Article
Optics
Gaston A. Ayubi, M. Fernandez Lakatos, Nicolas Casaballe, Erna Frins
Summary: A new quantitative approach for phase retrieval is presented, which is derived from analyzing the light intensity propagation through a phase object and a sinusoidal intensity mask. Unlike the Transport of Intensity Equation (TIE), this new algorithm is simpler as it does not involve the Laplacian of the phase, and it can be easily implemented in practical applications.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Optics
Haixin Luo, Jie Xu, Liyun Zhong, Xiaoxu Lu, Jindong Tian
Summary: Digital holography based on lensless imaging is a developing method used in microscopy for micro-scale measurement. A single-shot approach using deep learning and physical models is proposed and constructed, breaking through the limitations of physical devices and demonstrating qualified generalization ability for samples with different morphologies.
Article
Optics
Chen Fan, Junxiang Li, Yijun Du, Zirui Hu, Huan Chen, Gaopeng Zhang, Lu Zhang, Zixin Zhao, Hong Zhao
Summary: We propose a novel, accurate, full-field, dynamic quantitative phase imaging (QPI) technique using multi-wavelength multiplexing and multi-plane iterative phase retrieval algorithm. Our method utilizes a liquid crystal spatial light modulator to generate multiple defocus intensity images simultaneously with different wavelengths. These images are captured by two color cameras for accurate dynamic phase reconstruction using a multi-plane iterative algorithm based on the transport of intensity equation (TIE). Experimental results on various samples demonstrate the accuracy, dynamic measurement ability, and flexibility of our method, which also effectively compensates for errors caused by color coupling and chromatic aberration in the optical system.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Thang L. Nguyen, Soorya Pradeep, Robert L. Judson-Torres, Jason Reed, Michael A. Teitell, Thomas A. Zangle
Summary: Quantitative phase imaging (QPI) is a label-free, wide-field microscopy technique with significant applications in biomedical research. It quantifies biomass distribution and changes by measuring the natural phase shift of light passing through a transparent object. QPI has been used to study cell size, morphology, behavior, drug efficacy, and more, supporting research in development, physiology, neural activity, cancer, and other fields.
Article
Optics
Chen Fan, Hong Zhao, Zixin Zhao, Junxiang LI, Yijun DU, Xingyu Yang, Lu Zhang
Summary: We propose a novel single-shot quantitative phase imaging technique using a liquid crystal spatial light modulator (LC-SLM) under white light illumination. By studying the phase modulation characteristics of an LC-SLM under white light illumination, images captured at different wavelengths are equivalent to those captured at different defocus distances. The phase is retrieved from a single-shot color image using the transport of intensity equation. The proposed method shows flexibility and accuracy in quantitative phase imaging of various samples.
Article
Optics
Changchun Lu, You Zhou, Yanxun Guo, Shaowei Jiang, Zibang Zhang, Guoan Zheng, Jingang Zhong
Summary: The study presents a mask-modulated lensless imaging platform based on translated structured illumination for high-resolution complex-valued object image recovery without involving mechanical scanning. By using an LED array to provide angle-varied illumination, regularized ptychographic iterative engine is employed in the reconstruction process, demonstrating higher resolution and better quality recovery compared to previous implementations.
Article
Engineering, Electrical & Electronic
Miguel Moscoso, Alexei Novikov, George Papanicolaou, Chrysoula Tsogka
Summary: We present an algorithm for coherent diffractive imaging with phaseless measurements, which can reconstruct the absorption and phase contrast of the object. The computational cost of the algorithm is linear in the number of pixels, making it efficient for high-resolution imaging. Numerical experiments validate the efficiency and precision of the suggested algorithm.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2022)
Article
Optics
Yuanyuan Liu, Qingwen Liu, Shuangxiang Zhao, Wenchen Sun, Bingxin Xu, Zuyuan He, Junyong Zhang
Summary: This paper proposes an innovative setup for single-exposure multi-wavelength diffraction imaging based on a blazed grating, which allows the separation and recording of diffraction patterns for individual wavelengths in a single measurement. The method achieves good image quality and high resolution through high-precision position alignment. Experimental results on resolution targets and biological samples verify the effectiveness of the proposed method, highlighting the advantages of a simpler structure, fast recording, and algorithm robustness.
Article
Engineering, Electrical & Electronic
Xianye Li, Yafei Sun, Yikang He, Xun Li, Baoqing Sun
Summary: A novel QPI scheme inspired by single-pixel camera (SPC) is proposed in this work, utilizing structured illumination and single-pixel signals for image reconstruction without prior information of the targets. The scheme exhibits great performance even with objects in an extremely rough phase distribution in both simulation and experiment.
