Hongda Quan , Lingbao Kong , Yifan Wang , Shenyan Zhang , Hao Ouyang , Jinlian Zheng
{"title":"An enhanced virtual phase contrast method for brightfield microscopy based on asymmetric illumination and deep learning acceleration","authors":"Hongda Quan , Lingbao Kong , Yifan Wang , Shenyan Zhang , Hao Ouyang , Jinlian Zheng","doi":"10.1016/j.optlaseng.2025.109278","DOIUrl":"10.1016/j.optlaseng.2025.109278","url":null,"abstract":"<div><div>Brightfield microscopy remains a vital tool in biomedical research. However, when it comes to non-invasive imaging of unstained samples, its ability to provide clear visualization is limited. Although standard phase-contrast microscopy can address this issue, the need for matching annular stop and objective lens increases system complexity and cost. Additionally, the light restrictions imposed by the annular stop result in darker images, posing challenges for image acquisition. To overcome these challenges, this paper proposes an enhanced virtual phase contrast (VPC) method for brightfield microscopy based on asymmetric illumination and deep learning acceleration, combining brightfield and phase contrast microscopy advantages while mitigating their respective limitations. By utilizing a cylindrical lens to modulate the wavevector components of the illumination light, addressing the unreliability of directly generating virtual phase contrast images from brightfield images that lack phase information. Additionally, a data-driven conditional generative adversarial network (CGAN) with confidence maps is employed to accelerate the transformation of brightfield microscopy images into VPC images. Experimental results indicate that the reconstructed VPC images achieve image quality on par with conventional DPC images, and in certain scenarios, outperform them in terms of contrast and detail preservation. Furthermore, the proposed method demonstrates strong performance in applications such as cell counting and segmentation, providing an effective approach for enhancing brightfield microscopy images without requiring specialized phase contrast equipment.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"195 ","pages":"Article 109278"},"PeriodicalIF":3.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A cone array calibration-based line laser triangulation method for freeform surface measurement independent of motion device precision","authors":"Lei Wang, Haobin Yang, Jing Jiang, Feng Zhang","doi":"10.1016/j.optlaseng.2025.109272","DOIUrl":"10.1016/j.optlaseng.2025.109272","url":null,"abstract":"<div><div>In the field of freeform surface measurement, line laser triangulation is a widely used technique for acquiring high-precision depth information in a single scan. Nevertheless, the measurement performance is considerably limited by the strict constraints of the scanning path during the entire measurement process. This paper presents a novel line laser triangulation measurement approach based on a cone array calibration target. By utilizing this target, the position of the line laser camera can be calibrated in real-time, enabling surface measurements with a single camera. Importantly, the measurement accuracy is independent of the motion precision and installation accuracy of the line laser camera. The paper provides a rigorous mathematical proof of the method’s feasibility and outlines a comprehensive measurement procedure. To validate the proposed approach, a full measurement platform was developed using computer-aided technology, and extensive experimental tests were conducted. The results demonstrate that the cone array calibration method can effectively and accurately perform surface measurements, providing a high-precision solution for challenging measurement scenarios in spatially constrained or easily interfered environments.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"195 ","pages":"Article 109272"},"PeriodicalIF":3.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wan-Hee Han , Sang-Wook Lee , Jiseok Lim , No-Cheol Park , Wan-Chin Kim
