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1024×1 elements near-infrared InGaAs linear focal plane arrays assembly

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Guangxue Xuebao/Acta Optica Sinica 2011年第SUPPL.1期31卷

作者： Li, Xue Gong, Haimei Tang, Hengjing Liu, Dafu Shao, Xiumei Wei, Jun Fang, Jiaxiong State Key Laboratory of Transducer Technology Shanghai Institute of Technical Physics Chinese Acad. of Sci. Shanghai 200083 China Key Laboratory of Infrared Imaging Materials and Detectors Chinese Acad. of Sci. Shanghai 200083 China

The double hetero-junction InP/InGaAs/InP material is grown by molecular beam epitaxy. The back-illuminated 512×1 elements InGaAs photo-detectors are fabricated using the improved process including the profile etching, effective passivation and ohmic contacts. Response spectra of 512×1 elements InGaAs photo-detectors range from 0.95 to 1.7 μm and the average peak resoponsivity is 0.9 A/W. 512×1 elements InGaAs photo-detectors are connected to readout circuit with capacitive transimpedance amplifer (CTIA) input stage by transitional base plane using In bump flip chip so that 512×1 elements InGaAs module is fabricated. The 1024×1 elements InGaAs FPA are fabricated using the two 512×1 elements InGaAs modules joint by interlaced effective pixels and are sealed in metal package with thermal electrical cooler (TEC). The response non-uniformity, blind pixels ratio and average peak detectivity of 1024×1 elements InGaAs FPAs are 8%, 1% and 7×1011 (cm·Hz1/2)/W, respectively at room temperature. The working temperature of FPAs assembly is stabilized by using TEC, power consumption of FPAs assembly at 5 °C is 3.10 W.

关键词： Semiconducting indium gallium arsenide

Degenerate merging BICs in resonant metasurfaces

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arXiv 2024年

作者： Gao, Yixiao Ge, Junyang Gu, Zhaofeng Xu, Lei Shen, Xiang Huang, Lujun Laboratory of Infrared Materials and Devices Zhejiang Key Laboratory of Photoelectric Detection Materials and Devices Research Institute of Advanced Technologies Ningbo University Zhejiang Ningbo315211 China Advanced Optics & Photonics Laboratory Department of Engineering School of Science and Technology Nottingham Trent University NottinghamNG11 8NS United Kingdom School of Physics and Electronic Science East China Normal University Shanghai200241 China Ningbo Institute of Oceanography Ningbo315832 China

Resonant metasurfaces driven by bound states in the continuum (BIC) offer an intriguing approach to engineer high-Q resonances. Merging multiple BICs in the momentum space could further enhance the Q-factor as well as its robustness to fabrication imperfections. Here, we report doubly-degenerate guided mode resonances (GMR) in a resonant metasurface, whose radiation losses could be totally suppressed due to merging BICs. We show that the GMRs and their associated accidental BICs can be evolved into degenerate merging BICs by parametric tuning of the metasurface. Significantly, these two GMRs share the same critical parameter (i.e. lattice constants or thickness) that the merging BICs occur. Interestingly, thanks to the degenerate property of two GMRs, a larger (smaller) period will split one of merging BICs into eight accidental BICs at off-Γ point, but annihilate the other. Such exotic phenomenon can be well explained from the interaction of GMRs and background Fabry-Perot resonances. Our result provides new strategies to engineering high-Q resonances in resonant metasurfaces for light-matter interaction. © 2024, CC BY.

关键词： Q factor measurement

Application of transcutaneous diffuse reflectance spectroscopy in the measurement of blood glucose concentration

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Chinese Optics Letters 2004年第7期2卷 411-413页

作者：陈文亮刘蓉崔厚欣徐可欣吕丽娜 State Key Laboratory of Precision Measuring Technology and Instruments Tianjin UniversityTianjin 300072 State Key Laboratory of Precision Measuring Technology and Instruments Tianjin UniversityTianjin 300072n this paper the propagation characteristics of near-infrared (NIR) light in the palm tissue are analyzed and the principle and feasibility of using transcutaneous diffuse reflectance spectroscopy for non-invasive blood glucose detection are presented. An optical probe suitable for measuring the diffuse reflectance spectrum of human palm and a non-invasive blood glucose detection system using NIR spectroscopy are designed. Based on this system oral glucose tolerance tests are performed to measure the blood glucose concentrations of two young healthy volunteers. The partial least square calibration model is then constructed by all individual experimental data. The final result shows that correlation coefficients of the two experiments between the predicted blood glucose concentrations and the reference blood glucose concentrations are 0.9870 and 0.9854 respectively. The root mean square errors of prediction of full cross validation are 0.54 and 0.52 mmol/1 respectively.

