检索结果-内蒙古大学图书馆

Co-designed metaoptoelectronic deep learning

OPTICS EXPRESS 2023年第4期31卷 6453-6463页

作者： Burgos, Carlos Mauricio Villegas Xiong, Pei Qiu, Liangyu Zhu, Yuhao Vamivakas, Nickolas Univ Rochester Inst Opt 275 Hutchison Rd Rochester NY 14627 USA Univ Rochester Dept Comp Sci 2513 Wegmans Hall Rochester NY 14627 USA

A metaoptical system is co-designed with electronic hardware to implement deep learning image recognition. The optical convolution block includes a reflective metasurface to perform one layer of a deep neural network. The optical and digital components are jointly optimized to perform an image classification task attaining 65% accuracy, which is close to the 66% accuracy of a fully-digital network where the optical block is replaced by a digital convolution layer.

关键词： Image recognition Imaging systems Neural networks Optical components Optical systems reconstruction algorithms

来源：评论

学校读者我要写书评

暂无评论

Network Immunization Strategy by Eliminating Fringe Nodes: A Percolation Perspective

引用

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2023年第3期53卷 1862-1871页

作者： Liu, Gang Deng, Yong Cheong, Kang Hao Singapore Univ Technol & Design Sci Math & Technol Cluster Singapore 487372 Singapore Univ Elect Sci & Technol China Inst Fundamental & Frontier Sci Chengdu 610054 Peoples R China Shaanxi Normal Univ Sch Educ Xian 710062 Peoples R China Japan Adv Inst Sci & Technol Sch Knowledge Sci Nomi 9231211 Japan Swiss Fed Inst Technol Dept Management Technol & Econ CH-8092 Zurich Switzerland

To date, many strategies involving graph theory have been proposed to solve the targeted immunization problem. Among them, the well-known relationship-related (RR) method makes use of the sum rule and the product rule from the perspective of the network explosive percolation. However, the RR method needs to carefully consider all nodes within a network, leading to high computational time. To close this gap, we propose the fringe node set: it is applied to an immunization strategy such as RR to remove noncritical nodes before optimizing the node sequence. Besides adapting this algorithm for strategies, such as RR and degree centrality strategy, we further propose a novel reconstruction method (RM) under the percolation perspective, which ranks critical nodes by measuring their contribution to the giant component in the network reconstruction or node reoccupying process. Experimental results based on our proposed identification method have demonstrated the feasibility of using the fringe node set. The competitive advantage of our proposed RM is also demonstrated in comparison with other existing methods.

关键词： Immune system Optimization Optimized production technology Explosives Task analysis reconstruction algorithms Epidemics Complex network fringe node set network immunization network reconstruction percolation transition

来源：评论

学校读者我要写书评

暂无评论

Spatial Resolution Optimization Technology of Raman OTDR Using Variable Sampling Rate

引用

IEEE SENSORS JOURNAL 2023年第10期23卷 10500-10508页

作者： Xu, Zhengguo Ling, Jiamu Ye, Wei Xu, Zhuangwei Wang, Wenhai Zhejiang Univ Coll Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 310027 Peoples R China Huzhou Inst Zhejiang Univ Ctr Appl Digital Technol Huzhou 313000 Peoples R China

The technology to improve the spatial resolution of distributed sensing has always been a research hotspot. In this article, a Raman optical time-domain reflectometer system with a variable sampling rate (VSR-ROTDR) and a spatial resolution optimization algorithm are designed, as shown in the figure, which makes the distribution of sampling points dense and improves spatial resolution. A point selection matrix based on the reconstruction algorithm is generated to reconstruct a 1-D high-precision signal. Furthermore, an optimization algorithm based on the reconstruction algorithm is designed, which can select the sampling rate and flexibly set the desired spatial resolution. Sampling rate combination and offset distance are set as the output of this algorithm to improve the response time and eliminate the blind area in the reconstruction process. The simulation results show that the reconstruction algorithm can improve the spatial resolution of the distributed temperature measurement system to 0.25 m at the cost of sampling ten times at different sampling rates (91-100 MHZ), representing a resolution gain of four times compared with the spatial resolution limited to 1 m by the acquisition card. This article also compares the sampling results at a single sampling rate, random sampling rate combination, and optimized sampling rate combination to certify the effectiveness of this technology. The sampling result at an optimized sampling rate combination has the highest measurement accuracy.