{"title":"Design and feasibility study on a compact wide-field LiDAR optical system using polygonal mirrors","authors":"Wan-Hee Han , Sang-Wook Lee , Jiseok Lim , No-Cheol Park , Wan-Chin Kim","doi":"10.1016/j.optlaseng.2025.109273","DOIUrl":"10.1016/j.optlaseng.2025.109273","url":null,"abstract":"<div><div>This study presents the design and feasibility of a compact LiDAR optical system using polygonal mirrors (PM) with varying pyramidal angles for autonomous vehicle applications. Conventional LiDAR systems face challenges in miniaturization, cost reduction, and field of view limitations, particularly in vertical and horizontal scanning. The proposed PM-based optical system achieves a horizontal field of view (H-FoV) of 120° and a vertical field of view (V-FoV) over 25°, utilizing a cylindrical light beam incident on the PM with facets having differing pyramidal angles. Through theory-based calculation and far-field analysis, the system demonstrates improved vertical steering and minimal overlap between facets, enabling efficient three-dimensional spatial detection. Additionally, the optical design for the receiving system, integrated with a one-dimensional single-photon avalanche diode (SPAD) array, ensures high detection accuracy and compactness. The study verifies the system's feasibility through point cloud simulations, making it suitable for high-speed LiDAR applications in autonomous vehicles and other spatial detection scenarios.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"195 ","pages":"Article 109273"},"PeriodicalIF":3.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144867343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An element image array generation algorithm for enhancing the depth of field quality of 3D reproduction based on multi-depth fusion","authors":"Lu Wang, Yu Wang, Quanyang Liu","doi":"10.1016/j.optlaseng.2025.109282","DOIUrl":"10.1016/j.optlaseng.2025.109282","url":null,"abstract":"<div><div>Monocular-vision-based integral imaging (InIm) offers significant potential for three-dimensional (3D) visualization, enabling naked-eye 3D viewing through a straightforward acquisition process followed by computational imaging. However, the stacking of diffused circles during 3D reconstruction results in a narrow depth-of-field (DOF) range for high-quality display, limiting the widespread adoption of this technology. To address this limitation and enhance display quality, this study presents a multi-depth fusion-based algorithm for generating element image arrays (EIAs). The proposed algorithm leverages the depth information of the 3D scene and display device parameters to construct an adaptive hierarchical model. By incorporating characteristics of the human visual system (HVS) and light field depth cues, it introduces a depth-difference-driven Gaussian fusion coding method. The resulting EIA achieves enhanced 3D reproduction quality within a specified depth range. Simulation and reconstruction experiments were performed on the system's center depth plane (CDP) and two extreme DOF planes. Results demonstrate that the proposed algorithm outperforms comparative methods in the objective metrics of peak signal-to-noise ratio (PSNR) and structural similarity (SSIM), validating its effectiveness.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"195 ","pages":"Article 109282"},"PeriodicalIF":3.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144867352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"3D micromorphological reconstruction and roughness measurement based on shape from focus and error propagation analysis","authors":"Jiqiang Chen, Yuezong Wang","doi":"10.1016/j.optlaseng.2025.109277","DOIUrl":"10.1016/j.optlaseng.2025.109277","url":null,"abstract":"<div><div>This study introduces a unified metrological model to enhance SFF-based 3D roughness measurement accuracy in the presence of depth, tilt, and random errors. A novel aspect of this research is the development of a unified error propagation model that quantitatively maps and integrates depth, tilt-induced deviations, and random uncertainties, marking a significant departure from traditional SFF methods. The method includes an adaptive depth estimation strategy based on curve morphology perception and gradient profile analysis, ensuring robust peak localization even under challenging conditions such as multi-peak and offset focus curves. Furthermore, an adaptive smoothing filter, guided by the gradient field of the all-in-focus image, strikes an optimal balance between noise suppression and detail preservation. Tilt correction is addressed through a method combining least-squares plane fitting with Rodrigues’ rotation theory, supplemented by a quadratic polynomial fitting approach to effectively compensate for residual errors. These integrated techniques substantially enhance the accuracy and stability of 3D surface roughness measurements. Extensive simulations and physical experiments validate the method, maintaining a consistent relative error of Sa between 0.23 % and 0.63 % across three types of laser-processed surfaces. For step surfaces with heights of 50 µm, 100 µm, and 150 µm, the relative error remains below 1.5 %. The proposed method offers a cost-effective, reliable solution suitable for applications including additive manufacturing, semiconductor packaging, and tool wear monitoring.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"195 ","pages":"Article 109277"},"PeriodicalIF":3.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144867495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hang Zhang , Tianyi Liu , Kun Tang , Jian Liu , Weidong Tang , Wentao Wang