In this paper, the propagation characteristics of near-infrared (NIR) light in the palm tissue are analyzed, and the principle and feasibility of using transcutaneous diffuse reflectance spectroscopy for non-invasive blood glucose detection are presented. An optical probe suitable for measuring the diffuse reflectance spectrum of human palm and a non-invasive blood glucose detection system using NIR spectroscopy are designed. Based on this system, oral glucose tolerance tests are performed to measure the blood glucose concentrations of two young healthy volunteers. The partial least square calibration model is then constructed by all individual experimental data. The final result shows that correlation coefficients of the two experiments between the predicted blood glucose concentrations and the reference blood glucose concentrations are 0.9870 and 0.9854, respectively. The root mean square errors of prediction of full cross validation are 0.54 and 0.52 mmol/1, respectively.

关键词： Application of transcutaneous diffuse reflectance spectroscopy in the measurement of blood glucose concentration NIR OGTT

Improving indistinguishability of single photons from colloidal quantum dots using nanocavities

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arXiv 2019年

作者： Saxena, Abhi Chen, Yueyang Ryou, Albert Sevilla, Carlos G. Xu, Peipeng Majumdar, Arka Electrical and Computer Engineering University of Washington SeattleWA98195 United States Department of Physics University of Washington SeattleWA98195 United States School of Natural Science Hampshire College AmherstMA01002 United States Laboratory of Infrared Materials and Devices Advanced Technology Research Institute Ningbo University Ningbo315211 China Key Laboratory of Photoelectric Detection Materials Devices of Zhejiang Province Ningbo315211 China

Colloidal quantum dots have garnered active research interest as quantum emitters due to their robust synthesis process and straightforward integration with nanophotonic platforms. However, obtaining indistinguishable photons from the colloidal quantum dots at room temperature is fundamentally challenging because they suffer from an extremely large dephasing rate. Here we propose an experimentally feasible method of obtaining indistinguishable single photons from an incoherently pumped solution-processed colloidal quantum dot coupled to a system of nanocavities. We show that by coupling a colloidal quantum dot to a pair of silicon nitride cavities, we can obtain comparable performance of a single photon source from colloidal quantum dots as other leading quantum emitters like defect centers and self-assembled quantum dots. Copyright © 2019, The Authors. All rights reserved.

关键词： Particle beams

An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network

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arXiv 2020年

作者： Wang, Yong Liu, Qi Zu, Hongyu Liu, Xiao Xie, Ruichao Wang, Feng Department of Information Engineering Army Academy of Artillery and Air Defense PLA Hefei230031 China Anhui Provincial Key Laboratory of Polarization Imaging Detection Technology Hefei230031 China School of Internet Anhui University Hefei230031 China Anhui Institute of Optics and Fine Mechanics Chinese Academy of Sciences Hefei230031 China

Pixel-wise operations between polarimetric images are important for processing polarization information. For the lack of such operations, the polarization information cannot be fully utilized in convolutional neural network(CNN). In this paper, a novel end-to-end CNN framework for polarization vision tasks is proposed, which enables the networks to take full advantage of polarimetric images. The framework consists of two sub-networks: a polarization-parameter-constructing network (PPCN) and a task network. PPCN implements pixel-wise operations between images in the CNN form with 1×1 convolution kernels. It takes raw polarimetric images as input, and outputs polarization-parametric images to task network so as to complete a vison task. By training together, the PPCN can learn to provide the most suitable polarization-parametric images for the task network and the dataset. Taking faster R-CNN as task network, the experimental results show that compared with existing methods, the proposed framework achieves much higher mean-average-precision (mAP) in object detection task. Copyright © 2020, The Authors. All rights reserved.

关键词： Polarization

Realization of ultra-broadband IR up-conversion imaging

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arXiv 2022年

作者： Li, Xiaohong Bai, Peng Huang, Siheng Bai, Xueqi Song, Wenjun Lian, Xinran Hu, Cheng Shi, Zhiwen Shen, Wenzhong Zhang, Yueheng Fu, Zhanglong Shao, Dixiang Tan, Zhiyong Cao, Juncheng Tan, Cheng Xu, Gangyi Key Laboratory of Artificial Structures and Quantum Control School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Institute of Applied Physics and Computational Mathematics Beijing100088 China Key Laboratory of Terahertz Solid-State Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China Key Laboratory of Infrared Imaging Materials and Detectors Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou310024 China

Ultra-broadband imaging devices with high performance are in great demand for a variety of technological applications, including imaging, remote sensing, and communications. An ultra-broadband up-converter is realized based on a p-GaAs homojunction interfacial workfunction internal photoemission (HIWIP) detector-light emitting diode (LED) device. The device demonstrates an ultrabroad response ranging from visible to terahertz (THz) with good reproducibility. The peak responsivity in the mid-infrared (MIR) region is 140 mA/W at 10.5 μm. The HIWIP-LED shows enormous potential for ultra-broadband up-conversion covering all infrared atmospheric windows, as well as the THz region, and the pixelless imaging of the MIR spot from CO2 laser is further demonstrated. In addition，the proposed up-converter also performs as a near-infrared and visible detector under zero bias by using a bi-functional LED. Thanks to its ultra-wide response, the HIWIP-LED up-converter has great promise for stable, high-performance ultra-broadband pixelless imaging and multi-functional analysis systems. Copyright © 2022, The Authors. All rights reserved.