关键词： Spatial resolution Temperature measurement Optical fiber sensors Optical fibers Temperature sensors Avalanche photodiodes reconstruction algorithms Distributed temperature sensor (DTS) particle swarm optimization (PSO) algorithm sample rate spatial resolution improvement

来源：评论

学校读者我要写书评

暂无评论

A Priori Information and Off-Axis Measurements in Terahertz Tomography

引用

IEEE ACCESS 2023年 11卷 18311-18325页

作者： May, Karl H. Keil, Andreas Von Freymann, Georg Friederich, Fabian Fraunhofer Inst Ind Math ITWM D-67663 Kaiserslautern Germany Tech Univ Kaiserslautern Res Ctr OPTIMAS Dept Phys D-67663 Kaiserslautern Germany Becker Photon GmbH D-32457 Porta Westfalica Germany

Terahertz tomography is a non-contact inspection technique to image objects from multiple angles and reconstruct their 3D volume from intensity and time-of-flight transmission data, without the need for radiation protection measures. Unlike X-rays, terahertz radiation is subject to strong diffraction and refraction when propagating through dielectric materials, which often deteriorate the image reconstruction quality. Our solution to this problem applies ray tracing, considering the beam shape and an $a$ priori model of the sample under investigation to predict the beam paths of the terahertz radiation. We present two reconstruction methods based on the resulting beam path predictions yielding higher image quality. Method 1 filters out beams deviating strongly, thus removing induced artifacts and errors from the reconstruction image. Method 2 employs off-axis measurements that acquire data along the full detection plane and in this way detect even strongly deflected beams. Considering these beams and the information they carry in the reconstruction enhances the image quality. Applying these methods to terahertz tomography, even complicated structures can be imaged. We display the significant enhancements achieved with the two methods by comparing the reconstruction results of different polymeric samples.

关键词： Image reconstruction Tomography Imaging Structural beams Lenses Terahertz radiation Receivers Least squares methods computed tomography non-destructive testing a priori information off-axis measurement reconstruction algorithms imaging time-of-flight conjugate gradient least square (CGLS)

来源：评论

学校读者我要写书评

暂无评论

Light invariant photometric stereo

引用

OPTICS EXPRESS 2023年第4期31卷 5200-5214页

作者： Braun, Yuval Guterman, Hugo Ben Gurion Univ Negev Sch Elect & Comp Engn IL-8410501 Beer Sheva Israel

An imaging setup that enables unsynchronized photometric stereo (PS) for Lambertian objects based on modulated light sources is presented. Knowing the specific frequency of the modulated light source allows to filter out any other light in the scene. This creates an image that depends only on the particular light source while ignoring the ambient light. Moreover, if the scene is illuminated by multiple modulated sources with different frequencies, repeating this process for every frequency will produce a sequence of images with the corresponding illumination. This sequence is then used as an input to the PS algorithm for 3D reconstruction. The proposed approach, named Light Invariant Photometric Stereo (LIPS), was verified on both synthetic and real-world data. LIPS eliminates the need for synchronization between the sources and the camera and significantly outperformed the classical PS method in an illuminated environment.

关键词： Image metrics Imaging noise Light sources reconstruction algorithms Three dimensional imaging Underwater imaging

来源：评论

学校读者我要写书评

暂无评论

Centroiding and extraction of tip/tilt information from nonlinear curvature wavefront sensor measurements

引用

Journal of Astronomical Telescopes, Instruments, and Systems 2025年第1期11卷

作者： Abbott, Caleb G. Crepp, Justin R. Letchev, Stanimir O. Smith, Connor M. University of Notre Dame Department of Physics and Astronomy Notre DameIN United States Max-Planck Institute for Astronomy Heidelberg Germany