Article
Multidisciplinary Sciences
Jeonghun Oh, Herve Hugonnet, YongKeun Park
Summary: The authors propose a holographic image sensor that can reconstruct the complex amplitude of scattered light from a single-intensity image using reciprocal diffractive imaging. This allows for holographic imaging of three-dimensional diffusive objects and potential applications in both static and dynamic conditions.
NATURE COMMUNICATIONS
(2023)
Article
Optics
Yuanyuan Liu, Qingwen Liu, You Li, Bingxin Xu, Junyong Zhang, Zuyuan He
Summary: Multi-wavelength imaging diffraction system is a promising phase imaging technology with advantages of no mechanical movement and low complexity. Spectral bandwidth and dispersion correction are critical for high resolution reconstruction in this system. Using three beams with different wavelengths and robust refocusing technique for chromatic correction, high-resolution images can be retrieved through a phase retrieval algorithm, demonstrating the potential as an alternative technology for quantitative biological imaging.
Article
Optics
Yunhui Gao, Liangcai Cao
Summary: This work proposes a generalized algorithmic framework for pixel-super-resolved phase retrieval and introduces iterative projection algorithms and gradient descent algorithms to solve the problem. The Wirtinger-PSR algorithm, as an example, has been validated with simulated and experimental data and shows versatility in various physical settings, helping to bridge the gap between empirical studies and theoretical analyses.
Article
Chemistry, Analytical
Sarinporn Visitsattapongse, Kitsada Thadson, Suejit Pechprasarn, Nuntachai Thongpance
Summary: This study proposes a theoretical framework to analyze and quantify the performance of a deep learning-based phase retrieval algorithm for quantitative phase imaging microscopy by comparing recovered phase images to their theoretical phase profile. The research demonstrates that phase images recovered using deep learning can be robust and reliable depending on the sample and the input to the deep learning.
Article
Optics
Meng Li, Liheng Bian, Jun Zhang
Summary: This study reports a multi-slice coded coherent diffraction imaging (CDI) technique that enables high-fidelity reconstruction of thick objects. It overcomes the limitations of traditional coded CDI when dealing with thick objects.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Optics
Dongyu Yang, Junhao Zhang, Ye Tao, Wenjin Lv, Shun Lu, Hao Chen, Wenhui Xu, Yishi Shi
Summary: Deep CDI is a physics-driven untrained learning method that can reconstruct complex scenes from a single diffraction pattern with high confidence and fast reconstruction of dynamic processes.
Article
Neurosciences
Xueling Suo, Chao Zuo, Huan Lan, Wenbin Li, Lingjiang Li, Graham J. Kemp, Song Wang, Qiyong Gong
Summary: This study found that patients with posttraumatic stress disorder (PTSD) have abnormal brain functional networks, characterized by decreased network switching rates in the frontoparietal, default mode, and limbic networks, as well as frontal and temporal regions. These disruptions in dynamic functional network stability are related to the severity of PTSD symptoms.
BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING
(2023)
Article
Optics
Bowen Wang, Sheng Li, Qian Chen, Chao Zuo
Summary: In this Letter, a new long-range synthetic aperture Fourier ptychographic imaging technique, named learning-based single-shot synthetic aperture imaging (LSS-SAI), is reported. LSS-SAI utilizes a camera array to capture low-resolution intensity images corresponding to different non-overlapping spectral regions, which are combined to reconstruct a high-quality super-resolved image using a physical model-based dual-regression deep neural network. Experimental results demonstrate improved peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) using LSS-SAI, and the demonstration of macroscopic Fourier ptychography to single-shot synthetic aperture imaging of dynamic events for the first time.
Article
Optics
Maria Cywinska, Konstanty Szumigaj, Michal Kolodziej, Krzysztof Patorski, Vicente Mico, Shijie Feng, Chao Zuo, Maciej Trusiak
Summary: This study addresses the advantages and disadvantages of different variational image decomposition (VID) models in the context of fringe pattern prefiltration, and proposes an unsupervised VID (uVID) algorithm for automatic, accurate, and robust preprocessing of diverse fringe patterns. The uVID algorithm introduces the use of a convolutional neural network (DeepVID) to determine the required number of iterations in the Chambolle projection algorithm, reducing the calculation time.