关键词： Light emitting diodes

CBCT scatter correction with dual-layer flat-panel detector

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arXiv 2024年

作者： Zhang, Xin Xie, Jixiong Tan, Yuhang Su, Ting Zhu, Jiongtao Cui, Han Xia, Dongmei Zheng, Hairong Liang, Dong Ge, Yongshuai Research Center for Advanced Detection Materials and Medical Imaging Devices Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen518055 China University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Low-grade Energy Utilization Technologies and Systems Ministry of Education of China College of Power Engineering Chongqing University Chongqing400044 China Paul C Lauterbur Research Center for Biomedical Imaging Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen518055 China Key Laboratory of Biomedical Imaging Science and System Chinese Academy of Sciences Guangdong Shenzhen518055 China National Innovation Center for Advanced Medical Devices Guangdong Shenzhen518131 China

Background: Recently, the popularity of dual-layer flat-panel detector (DL-FPD) based dual-energy cone-beam CT (CBCT) imaging has been increasing. However, the image quality of dual-energy CBCT remains constrained by the Compton scattered X-ray photons. Purpose: The objective of this study is to develop an novel scatter correction method, named as e-Grid, for DL-FPD based CBCT imaging. Methods: In DL-FPD, a certain portion of the X-ray photons (mainly low-energy primary and scattered photons) passing through the object are captured by the top detector layer, while the remaining X-ray photons (mainly high-energy primary and scattered photons) are collected by the bottom detector layer. Based on the two set of distinct low-energy and high-energy measurements, a linear signal model was approximated for the dual-energy primary and scattered signals on DL-FPD. The distributions of X-ray scatters were quickly estimated using this signal model. Monte Carlo (MC) simulation of a water phantom was conducted to verify this newly developed scatter estimation method. Moreover, physical experiments of water phantom, head phantom, and abdominal phantom were carried out to validate the real performance of this proposed scatter correction method. Results: The MC results showed that the e-Grid method was able to generate scatter distributions close to the ground truth. Moreover, the physical experiments demonstrated that the e-Grid method can greatly reduce the shading artifacts in both low-energy and high-energy CBCT images acquired from DL-FPD. On average, the image non-uniformity (NU) was reduced by over 77% in the low-energy CBCT image and by over 66% in the high-energy CBCT image. A a consequence, the accuracy of the decomposed multi-material bases was substantially improved. Conclusion: The Compton scattered X-ray signals could be quickly corrected using the proposed e-Grid method for DL-FPD based dual-energy CBCT imaging systems. Copyright © 2024, The Authors. All rights reser

关键词： Particle beams

detection Method of Ship Target infrared Polarization Image

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Journal of Physics: Conference Series 2021年第2期1802卷

作者： Haonan Tuo Guochuan Shi Xiaolin Luo Army Artillery and Air Defense Academy Heifei China Anhui province Key Laboratory of Polarization Imaging Detection Technology Hefei China

In the face of complex background and severe weather environment, infrared polarization detection has obvious advantages. In this paper, the ship target detection method based on infrared polarization image is studied and the ship target infrared polarization image detection method based on local contrast is proposed. The ship target detection accuracy of the proposed algorithm is 0.956, and the false alarm rate of the ship detection is low, which verifies the effectiveness of the detection algorithm in detecting the ship target, which has great application value in military applications.

关键词：

Acceleration of infrared Target detection via Efficient Channel Pruning

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Journal of Physics: Conference Series 2022年第1期2203卷

作者： Zhuang Miao Yong Zhang Weihua Li Ruimin Chen Key Laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing 100049 China

Deployment of modern detection models is difficult for infrared target detection used in robot vision systems due to their heavy computational burden. To alleviate this situation, a simple but efficient channel pruning method is proposed for model acceleration. Specifically, a soft-gated module combined with batch normalization (SGBN) is designed as a standalone layer to substitute the standard batch normalization (BN) layer during training. The conversion between SGBN and BN is easy, and the training overhead introduced is almost negligible after replacement. By controlling the sparsity of the scaling factor in SGBN, unimportant channels with small output are blocked automatically and globally, which is simultaneous with model training. Removing these redundant channels no longer requires fine-tuning, thus significantly speeding up the pruning process. Experiments of pruning different detection models on the infrared dataset show the effectiveness of our method. For example, the parameters and FLOPs of pruned CetnerNet are reduced by 72.70% and 40.20%, respectively, without accuracy loss. The inference speed on the CPU is 12.01ms faster. Extended studies on the classification task also demonstrate its great potential when transferring to other applications.

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