Article
Optics
Margie P. Olbinado, David M. Paganin, Yin Cheng, Alexander Rack
Summary: Advances in X-ray imaging have led to breakthroughs in various fields, but achieving high spatial resolution while reducing radiation dose remains challenging. Ghost imaging shows promise in reducing dose and achieving high resolution, but current protocols are limited in achieving phase contrast and image quality.
Article
Physics, Applied
Jun-Tian Ye, Chao Yu, Wenwen Li, Zheng-Ping Li, Hai Lu, Rong Zhang, Jun Zhang, Feihu Xu, Jian-Wei Pan
Summary: We demonstrate photon-counting single-pixel imaging in the ultraviolet region using a 4H-SiC single-photon avalanche diode (SPAD) as a high-performance compact single-photon detector. By developing a tailored readout circuit with active hold-off time, we restrain detector noise and operate the SPAD in the free-running mode. With structured illumination, we reconstruct compressed images at a 4 fps frame rate, demonstrating the capability of ultraviolet imaging applications.
APPLIED PHYSICS LETTERS
(2023)
Article
Optics
Bereneice Sephton, Isaac Nape, Chane Moodley, Jason Francis, Andrew Forbes
Summary: Single-pixel quantum ghost imaging exploits non-local photon spatial correlations to image objects using light that has not interacted with them, reducing detection to a single pixel through intelligent spatial scanning with projective masks. Despite facing challenges in extending to complex amplitude objects, we discover that the necessary interference for phase retrieval is naturally embedded in correlation measurements formed from traditional projective masks in bi-photon quantum ghost imaging. With this, we develop a simple method to obtain the complete phase and amplitude information of complex objects and demonstrate unambiguous reconstruction of objects with spatially varying structures and complex amplitudes. This technique could be a significant step towards imaging the phase of light-sensitive structures in biological matter.
Letter
Optics
Yoshiki O-Oka, Ryota Keyaki, Shunsuke Fujisawa, Susumu Fukatsu
Summary: Ghost imaging (GI) is a nonlocal image retrieval method based on the cross correlation of photons. Temporal single-pixel imaging of a non-integrating class is reported as a viable variant of GI, eliminating the need for constant vigilance. By dividing the distorted waveforms and correcting them using the known impulse response function of the detector, corrected waveforms become readily available. This allows the use of slow and less expensive optoelectronic devices like LEDs and solar cells for one-time readout imaging.
Article
Optics
Wenlin Gong
Summary: This paper compares the performance differences of computational ghost imaging (CGI) and single-pixel camera (SPC) in different light disturbance environments. It is found that SPC always produces better image quality than CGI under the same conditions. Local light disturbance has a larger impact on both CGI and SPC compared to global light disturbance. Additionally, a method to improve the reconstruction result of SPC is proposed and its effectiveness is verified through numerical simulation when the source's energy is unstable and there is light disturbance during the detection process.
OPTICS AND LASER TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Fan Jia, Zijing Zhang, Yuan Zhao
Summary: Ghost imaging is a technique that improves the signal-to-noise ratio and resolution by using the correlation between reference and signal arms to obtain intensity images of targets. This paper proposes a new scheme for obtaining velocity images of moving targets using the slice difference method. The experimental results show good agreement with the theoretical analysis, and a velocity image with 64 x 64 resolution is obtained. This scheme fulfils an urgent need for the detection of moving targets and has potential applications in target attitude perception and security monitoring.
Article
Engineering, Electrical & Electronic
Cheng Zhou, Xuan Liu, Xinwei Li, Yueshu Feng, Gangcheng Wang, Jipeng Huang, Haizhu Sun, Yongli Zhang, Lijun Song
Summary: The multisensor system based on single-pixel imaging can simultaneously measure and image various optical information using a novel multispectral SPI method. It decouples the spatial and spectral dimensions, reducing the complexity of traditional spectral imaging systems. This work enables more convenient research in spectral information acquisition.
IEEE SENSORS JOURNAL
(2023)
Article
Optics
Fei Wang, Chenglong Wang, Chenjin Deng, Shensheng Han, Guohai Situ
Summary: This study proposes a physics-enhanced deep learning approach for image reconstruction in single-pixel imaging. By combining a physics-informed layer and a model-driven fine-tuning process, the proposed method demonstrates generalizability and outperforms other widespread algorithms in terms of both robustness and fidelity.