Article
Optics
Yao Fan, Jiasong Sun, Yefeng Shu, Zeyu Zhang, Qian Chen, Chao Zuo
Summary: Quantitative phase imaging (QPI) by differential phase contrast (DPC) with partially coherent illumination shows potential in biomedical imaging, with speckle-free imaging and improved lateral resolution. This paper analyzes the weak object approximation condition and provides a precise definition applicable to all samples and illumination apertures. An iterative deconvolution QPI technique based on pseudo-weak object approximation is proposed to overcome the limitations of DPC for large-phase samples without additional data acquisition. Experiments demonstrate the effectiveness of the proposed method for high-precision three-dimensional morphological characterization of large-phase technical and biological samples.
PHOTONICS RESEARCH
(2023)
Article
Biochemical Research Methods
Ying Ma, Taiqiang Dai, Lan Yu, Lin Ma, Sha An, Yang Wang, Min Liu, Juanjuan Zheng, Liang Kong, Chao Zuo, Peng Gao
Summary: Reflective quantitative differential phase microscopy (RQDPM), based on polarized wavefront phase modulation and partially coherent full-aperture illumination, is a label-free and nondestructive technique. RQDPM has high spatial resolution and spatio-temporal phase sensitivity, and is applicable to opaque surfaces and turbid biological specimens. RQDPM can be easily switched from reflectional mode to transmission mode and provides topography for opaque surfaces. We experimentally demonstrate the reflectional phase imaging ability of RQDPM with various samples and dynamically monitor the flow state of microspheres in a self-built microfluidic channel by using RQDPM converted into the transmission mode.
JOURNAL OF BIOPHOTONICS
(2023)
Article
Chemistry, Multidisciplinary
Yongtao Liu, Jiajia Zhou, Shihui Wen, Fan Wang, Hongjun Wu, Qian Chen, Chao Zuo, Dayong Jin
Summary: Multiphoton upconversion super-resolution microscopy (MPUM) is a promising imaging modality that achieves increased resolution and penetration depth through the use of nonlinear near-infrared emission light. However, high excitation power is required for emission saturation, leading to increased phototoxicity. In this study, the authors propose a simple on-chip mirror design that allows for nonlinear saturation emission under low excitation power. This method significantly decreases the excitation power and enables a lateral resolution of around 35 nm in imaging single nanoparticles on-chip. The findings offer a straightforward solution for enhancing super-resolution imaging using pre-designed on-chip devices.
Article
Optics
Xinming Guo, Yixuan Li, Jiaming Qian, Yuxuan Che, Chao Zuo, Qian Chen, Edmund Y. Lam, Huai Wang, Shijie Feng
Summary: Temporal phase unwrapping is an important method for recovering discontinuous surfaces or spatially isolated objects in fringe projection profilometry. Existing algorithms can be classified into three types, but all require additional fringe patterns of different frequencies to retrieve the absolute phase. Image noise limits the efficiency and speed of phase unwrapping. This work shows for the first time that a generalized framework using deep learning can effectively mitigate noise and enhance phase unwrapping reliability, without increasing the number of auxiliary patterns. The proposed method has great potential for developing powerful and reliable phase retrieval techniques.
Article
Optics
Chu Xu, Ran Ye, Pengxin Zou, Tianyu Yang, Sorin Melinte, Zengbo Wang, Chao Zuo
Summary: Microsphere-assisted super-resolution imaging is a promising technique for enhancing the resolution of optical microscopes. Coating microspheres with metal films can generate photonic hooks that improve imaging contrast. This study demonstrates that patchy particles can focus and engineer light waves, generating S-shaped photonic hooks with longer effective length and smaller beam waist compared to classical photonic hooks. Experimental results confirm the generation of both classical and S-shaped photonic hooks from patchy microspheres.
Article
Optics
Jie Zhou, Yanbo Jin, Linpeng Lu, Shun Zhou, Habib Ullah, Jiasong Sun, Qian Chen, Ran Ye, Jiaji Li, Chao Zuo
Summary: A new technique of deep learning-based pixel-super-resolved quantitative phase microscopy is proposed, which enables high-quality phase reconstruction from low-resolution intensity measurement. This technique shows potential applications in high-throughput cellular dynamics analysis and has been successfully implemented in bright-field microscopes.
