions, intrinsic defects in produced glasses, and the anti-laser-damage properties. For the iron-doped fundamental frequency (1ω) absorptive glass, melting at high-temperature (1200°C) can reduce the extrinsic "impurity" concentration of Fe3+ ions, resulting in tiny increase of optical bandgap (by 1.6%) but significant reduce of the absorption coefficient by 34% at 355 nm. However, only tiny increase of the laser-induced damage threshold (LIDT) was achieved. For the iron-free third harmonic frequency (3ω) transparent glass, low-temperature (1000°C) melting process significantly reduced the absorptive intrinsic defects content of PO3-EC, PO4-EC, and phosphorous oxygen-bonded hole center defects, which made the UV absorption edge blue-shifted by 50 nm and the optical bandgap increased by ∼18%. The UV (355 nm) LIDT was significantly enhanced by ∼27%. Much lower absorption coefficient and larger bandgap of the iron-free glass relative to the iron-doped one endow it with larger a LIDT. In short, optimizing the glass melting temperature is a feasible method to enhance the UV laser-induced damage resistance of the fluoride-containing phosphate glasses through controlling the content of the extrinsic or intrinsic defects in produced glasses. The general routine is to achieve both the lower UV absorptive defect concentration (i.e., lower UV absorption at 355 nm) and the lower non-bridged oxygen ratio (i.e., denser glass network), as well as a larger optical bandgap (i.e., reduced probability of avalanche ionization breakdown), which together contribute to the enhancement of the anti-laser-damage performance of the investigated fluoride-containing phosphate glasses. © 2021 The American Ceramic Society
  Accession Number: 20215011322971
• Record 269 of
  
  Title:Synthesis and characteristics of BaYF5:Yb3+, Er3+@BaYF5 nanoparticles as a new near-infrared fluorescence bioimaging probe
  
  Author(s):Yang, Liqing(1); Yang, Xiaoqing(2); Gao, Fei(1); Fan, Qi(1)
  Source: Journal of Nanophotonics  Volume: 16  Issue: 4  DOI: 10.1117/1.JNP.16.046009  Published: October 1, 2022  
  Abstract:Fluorescent bioimaging technology has been widely used in clinic because of its high sensitivity, quick feedback, and no radiation. Among them, NIR-II imaging has lower absorption, tissue scattering, self-fluorescence, and higher signal-To-noise ratio. As a precursor of nanoprobe, BaYF5 is an excellent material due to its low phonon energy, which makes it easy to achieve rare earth ion energy level transition and obtain strong upconversion luminescence. A near-infrared II (NIR-II) rare earth fluoride nanoparticle (NP) BaYF5: Yb3+, Er3+ @ BaYF5 has been constructed. The luminescence principle of the material was deeply analyzed, and the influence of different doping ion ratio on fluorescence intensity was explored. Finally, the optimal doping ratio for this matrix material was obtained. In addition, according to the surface properties of the materials, the water solubility and biocompatibility of the NPs were significantly improved by the modification. Our work also systematically tested and analyzed the cytotoxicity, hematotoxicity, and tissue toxicity of the NPs and finally realized the high-resolution fluorescence imaging in living mice. This NP can be used as an effective and safe NIR-II contrastive agent, which provides the possibility for the detection and monitoring of physiological activity under deep tissue in vivo. © 2022 Society of Photo-Optical Instrumentation Engineers (SPIE).
  Accession Number: 20230613564638
• Record 270 of
  
  Title:Research on Factors of Affecting the Strength of Silica Optical Fiber and Process Improvement
  