PHOTONICS RESEARCH
(2022)
Article
Optics
Wenchang Lai, Guozhong Lei, Qi Meng, Donfeng Shi, Wenda Cui, Pengfei Ma, Yan Wang, Kai Han
Summary: A novel single-pixel imaging technique based on discrete orthogonal Zernike moments is proposed. The technique uses Zernike basis patterns to illuminate the target object and measures reflected light intensities through a single-pixel detector to obtain Zernike moments of the object image. The object image is reconstructed by iteratively summing the product of Zernike polynomials and detected intensities. Experimental results show high-quality image retrieval under compressive sampling, and the Zernike illuminating patterns are used for efficient and accurate object classification due to the rotation invariant of Zernike moments.
Article
Optics
Jia-Ning Cao, Yu-Hui Zuo, Hua-Hua Wang, Wei-Dong Feng, Zhi-Xin Yang, Jian Ma, Hao-Ran Du, Lu Gao, Ze Zhang
Summary: The proposed method presents a single-pixel neural network object classification scenario in the sub-Nyquist ghost imaging system, where objects are classified directly by bucket measurements, maintaining high classification accuracy even with a small number of measurements, and significantly reducing object acquisition time with a parallel computing scheme.
Article
Multidisciplinary Sciences
Yuning Guo, Baowen Li, Xiaobo Yin
Summary: This study proposes a dual-compressed photoacoustic imaging method with single-pixel detection, which enables high-efficiency surface tomography with 3D spatial resolution unlimited by the acoustics, revealing the potential for dynamic imaging in a scattering medium.
NATIONAL SCIENCE REVIEW
(2023)
Article
Engineering, Electrical & Electronic
Maryam Abedi, Bing Sun, Zheng Zheng
Summary: Compressive sensing aims to achieve high fidelity image recovery with a low number of measurements using an encoding scheme based on filtering the scene. The structured measurement matrix formed by the encoding patterns, which are linearly independent vectors, allows relatively well-conditioned dictionaries to be created using different sparsifying bases.
Article
Optics
Xiao Zhang, Rui Li, Jiaying Hong, Xi Zhou, Nian Xin, Qin Li
Summary: In recent years, image enhancement for single-pixel imaging has developed rapidly by introducing arbitrary-order fractional operations, which provide a tradeoff between image SNR and performance of edge enhancement. This technique offers a new degree of freedom for edge extraction and image de-noising, making up for the shortcomings of traditional methods for image enhancement.
Article
Optics
Chenning Tao, Huanzheng Zhu, Xucheng Wang, Shuhang Zheng, Qin Xie, Chang Wang, Rengmao Wu, Zhenrong Zheng
Summary: A low-cost compressive single-pixel hyperspectral imaging system with RGB sensors is proposed in this work, eliminating the need for spectral dispersion devices. Reconstruction quality is further improved by optimizing the spatial patterns for structured illumination and the dictionary for sparse representation. The sparse properties of hyperspectral images are fully utilized for high sampling efficiency and low reconstruction cost in both spatial and spectral dimensions.
Article
Optics
Rafal Stojek, Anna Pastuszczak, Piotr Wrobel, Rafal Kotynski
Summary: Single pixel imaging (SPI) typically has low pixel resolution, but this paper proposes a method that allows high-resolution reconstruction of sparse images in a short time through sampling and reconstruction strategies.
Article
Physics, Multidisciplinary
Hong-Yun Hou, Ya-Nan Zhao, Jia-Cheng Han, De-Zhong Cao, Su-Heng Zhang, Hong-Chao Liu, Bao-Lai Liang
Summary: This paper proposes a method called complex-amplitude Fourier single-pixel imaging (CFSI) with coherent structured illumination, which is capable of acquiring both the amplitude and phase of an object. In this method, the object is illuminated by a series of coherent structured light fields generated by a phase-only spatial light modulator, and the complex Fourier spectrum of the object is sequentially acquired by a single-pixel photodetector. The desired complex-amplitude image can be directly retrieved by applying an inverse Fourier transform. Experimental results demonstrate that the proposed method offers a promising approach for complex-amplitude imaging with high quality and a stable configuration, making it suitable for various applications in optical metrology and biomedical science.
Article
Optics
Jiaxin Li, Zhiqiang Guan, Hong-Chao Liu, Zhixue He, Zile Li, Shaohua Yu, Guoxing Zheng
Summary: This study proposes a cryptographic system based on indirect-observation decryption, which can decode hidden information by combining special decryption devices and metasurface-transformed ciphertext, ensuring high confidentiality. In addition, an anti-counterfeiting label is designed to ensure information authenticity. This work bridges the gap between metasurfaces and other light-manipulation elements, nanoprint, hologram, and amplitude- and phase-modulated information, providing a new approach for constructing cryptographic systems and promoting the exploration of optical multiplexing and steganography.