LASER & PHOTONICS REVIEWS
(2023)
Article
Physics, Multidisciplinary
Wenjian Wang, Nauman Ali, Ying Ma, Zhao Dong, Chao Zuo, Peng Gao
Summary: In this paper, a novel approach for quantitative phase microscopy (QPM) using deep learning is proposed to accurately reconstruct the phase image of transparent specimens from a defocus bright-field image. A U-net based model is trained to learn the mapping relation between the defocus intensity image and the phase distribution of the sample. After training with a large data set of off-axis holograms and defocused bright-field images, the network can quickly and accurately reconstruct the phase information from a defocus bright-field intensity image. This method is expected to have wide applications in life science and industrial detection.
FRONTIERS IN PHYSICS
(2023)
Editorial Material
Multidisciplinary Sciences
Chao Zuo, Qian Chen
CHINESE SCIENCE BULLETIN-CHINESE
(2023)
Article
Materials Science, Multidisciplinary
Sheng Li, Bowen Wang, Kunyao Liang, Qian Chen, Chao Zuo
Summary: The remote Fourier ptychography (R-FP) technique is a promising super-resolution tool in non-interferometric synthetic aperture research. It overcomes the limitations of field-of-view attenuation and speckle noise in long-range FP imaging by utilizing quasi-plane wave illumination and the TVGF method. R-FP achieves the farthest detection range of macroscopic Fourier ptychographic imaging to date, showing potential for application in far-field detection.
ADVANCED PHOTONICS RESEARCH
(2023)
Article
Optics
Wei Yin, Yifan Ji, Juntong Chen, Rui Li, Shijie Feng, Qian Chen, Bing Pan, Zhenyu Jiang, Chao Zuo
Summary: This paper proposes a fast and robust stereo matching method using geometric constraints for Stereo-DIC, which improves the accuracy and robustness of matching while speeding up the computation. Experimental results demonstrate the advantages of this method in terms of high precision and computational efficiency.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Crystallography
Xu Xin-ao, Li Yi-xuan, Qian Jia-ming, Feng Shi-jie, Zuo Chao
Summary: Three-dimensional shape measurement is crucial in various fields. Fringe projection profilometry, known for its high precision, full field of view, and noncontact features, is the most widely used optical method. This paper proposes a real-time high-precision model reconstruction method based on global optimization, which improves the accuracy and stability of global point cloud registration. Experimental results demonstrate that this method achieves higher precision and stable global point cloud registration compared to current real-time methods. Moreover, it can robustly complete 3D model reconstruction, even in dynamic scenes.
CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS
(2023)
Article
Optics
Yin Xiao, Lina Zhou, Wen Chen
Summary: This paper introduces a correspondence imaging approach for reconstructing high-quality objects through complex scattering media. By deriving a rectified theory and introducing temporal correction, the proposed method eliminates the effect of dynamic scaling factors. Experimental results demonstrate the advantages of the proposed method over conventional methods in complex scattering environments, and it can also be combined with other methods to further enhance the quality of reconstructed objects.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Zengxuan Jiang, Minghao Chao, Qingsong Liu, Bo Cheng, Guofeng Song, Jietao Liu
Summary: In this paper, a multi-focal metalens with high focusing efficiency controlled by circular polarization multiplexing is demonstrated. The metalens can generate four transversely distributed focal points under normal incidence of linearly polarized light, supporting both left-circularly polarized and right-circularly polarized conversion. Furthermore, an oblique incidence metalens is designed to achieve high total focusing efficiency for terahertz waves and provides potential new applications for polarization imaging and detection.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Yiran Wang, Yu Ji, Xuyang Zhou, Xiu Wen, Yutong Li, Zhengjun Liu, Shutian Liu
Summary: This work presents a new reconstruction framework for structured illumination microscopy (SIM), which only requires four raw images and avoids extensive iterative computation. By using checkerboard pattern illumination modulation instead of sinusoidal fringe illumination, the proposed method significantly reduces image acquisition time and achieves higher image reconstruction rate. Additionally, the reconstruction process is non-iterative and not limited by the field of view size.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Qian He, Li Pei, Jianshuai Wang, Jingjing Zheng, Tigang Ning, Jing Li
Summary: This paper proposes a 3D refractive index profile visualization method to demonstrate mode activation and evolution in fiber fusion splicing. The method is validated through experimental results and provides support for various fiber splicing operations and mode coupling modulation.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Qiwei Li, Qiyu Wang, Fang Lu, Yang Cao, Xu Zhao
Summary: LSHIP is a lenslet-array-based snapshot hyperspectral imaging polarimeter that combines spectral polarization modulation with integral field imaging spectrometry. It can simultaneously acquire three-dimensional spatial and spectral data-cubes for linear Stokes parameters in a single snapshot.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Huicong Li, Bing Lv, Meng Tian, Wenzhu Huang, Wentao Zhang