  Author(s):Zhang, Yan(1); Gao, Song(1); Xue, Yaohui(2); Zhang, Zhuo(2); Wang, Xiaozhang(2); Cao, Shanshan(3); Xu, Haitao(3); She, Shengfei(1); Xie, Jin(1); Li, Yizhao(1); Liu, Lutao(1); Guo, Haitao(1); Hou, Chaoqi(1)
  Source: Guangzi Xuebao/Acta Photonica Sinica  Volume: 51  Issue: 6  DOI: 10.3788/gzxb20225106.0606002  Published: June 1, 2022  
  Abstract:With the continuous development of international communication and industrial testing field，optical fiber cables are often in harsh working environments with high temperature， high humidity and high pressure， and will be used in deep-sea signal transmission， urban communication network construction， petrochemical smelting， national defense and military industries. Its application environment puts forward higher and higher requirements for optical fiber strength. The strength of conventional silica fiber can not meet the requirements of harsh environments， which restricts the further expansion of its market application range. Theoretically， using the bond length and surface energy between fused silica atoms， it can be calculated that the theoretical maximum breaking force of standard single-mode fiber is 203 N， while the average breaking force of commercial single-mode fiber is 47.6 N， which is far less than the theoretical maximum breaking force. The main reason is that during the optical fiber manufacturing process， it can inevitably experience the thermal and cold changes of high-temperature fused silica to accumulate internal stress inside the optical fiber. All will cause micro-cracks on the surface of the fiber， reducing the strength of the fiber. Therefore， suppressing the micro-cracks on the surface of the optical fiber and effectively improving the strength of the silica fiber have become the key exploratory areas by researchers. This article uses the passive single-mode quartz preform provided by Zhongtian Technology Co.， Ltd（diameter 35 mm， core NA 0.14）. The experiment is designed by an online active temperature-controlled annealing furnace to reduce the temperature difference between the surface temperature and room temperature when the fiber is released from the furnace， eliminate the internal stress of the fiber and inhibit the generation of micro-cracks on the surface and inside of the fiber. The newly installed online active temperature control annealing furnace has a length of 600 mm， and the furnace body has built-in three-stage heating wire， which can realize the temperature adjustment of 0~600 ℃ inside the furnace body. Acrylate was used as the coating material， and the fiber was drawled online by UV curing. The fiber cladding diameter was 125±1 μm， the coating diameter was 245±5 μm， and the coating/cladding concentricity error was less than 10.0 μm. The breaking force of the optical fiber is the reference standard to measure the strength of the optical fiber. According to international standard， the average breaking force of optical fiber is tested by universal tensile testing machine. The running speed of the tensile testing machine was 50 mm/min， and 15 samples were selected for each set of tests， and the length of each sample was 1 m. Different preform pretreatment processes，drawing speeds and active temperature control annealing processes are measured in experiment. The surface morphology of preforms and fibers with different treating conditions were characterized by reflective optical microscope （OLYMPUS， BX53M） and Scanning Electron Microscopy（SEM，ZEISS-EVO-18）. The influencing factors of optical fiber breaking force were analyzed and studied. The result shows that average breaking force of the fiber behaves a downward trend with the increasing of drawing speed. Through the analysis of the fracture curve of the optical fiber Weibull function under different process conditions， with the optimization of the process conditions， the tensile force of the optical fiber increases but the sample consistency deteriorates. The micro-cracks on the surface of optical fibers and preforms can be effectively suppressed and average fiber breaking force was increased from 36.69 N without any treatment to 68.28 N， and the breaking force increased by 86%， through flame polishing and gradient cooling treatment on preforms， optimizing the active temperature control annealing process and decreasing the drawing speed. Relevant experimental surfaces carried out flame polishing pretreatment on the preform and optimization of the annealing process during the drawing process， while reducing the fiber drawing speed， which can effectively improve the average breaking force of the fiber. The research has opened up a wider application space for high-strength optical fibers in harsh environments such as oil exploration， submarine optical cable laying， and climate monitoring. © 2022 Chinese Optical Society. All rights reserved.
  Accession Number: 20224413027527
• Record 271 of
  