LASER & PHOTONICS REVIEWS
(2023)
Review
Chemistry, Multidisciplinary
Haoyun Bai, Jinxian Feng, Di Liu, Pengfei Zhou, Rucheng Wu, Chi Tat Kwok, Weng Fai Ip, Wenlin Feng, Xulei Sui, Hongchao Liu, Hui Pan
Summary: This review discusses the recent development of spin catalysts and explores the origins for the improved catalytic activity. Firstly, an introduction is given on the applications and advances in spin-related catalytic phenomena, followed by the fundamental principles of spin catalysts and magnetic fields-radical reactions. The spin-related catalytic performance reported in oxygen evolution/reduction reaction (OER/ORR) is systematically discussed, and general rules are summarized accordingly. Finally, the challenges and perspectives are provided.
Article
Materials Science, Multidisciplinary
Fanghua Liang, Huilong Dong, Zhuyu Ji, Wei Zhang, Haifeng Zhang, Chunyan Cao, Heng Li, Hongchao Liu, Ke-Qin Zhang, Yuekun Lai, Yuxin Tang, Mingzheng Ge
Summary: Researchers addressed the challenge of developing high-capacity electrode materials with large energy storage and ultrafast charging capability by constructing composite electrodes of SnO2 nanodots and Sn nanoclusters embedded in hollow porous carbon nanofibers. The interconnected carbon nanofiber networks promoted fast electron transport and the hierarchical hollow and porous structure facilitated rapid Li-ion diffusion and alleviated volume expansion. The SnO2@HPCNFs exhibited high capacity and the Sn@HPCNFs displayed fast charging capability, providing insight into the construction of high-capacity anode materials for high-performance energy storage devices.
SCIENCE CHINA-MATERIALS
(2023)
Article
Physics, Applied
Hongzhou Chen, Zhenyu Duan, Chunying Guan, Shan Gao, Peng Ye, Yan Liu, Jing Yang, Hongchao Liu, Jinhui Shi, Jun Yang, Libo Yuan
Summary: In this study, a compact all-fiber speckle spectrometer was constructed using cascading coreless fibers and photonic crystal fibers, achieving high resolution performance. The proposed fiber structure generates more guided modes and forms speckle patterns through modal interferences. With a 10 cm-long fiber, a resolution of 0.03 nm over a bandwidth from 1540 to 1560 nm was achieved. The performance of this spectrometer surpasses that of a 2 m multimode fiber spectrometer and is approximately 20 times higher than that of the same length multimode fiber.
APPLIED PHYSICS LETTERS
(2023)
Article
Optics
Ya-Nan Zhao, Hong-Yun Hou, Jia-Cheng Han, Shan Gao, Sheng-Wei Cui, De-Zhong Cao, Bao-Lai Liang, Hong-Chao Liu, Su-Heng Zhang
Summary: SPPM is a novel common-path quantitative phase imaging method that can acquire the amplitude and phase information of transmissive objects without the need for a 4f system. It adopts the phase-modulated detection mode to make the experimental setup more compact and practical. By utilizing a single microscopy objective and a collecting lens, SPPM achieves Hadamard basis scan phase imaging and Fourier basis scan phase imaging with a single photomultiplier tube. The experimental results demonstrate clear imaging, accurate phase measurement, and high spatial resolution up to 2.19 μm.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Optics
Zihan Gao, Minghui LI, Peixia Zheng, Jiahao Xiong, Xuan Zhang, Zikang Tang, Hong-Chao Liu
Summary: Based on computational ghost imaging (CGI), a new imaging technique, feature ghost imaging (FGI), is presented, which converts color information into distinguishable edge features in retrieved grayscale images. With the extraction of edge features by different order operators, FGI can simultaneously obtain the shape and color information of objects in a single-round detection using one single-pixel detector. Numerical simulations demonstrate the feature distinction of rainbow colors, and experimental verification of FGI's practical performance is conducted. FGI extends the function and application fields of traditional CGI while maintaining the simplicity of the experimental setup.
Article
Optics
Z. H. I. Y. U. A. N. Ye, W. A. N. T. I. N. G. Hou, J. I. L. U. N. Zhao, Hai-bo Wang, J. U. N. Xiong
Summary: Since 2009, there has been a paradigm shift from pseudo-thermal ghost imaging (GI) to computational GI, which allows image formation using a single-pixel detector and has cost-effective advantages in certain unconventional wave bands. In this letter, we propose a computational holographic ghost diffraction (CH-GD) paradigm that replaces classical ghost diffraction (GD) with computational methods by measuring field correlation functions instead of intensity correlation functions. CH-GD not only allows the observation of diffraction patterns but also retrieves the complex amplitude of the diffracted light field, enabling digital refocusing and the potential to obtain multi-modal information in a compact and lensless manner.