Summary: This study proposes a temperature compensation scheme for unbalanced interferometers using sensing fibers with different temperature coefficients, aiming to resolve the temperature disturbance and achieve high strain resolution. The experimental results confirm the effectiveness of the proposed scheme in high-resolution, long-term, low-frequency, and static strain sensing.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Hongxiang Chang, Rongtao Su, Yuqiu Zhang, Bowang Shu, Jinhu Long, Jinyong Leng, Pu Zhou
Summary: High-speed variable-focus optics provides new opportunities for fiber laser applications in various fields. This paper investigates a non-mechanical axial focus tuning method using coherent beam combining (CBC) technique and proposes a tilt modulation assisted method to extend the tuning range.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Yubo Ni, Shuai Fu, Chaoyang Su, Zhaozong Meng, Nan Gao, Zonghua Zhang
Summary: This paper proposes a surface adaptive fringe pattern generation method to accurately measure specular surfaces, eliminating the out-of-focus effect and improving measurement accuracy and reliability.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Zifan Wang, Tianfeng Zhou, Qian Yu, Zihao Zeng, Xibin Wang, Junjian Hu, Jiyong Zeng
Summary: Fast-axis collimation (FAC) lens arrays are crucial in laser systems, and their precision can be improved through the development of an optical collimation system and the use of thermal compensation to correct for non-uniform thermal expansion.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Jincheng Chen, Qiuyu Fang, Li Huang, Xin Ye, Luhong Jin, Heng Zhang, Yinqian Luo, Min Zhu, Luhao Zhang, Baohua Ji, Xiang Tian, Yingke Xu
Summary: This study developed a novel deep learning accelerated SRRF method that enables super-resolution reconstruction with only 5 low SNR images, and allows real-time visualization of microtubule dynamics and interactions with CCPs.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Pan Liu, Yongqiang Zhao, Ning Li, Kai Feng, Seong G. Kong, Chaolong Tang
Summary: This article presents a technique for inverse design of multilayer deep-etched gratings (MDEG) using a deep neural network with adaptive solution space. The proposed method trains a deep neural network to predict the probability distribution across the discretized space, enabling evaluation of an optimal solution. The results show improved efficiencies using only a reduced dataset and avoiding one-to-many mapping challenges.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Evelina Bibikova, Nazar Al-wassiti, Nataliya Kundikova
Summary: Light beams possess three types of angular momentum, namely spin angular momentum, extrinsic orbital angular momentum, and intrinsic orbital angular momentum. The interaction between these momenta leads to the spin-orbit interaction of light and topological effects. This study predicts a new topological effect resulting from the influence of extrinsic orbital angular momentum on spin angular momentum in converging asymmetrical light beams. It manifests as the transformation of linear polarized light into elliptically polarized light when an asymmetrical beam passes through the left or right half of the focal plane. The measured value of the topological circular amplitude anisotropy R was found to be R = +/- (0.60 +/- 0.08) x 10(-3). This new effect contributes to our understanding of light and has potential applications in developing sensors in optics.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Hamdy H. Wahba
Summary: This study combines multiple-beam Fizeau interference and single-shot digital holographic interferometry to study thick phase objects. By collecting optical phase at different focal planes, the angular spectrum method is used for the first time to retrieve optical phase maps through the focal depth. The proposed method proves to be effective in providing accurate numerical focusing and phase maps reconstruction.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Mohammed A. Isa, Richard Leach, David Branson, Samanta Piano
Summary: Due to the complexity of resolving object form and pose in images, new vision algorithms prioritize identification and perception over accurate coordinate measurement. However, the use of planar targets for coordinate measurement in vision systems has several drawbacks, including calibration difficulties and limited viewing angles. On the other hand, the use of sphere targets is infrequent in vision-based coordinate metrology due to the lack of efficient multi-view vision algorithms for accurate sphere measurements.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Ildar Rakhmatulin, Donald Risbridger, Richard M. Carter, M. J. Daniel Esser, Mustafa Suphi Erden
Summary: This paper reviews the application of machine learning in laser systems. While machine learning has been widely used in general control automation and adjustment tasks, its application in specific tasks requiring skilled workforces for high-precision equipment assembly and adjustment is still limited. The paper presents promising research directions for using machine learning in mirror positional adjustment, triangulation, and optimal laser parameter selection, based on the recommendations of PRISMA.
OPTICS AND LASERS IN ENGINEERING
(2024)