  Title:Disentangled Representation Learning for Cross-Modal Biometric Matching
  
  Author(s):Ning, Hailong(1,2); Zheng, Xiangtao(1,2); Lu, Xiaoqiang(1); Yuan, Yuan(3)
  Source: IEEE Transactions on Multimedia  Volume: 24  Issue:   DOI: 10.1109/TMM.2021.3071243  Published: 2022  
  Abstract:Cross-modal biometric matching (CMBM) aims to determine the corresponding voice from a face, or identify the corresponding face from a voice. Recently, many CMBM methods have been proposed by forcing the distance between two modal features to be narrowed. However, these methods ignore the alignability between the two modal features. Because the feature is extracted under the supervision of identity information from single modal data, it can only reflect the identity information of single modal data. In order to address this problem, a disentangled representation learning method is proposed to disentangle the alignable latent identity factors and nonalignable the modality-dependent factors for CMBM. The proposed method consists of two main steps: 1) feature extraction and 2) disentangled representation learning. Firstly, an image feature extraction network is adopted to obtain face features, and a voice feature extraction network is applied to learn voice features. Secondly, a disentangled latent variable is explored to disentangle the latent identity factors that are shared across the modalities from the modality-dependent factors. The modality-dependent factors are filtered out, while the latent identity factors from the two modalities are enforced to be narrowed to align the same identity information. Then, the disentangled latent identity factors are considered as pure identity information to bridge the two modalities for cross-modal verification, 1:N matching, and retrieval. Note that the proposed method learns the identity information from the input face images and voice segments with only identity label as supervised information. Extensive experiments on the challenging VoxCeleb dataset demonstrate the proposed method outperforms the state-of-the-art methods. © 1999-2012 IEEE.
  Accession Number: 20211610231609
• Record 272 of
  
  Title:Optical Field Imaging Echo Demodulation Ratio Method to Suppress the Image Quality Degradation Caused by Light Intensity Disturbance
  
  Author(s):Cheng, Zhiyuan(1,2); Ji, Zhou(3); Gao, Yansheng(3); Su, Hua(4); Yan, Peipei(1,2); Xia, Aili(1)
  Source: Guangzi Xuebao/Acta Photonica Sinica  Volume: 51  Issue: 12  DOI: 10.3788/gzxb20225112.1211003  Published: 2022  
  Abstract:Laser optical field imaging system transmits multiple laser beams to scan the target for imaging. When the new optical field imaging theory is applied in practical engineering，the inevitable multi beam intensity jitter effect will cause fluctuation in intensity amplitude. In the subsequent reconstruction of spectrum components based on the spectrum iteration theory，the fluctuation in light intensity amplitude will cause the reconstruction spectrum error，which will lead to degradation of imaging quality in further. Aiming at the problem of image quality degradation of optical field imaging caused by laser beam intensity disturbance，an approximate calculation method based on the demodulation ratio of light field echo signal is proposed in this study. First，the interference light field signals with different frequencies in optical field echo signal are demodulated. The demodulated optical field echo signal is affected by random fluctuations of the beam intensity amplitude. The phase closure coefficient is calculated based on the multi beam phase closure theory and an isospectral sampling array is constructed. Then，according to the principle of isospectral iterative reconstruction，the high-order spectral components can be obtained by iteratively solving the lower order spectral components in turn. In this study，the influence model of the light intensity perturbation factor on reconstructed spectrum component error is established，and the influence mechanism of light intensity perturbation on image quality is revealed. Due to the amplitude fluctuation effect of beam intensity，the disturbance factor of beam intensity fluctuates randomly，which affects the accuracy of spectral signal reconstruction and reduces the imaging quality. In order to eliminate the influence of light intensity disturbance on image quality，the influence of light intensity disturbance factor on reconstructed spectral signal should be suppressed. In the weak turbulence scene，the scale coefficient of the disturbance factor of multi-beam intensity can be approximated by the demodulation component of laser echo signal. The light intensity perturbation factor is calculated by the scale coefficient of demodulation echo signal. The value of laser beam intensity perturbation factor is substituted into the spectrum reconstruction model. Finally，the spectrum of eliminating light intensity disturbance factor is obtained. The target image is obtained by performing an inverse Fourier transform of signal spectrum component，and the image index of target is calculated to evaluate the reconstructed image quality. The demodulation ratio of optical field imaging method is analyzed and verified based on the simulation experiment. The simulation experiment results show that the demodulation ratio method suppresses the light intensity disturbance and improves the reconstruction image quality. The demodulation ratio method can effectively suppress the degradation effect of light intensity disturbance and improve the image quality. The validity of the demodulation ratio method is verified based on the desktop experimental platform. The experimental results show that the image sharpness is significantly improved，and the three image quality evaluation indexes of the reconstructed image Strehl ratio，peak signal-to-noise ratio and structural similarity are all improved，which further proves the effectiveness of the demodulation ratio method. The imaging error correction model of light intensity perturbation factor is proposed and the corresponding demulation ratio solution is proposed in optical field imaging system. This study provides an effective theoretical guidance for the suppression of light intensity perturbation factor and the improvement of image quality in actual optical field imaging. The research shows that the proposed demodulation ratio method can effectively suppress the influence of beam intensity disturbance on image quality，and effectively reduce the requirements of beam intensity stability and multi-beam intensity consistency for optical field imaging，thus reducing the difficulty of optical field imaging engineering. The research can provide technical support for experimental research and application transformation of optical field imaging technology. © 2022 Chinese Optical Society. All rights reserved.
  Accession Number: 20230813622730
• Record 273 of
  