The nonlinear curvature wavefront sensor (nlCWFS) uses multiple (typically four) out-of-focus images to reconstruct the phase and amplitude of a propagating light beam. Because these images are located between the pupil and focal planes, they contain tip/tilt information. Rather than using a separate sensor to measure image locations, it would be beneficial to extract tip/tilt information directly and routinely as part of the reconstruction process. In the presence of atmospheric turbulence, recovering precise centroid offsets for each out-of-focus image becomes a dynamic process as image structure is altered by changing aberrations. We examine several tip/tilt extraction methods and compare their precision and accuracy using numerical simulations. With knowledge of the z-distance to each plane, we find that applying a best-fit linear model to multiple image centroid locations can offer fast and accurate tip/tilt (jitter) mode retrieval. We also develop a nonlinear tip/tilt extraction method that self-consistently uses the speckle field to compensate for jitter but find that algorithm latency precludes practical implementation. Simulations of closed-loop adaptive optics correction demonstrate that centroiding precisions may reach the diffraction limit despite using images with a finite region of interest that is purposefully defocused. © 2025 Society of Photo-Optical Instrumentation Engineers (SPIE).

关键词： Adaptive optics Simulations Contour extraction Wavefronts Wavefront reconstruction Scanning probe microscopy Correlation coefficients reconstruction algorithms Pupil aberrations Wavefront sensors

来源：评论

学校读者我要写书评

暂无评论

Fluorescence molecular tomography for quantum yield and lifetime

引用

APPLIED OPTICS 2023年第22期62卷 5926-5931页

作者： Cong, Wenxiang Wang, Ge Rensselaer Polytech Inst Biomed Imaging Ctr Dept Biomed Engn Troy NY 12180 USA

Fluorescence molecular tomography (FMT) is a promising modality for noninvasive imaging of internal fluores-cence agents in biological tissues, especially in small animal models, with applications in diagnosis, therapy, and drug design. In this paper, we present a fluorescent reconstruction algorithm that combines time-resolved fluores-cence imaging data with photon-counting microcomputed tomography (PCMCT) images to estimate the quantum yield and lifetime of fluorescent markers in a mouse model. By incorporating PCMCT images, a permissible region of interest of fluorescence yield and lifetime can be roughly estimated as prior knowledge, reducing the number of unknown variables in the inverse problem and improving the image reconstruction stability. Our numerical experiments demonstrate the accuracy and stability of the proposed reconstruction method in the presence of data noise, achieving a reconstruction error of 0.02 ns for the fluorescence lifetime and an average relative error of 18% for quantum yield reconstruction.& COPY;2023 Optica Publishing Group

关键词： Fluorescence lifetime imaging Image reconstruction reconstruction algorithms Small animal imaging Tomographic image reconstruction X ray imaging

来源：评论

学校读者我要写书评

暂无评论

Fourier ptychographic microscopy image enhancement with bi-modal deep learning

引用

BIOMEDICAL OPTICS EXPRESS 2023年第7期14卷 3172-3189页

作者： Bouchama, Lyes Dorizzi, Bernadette Thellier, Marc Klossa, Jacques Gottesman, Yaneck Inst Polytech Paris Samovar Telecom SudParis F-91120 Palaiseau France TRIBVN T Life F-92800 Puteaux La Defense France Sorbonne Univ Hop Pitie Salpetriere AP HP INSERMInst Pierre Louis Epidemiol & Sante Publ F-75013 Paris France

Digital pathology based on a whole slide imaging system is about to permit a major breakthrough in automated diagnosis for rapid and highly sensitive disease detection. High -resolution FPM (Fourier ptychographic microscopy) slide scanners delivering rich information on biological samples are becoming available. They allow new effective data exploitation for efficient automated diagnosis. However, when the sample thickness becomes comparable to or greater than the microscope depth of field, we report an observation of undesirable contrast change of sub-cellular compartments in phase images around the optimal focal plane, reducing their usability. In this article, a bi-modal U-Net artificial neural network (i.e., a two channels U-Net fed with intensity and phase images) is trained to reinforce specifically targeted sub-cellular compartments contrast for both intensity and phase images. The procedure used to construct a reference database is detailed. It is obtained by exploiting the FPM reconstruction algorithm to explore images around the optimal focal plane with virtual Z-stacking calculations and selecting those with adequate contrast and focus. By construction and once trained, the U-Net is able to simultaneously reinforce targeted cell compartment visibility and compensate for any focus imprecision. It is efficient over a large field of view at high resolution. The interest of the approach is illustrated considering the use-case of Plasmodium falciparum detection in blood smear where improvement in the detection sensitivity is demonstrated without degradation of the specificity. Post-reconstruction FPM image processing with such U-Net and its training procedure is general and applicable to demanding biological screening applications.