{"title":"Superpixel-based regional anomaly detection for LED chips using local statistical features","authors":"Hang Zhang , Tianyi Liu , Kun Tang , Jian Liu , Weidong Tang , Wentao Wang","doi":"10.1016/j.optlaseng.2025.109281","DOIUrl":"10.1016/j.optlaseng.2025.109281","url":null,"abstract":"<div><div>The quality control of light-emitting diode (LED) chip constitutes a pivotal stage in the production process. The utilization of machine vision provides an effective methodology for the identification of defects in LED chips. However, the diverse visual characteristics of chip defects, in conjunction with the limited amount of available defect data present a significant challenge to the effective detection of chip defects. To address this problem, a superpixel-based regional anomaly detection method is proposed using local statistical features (SRAD-LSF) for diverse LED chips. Initially, an improved superpixel segmentation method is proposed based on the reconstructed colour channel, with the objective of recalling accurate boundary details and providing higher-level statistical information. Subsequently, a chip image feature extraction is proposed using local statistical information, including colour and position features in an efficient manner. Based on the extracted local statistical features, an unsupervised region segmentation and anomaly detection methods are proposed for diverse LED chips. The proposed regional anomaly detection is capable of achieving accurate detection performance without the necessity of negative training samples. The experimental results on the constructed chip image dataset demonstrate that the proposed method can accurately detect typical chip anomalies. The precision and recall of SRAD-LSF achieve 96.36 % and 92.80 %, respectively.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"195 ","pages":"Article 109281"},"PeriodicalIF":3.7,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144867345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A cross-correlation driven adaptive dual-domain enhancement method for OCMSI measurement","authors":"Yu Hao, Zhen Zhang, Yulei Cao, Yuqi Ren, Jianwei Zhang, Zefeng Sun, Jiehu Kang, Wenbo Zheng, Wu Bin","doi":"10.1016/j.optlaseng.2025.109283","DOIUrl":"10.1016/j.optlaseng.2025.109283","url":null,"abstract":"<div><div>Optical carrier microwave scanning interferometry (OCMSI) is a new precision laser ranging method. However, conventional demodulation techniques are incapable of efficiently extracting useful signals from low Signal-to-Noise Ratio (SNR) signals, resulting in serious decrease of ranging accuracy. In this paper, a cyclic inter-correlation method based on combining time and frequency domains is proposed, which aims to facilitate the demodulation of OCMSI distance signals in scenarios characterized by low signal-to-noise ratios, with a concomitant emphasis on both precision and stability. Firstly, the amplitude-frequency spectrum of the interference signal is extracted through a microwave frequency scanning process integrated with synchronous demodulation. Subsequently, the inverse discrete Fourier transform (IDFT) is applied to the interference spectrum to generate the optimal reference signal, after which the mutual correlation function is computed to synthesize the enhanced reference signal. This cross-domain processing strategy effectively isolates and enhances interference signatures for subsequent noise suppression and error compensation. Preliminary simulations offer compelling evidence for the feasibility and efficacy of the proposed methodology. The experimental results show that the ranging accuracy of the algorithm is better than ± 50 μm, and it is improved by 50 % compared with the traditional direct processing method, which proves that the method has good effectiveness and robustness.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"195 ","pages":"Article 109283"},"PeriodicalIF":3.7,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144867344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiaohua Wu , Jun Wang , Wei Wang , Jie Lin , Peng Jin , Shutian Liu , Keya Zhou