  Title:On-chip generation and telecom-compatible processing of complex photonic systems in time and frequency
  
  Author(s):Sciara, Stefania(1); Yu, Hao(1,2); Chemnitz, Mario(1); Fischer, Bennet(1); Roztocki, Piotr(1); Crockett, Benjamin(1); Reimer, Christian(1); Caspani, Lucia(3); Kues, Michael(1,4); Munro, William J.(5); Chu, Sai T.(6); Little, Brent E.(7); Moss, David J.(8); Wang, Zhiming(2); Azaña, Jose(1); Morandotti, Roberto(1,2)
  Source: Optics InfoBase Conference Papers  Volume:   Issue:   DOI:   Published: 2022  
  Abstract:We exploit standard silicon-based chips and fiber telecommunications components to generate and process complex entangled photon states in the discrete time and frequency domains (two-level time-entangled photons, d-level frequency-entangled photon pairs, and three-level cluster states). © 2022 The Author (s)
  Accession Number: 20230413454245
• Record 274 of
  
  Title:Tensor Decomposition-Inspired Convolutional Autoencoders for Hyperspectral Anomaly Detection
  
  Author(s):Sun, Bangyong(1); Zhao, Zhe(1); Liu, Di(2); Gao, Xiaomei(3); Yu, Tao(4)
  Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  Volume: 15  Issue:   DOI: 10.1109/JSTARS.2022.3184789  Published: 2022  
  Abstract:Anomaly detection from hyperspectral images (HSI) is an important task in the remote sensing domain. Considering the three-order characteristics of HSI, many tensor decomposition based hyperspectral anomaly detection (HAD) models have been proposed and drawn much attention during the past decades. However, as most tensor decomposition based detectors are directly performed on the original HSI, the detection accuracy is usually limited due to the high-dimension and noise corruption of the HSI. Benefiting from the good capacity of autoencoders (AE) for feature extraction, in this article, an enhanced tensor decomposition-inspired convolutional AE for HAD is proposed to address those problems, named TDNet. Within the proposed TDNet, the traditional canonical-polyadic (CP) tensor decomposition model is innovatively alternated by a deep neural network (DNN), and the DNN tensor decomposition model performs more stably and robustly for noise. Specifically, a potential abnormal pixels remove strategy is first built to obtain the background training sets. Then, a DNN tensor decomposition-inspired convolutional AE is used to recover the original background information, which consists of an encoder, a low-rank tensor decomposition network, and a decoder. Finally, the residual errors between input HSI and recovered background are used for anomaly detection. Extensive experiments demonstrate the superiority of the TDNet in terms of both AUC values and ROC curves. © 2008-2012 IEEE.
  Accession Number: 20222812349692
• Record 275 of
  
  Title:Optimization of focusing position in laser induced breakdown spectroscopy system based on quantitative analysis internal standard method of steel
  
  Author(s):Li, Zhicong(1,2); Yang, Jianfeng(1); Wang, Zhiyuan(2,3); Zhao, Yiyi(1); Huang, Shuaidong(1,2); Liu, Shengrun(1,2)
  Source: Proceedings of SPIE - The International Society for Optical Engineering  Volume: 12169  Issue:   DOI: 10.1117/12.2627459  Published: 2022  
  Abstract:A laser induced breakdown spectroscopy (LIBS) system has many experimental key parameter factors. Focusing position in laser induced breakdown spectroscopy (LIBS) system is an experimental key parameter factor. The optimization of spectral intensity has been studied, but the results are often inaccurate. In this Letter, A quantitative analysis internal standard method was proposed to optimize the parameter of LIBS experimental system. One 100mm focusing lens and eight standard alloy steels with rich element content were employed as samples. By employing internal standard method, the minority elements (Mn, Cr, Cu) in steels were quantitatively analyzed and the element detection sensitivity was obtained. The limit of detection (LOD) of the minority elements under different focusing states was calculated, and finally the optimal focus position was obtained. The result which indirectly shows that the best laser focusing position of LIBS system with 100mm focusing lens is 6mm below the surface of samples, and the limit of detection (LOD) of the minority elements maintain the minimum value at this position (0.00159 wt.%), which indicates that the quantitative analysis method is effective and reliable for optimizing the parameters of LIBS system. © 2022 SPIE
  Accession Number: 20221611967564
• Record 276 of
  