Article
Physics, Multidisciplinary
Shaojie Ma, Hongwei Jia, Yangang Bi, Shangqiang Ning, Fuxin Guan, Hongchao Liu, Chenjie Wang, Shuang Zhang
Summary: Due to the chiral nature of Weyl nodes, a Weyl system exhibits one-way chiral zero modes under a magnetic field, which is known as the chiral anomaly. By coupling a Yang monopole with an external gauge field, we experimentally demonstrate the existence of a gapless chiral zero mode using an inhomogeneous Yang monopole metamaterial. The judiciously designed metallic helical structures and the corresponding effective antisymmetric bianisotropic terms enable control of gauge fields in a synthetic five-dimensional space.
PHYSICAL REVIEW LETTERS
(2023)
Article
Physics, Applied
Zhan-Dong Liu, Zong-Guo Li, Ya-Nan Zhao, Su-Heng Zhang, Zhi-Yuan Ye, De-Jian Zhang, Hong-Chao Liu, Jun Xiong, Hong-Guo Li
Summary: In this paper, a universal mechanism is proposed to improve Fourier single-pixel imaging (FSI) by allowing the use of arbitrary periodic structured illumination instead of solely cosinusoidal illumination patterns. The proposed theory is validated through numerical simulations and optical experiments. Various structured illumination patterns, including phase-shifting sawtooth, trapezoid, square, and binary, are used to demonstrate the efficiency and versatility of FSI in different scenarios.
PHYSICAL REVIEW APPLIED
(2023)
Article
Physics, Applied
Huiquan Li, Wanting Hou, Zhiyuan Ye, Tianyu Yuan, Shangkun Shao, Jun Xiong, Tianxi Sun, Xuepeng Sun
Summary: Ghost imaging is a technique that uses a single-pixel detector and structured illumination for compressive and lens-free image formation. The resolution in most x-ray ghost imaging schemes is limited by the unit size of structured illumination. To overcome this limitation, we introduced polycapillary optics into x-ray ghost imaging, which improved the resolution by approximately 3 times.
APPLIED PHYSICS LETTERS
(2023)
Article
Optics
Xin Liu, Yimin Lou, Hong-Chao Liu, Juanmei Hu, Zongsuo Liang, Fengmin Wu
Summary: This article proposes and demonstrates a dynamic holographic stereogram rendering technique using temporal and perspective coherence. It addresses the issue of efficiently recording time-varying 3D images in previous holographic rendering methods. A unified mathematical model is used to generate light field images of dynamic holographic stereograms in EPIpolar coordinates. Temporal coherence is applied to simplify the rendering of action key frames, while perspective coherence is used to render light field images between adjacent action key frames. Parallel computing technology is utilized to accelerate the rendering, achieving an average speed-up of 378.8% compared to traditional serial per-viewpoint rendering algorithms. The effectiveness of the proposed method is validated through the demonstration of vivid and striking 3D animations using a custom holographic printing system. These results pave the way for the development of high-performance dynamic holographic stereograms in various applications such as 3D display, visual security, and virtual/augmented reality.
OPTICS AND LASERS IN ENGINEERING
(2023)
Editorial Material
Optics
Peixia Zheng, Xuan Zhang, Hong-Chao Liu
Summary: A multi-foci metalens and a leaky-mode microtaper are used to create high-resolution, broadband, and compact spectrometers.
LIGHT-SCIENCE & APPLICATIONS
(2023)
Article
Physics, Applied
Zhiyuan Ye, Chenjie Zhou, Chen-Xin Ding, Jilun Zhao, Shuming Jiao, Hai-Bo Wang, Jun Xiong
Summary: In this paper, a nonlocal optical information-processing system called ghost diffractive deep neural networks (GD2NNs) is proposed, which combines traditional ghost diffraction with cascaded diffraction layers learned with use of diffractive deep neural networks. The system uses light's second-order coherence to enable image-free and interferometer-free coherent beam-demanded phase-object sorting with thermal light. Furthermore, GD2NNs convert the general encoder-decoder-detector cascaded framework into a parallel one, resulting in no optical interaction between the encoder and the decoder.
PHYSICAL REVIEW APPLIED
(2023)