关键词： Image enhancement Image metrics Image processing Image quality Optical depth reconstruction algorithms

来源：评论

学校读者我要写书评

暂无评论

Streak artifact suppressed back projection for sparse-view photoacoustic computed tomography

引用

APPLIED OPTICS 2023年第15期62卷 3917-3925页

作者： Wang, Tong Chen, Chenyang Shen, Kang Liu, Wen Tian, Chao Univ Sci & Technol China Sch Phys Sci Hefei 230026 Anhui Peoples R China Hefei Comprehens Natl Sci Ctr Inst Artificial Intelligence Hefei 230088 Anhui Peoples R China Univ Sci & Technol China Sch Engn Sci Hefei Anhui Peoples R China

The development of fast and accurate image reconstruction algorithms under constrained data acquisition condi-tions is important for photoacoustic computed tomography (PACT). Sparse-view measurements have been used to accelerate data acquisition and reduce system complexity;however, reconstructed images suffer from sparsity -induced streak artifacts. In this paper, a modified back-projection (BP) method termed anti-streak BP is proposed to suppress streak artifacts in sparse-view PACT reconstruction. During the reconstruction process, the anti-streak BP finds the back-projection terms contaminated by high-intensity sources with an outlier detection method. Then, the weights of the contaminated back-projection terms are adaptively adjusted to eliminate the effects of high-intensity sources. The proposed anti-streak BP method is compared with the conventional BP method on both simulation and in vivo data. The anti-streak BP method shows substantially fewer artifacts in the recon-structed images, and the streak index is 54% and 20% lower than that of the conventional BP method on simulation and in vivo data, when the transducer number N = 128. The anti-streak BP method is a powerful improvement of the BP method with the ability of artifact suppression.(c) 2023 Optica Publishing Group

关键词： Image quality Image reconstruction Medical image processing Medical imaging Optical imaging reconstruction algorithms

来源：评论

学校读者我要写书评

暂无评论

Noise-resilient deep learning for integrated circuit tomography

引用

OPTICS EXPRESS 2023年第10期31卷 15355-15371页

作者： Guo, Zhen Liu, Zhiguang Barbastathis, George Zhang, Qihang Glinsky, Michael E. Alpert, Bradley K. Levine, Zachary H. MIT Dept Elect Engn & Comp Sci Cambridge MA 02139 USA MIT Dept Mech Engn Cambridge MA 02139 USA Singapore MIT Alliance Res & Technol SMART Ctr Singapore 138602 Singapore qiTech Consulting Santa Fe NM 87505 USA NIST Appl & Computat Math Div Boulder CO 80305 USA NIST Quantum Measurement Div Gaithersburg MD 20899 USA

X-ray tomography is a non-destructive imaging technique that reveals the interior of an object from its projections at different angles. Under sparse-view and low-photon sampling, regularization priors are required to retrieve a high-fidelity reconstruction. Recently, deep learning has been used in X-ray tomography. The prior learned from training data replaces the general-purpose priors in iterative algorithms, achieving high-quality reconstructions with a neural network. Previous studies typically assume the noise statistics of test data are acquired a priori from training data, leaving the network susceptible to a change in the noise characteristics under practical imaging conditions. In this work, we propose a noise-resilient deep-reconstruction algorithm and apply it to integrated circuit tomography. By training the network with regularized reconstructions from a conventional algorithm, the learned prior shows strong noise resilience without the need for additional training with noisy examples, and allows us to obtain acceptable reconstructions with fewer photons in test data. The advantages of our framework may further enable low-photon tomographic imaging where long acquisition times limit the ability to acquire a large training set.

关键词： Computed tomography Inverse problems Medical imaging Neural networks reconstruction algorithms X ray imaging

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：