  Title:High-gain Ultra-small Streak Camera and Its Integrated Control System
  
  Author(s):Zhang, Yuchi(1,2); Tian, Jinshou(1,3); Xue, Yanhua(1); Li, Zhibing(1); Li, Shaohui(1); Wang, Junfeng(1); Liu, Baiyu(1); Gao, Guilong(1); Chen, Ping(1); Wang, Xing(1); Zhao, Wei(1,2)
  Source: Guangzi Xuebao/Acta Photonica Sinica  Volume: 51  Issue: 10  DOI: 10.3788/gzxb20225110.1032003  Published: October 2022  
  Abstract:As a diagnostic instrument with ultra-high temporal and spatial resolution and spectral resolution， the streak camera is widely used in basic research fields such as physics， life sciences， and materials science， as well as in national strategic fields such as detonation physics， lidar， and inertial confinement fusion. Aiming at the requirements of airborne lidar for miniaturized， high-sensitivity， high-gain， and high spatiotemporal resolution streak camera， a high-brightness-gain compact streak camera and its new integrated control system are developed. Compared with the general picosecond visible light streak camera， the volume and weight of the camera are reduced by more than 2/3. The selected streak camera adopts the theoretical simulation research of cathode semiconductor and the method of optimizing the process to greatly improve the sensitivity of the cathode. Using a slit acceleration grid improves the photoelectron transmittance， enhances the photoelectron energy to give the fluorescent screen higher luminous efficiency， and optimizes the cathode process to improve the brightness gain. The streak image tube has the characteristics of high sensitivity， large detection field， high brightness gain， and high temporal and spatial resolution. Starting from the principle and control requirements， combined with the theoretical analysis of the defects of the active control system， a new type of high-integration control system is developed for the camera， which fully eliminates the low integration， poor reliability and compatibility of the previous version. defect. The hardware of the new control system adopts the design method of modularization and function reuse， and the PCB adopts the multi-layer board design. Compared with the current version， the degree of integration is increased by 2.36 times to achieve multi-device compatibility. The bottom layer of the system hardware is divided into main control module， power supply module， A/D module， D/A module， digital I/O and extended scan switching module： the main control module takes STM32F107VCT6 as the core and is responsible for the information between each module and the host computer Interaction； the power supply module is divided into a high-voltage power supply part and a low-voltage power supply part， which provide corresponding voltages for the stripe tube and each element of the circuit； the A/D module takes ADS1256 as the core， adds anti-static protection and digital-analog isolation to entirely eliminate noise interference， and uses SPI The protocol communicates with the host computer； the D/A module takes DAC8534 as the core to control the output of analog devices such as MCP and high-voltage power supply； the digital I/O and expansion scan switching module use the microcontroller GPIO as the control， and the 24 pins programmable interface supports function multiplexing. The PC-side visualization system realizes human-computer interaction and has functions such as camera control， instant feedback of collected images and data， and operation logs. The interface is concise and optimized， which greatly enhances the operability and maintainability of the camera. Finally， the streak tube static test system is used to test the parameters of the streak image tube： the cathode integral sensitivity is 268 μA/lm， the brightness gain is 20.1， and the time resolution is 36 ps； femtosecond laser， F-P etalon， DG645 delayer， oscilloscope， etc. built a dynamic test system for streak camera， and tested the static/dynamic spatial resolution， time resolution， control system function， etc. of the whole machine. The static spatial resolution is higher than 26 lp/mm， the full-screen scanning time is 600 ps， and the functions of control， monitoring and information exchange of the control system are normal. The developed streak camera works well in the laser radar and Inertial Confinement Fusion （ICF） picosecond laser targeting experiments. © 2022 Chinese Optical Society. All rights reserved.
  Accession Number: 20225213303310