{"title":"Independently tunable dual quasi-bound states with decoupled eigenfrequencies and Q-factors in an active metasurface","authors":"Qiaohua Wu , Jun Wang , Wei Wang , Jie Lin , Peng Jin , Shutian Liu , Keya Zhou","doi":"10.1016/j.optlaseng.2025.109260","DOIUrl":"10.1016/j.optlaseng.2025.109260","url":null,"abstract":"<div><div>Metasurfaces have become versatile platforms for manipulating the fundamental properties of resonance modes. In particular, some well-designed metasurfaces have enabled independent control of either eigenfrequencies or <em>Q</em>-factors across different resonance modes. However, simultaneously realizing both of these independent tuning parameters in an active metasurface remains a key challenge. Here, we demonstrate an active metasurface that can support independently tunable dual resonances with simultaneously decoupled eigenfrequencies and <em>Q</em>-factors, which consists of a glass plate with two periodic lithium niobate (LN) grating arrays placed on opposite sides. Such dual-resonances are driven by symmetry-protected bound states in the continuum (BICs), whose eigenfrequencies and <em>Q</em>-factors are unaffected by the elements located in zero-eigenfield region. By carefully designing, each grating array is placed in the zero-eigenfield region of one BIC mode. Then, both the eigenfrequencies and the <em>Q</em>-factor of the dual-resonances can be actively and independently tuned through the electro-optic effect of LN. Combining active tuning and guided mode resonance engineering, the <em>Q</em>-factor of the designed metasurface has been increased from 10<sup>2</sup> to 10<sup>6</sup>. This work provides a powerful framework for expanding the degrees of freedom in metasurface-based resonance control, with the potential to improve the adaptability and performance of applications in multimode lasing, optical filtering, dual-channel sensing, and nonlinear optics.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"195 ","pages":"Article 109260"},"PeriodicalIF":3.7,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144867348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhisong Qin , Xiaohan Li , Ke Lin , Longzhen Peng , Xiaohui Song , Jie Liu , Guoning Gan
{"title":"MCLEFusion: A multi-level correction low-light enhancement method for nighttime infrared and visible image fusion","authors":"Zhisong Qin , Xiaohan Li , Ke Lin , Longzhen Peng , Xiaohui Song , Jie Liu , Guoning Gan","doi":"10.1016/j.optlaseng.2025.109266","DOIUrl":"10.1016/j.optlaseng.2025.109266","url":null,"abstract":"<div><div>To address the challenge of feature extraction caused by degraded detail and texture in nighttime visible images for optical sensing applications, this paper presents MCLEFusion, a method that integrates unsupervised low-light enhancement and infrared-visible fusion. Specifically, a Retinex-based multi-level low-light enhancement block (LEB) utilizes stage-by-stage enhancement, calibration, and targeted loss functions to significantly improve brightness and detail in low-light visible images while mitigating color distortion and over-smoothing. For fusion, a multi-feature residual block (MRB) employs gradient residual flow and multi-level feature extraction to efficiently fuse infrared and enhanced visible images. Extensive evaluations on public datasets confirm MCLEFusion's superior performance over existing methods in color consistency, detail preservation, and overall fusion quality, thereby improving information extraction from optical sensor data.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"195 ","pages":"Article 109266"},"PeriodicalIF":3.7,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144867346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Min Yang , Qingyang Fu , Yan Liu , Xi Zou , Pin Wang , Yaping Zhang , Ting-Chung Poon
{"title":"Polygon-based computer-generated holography: Anti-aliased texture rendering via self-similar segmentation","authors":"Min Yang , Qingyang Fu , Yan Liu , Xi Zou , Pin Wang , Yaping Zhang , Ting-Chung Poon","doi":"10.1016/j.optlaseng.2025.109270","DOIUrl":"10.1016/j.optlaseng.2025.109270","url":null,"abstract":"<div><div>In textured polygon-computer-generated holography based on self-similar segmentation, texture can represent the details of an object without increasing the number of meshes. Texture mapping is usually realized by sampling texture values, which produces aliasing artifacts at abrupt changes in texture values when the subdivision degree <em>M</em> is small with insufficient number of samples. Although this can be mitigated by increasing <em>M</em>, it causes a dramatic increase in computational complexity. To balance the computational effort with the visual quality, in this paper, we propose an effective anti-aliasing texture rendering method that utilizes sub-triangle vertices to sample the texture and linearly interpolates the sampled texture values to assign inhomogeneous magnitudes to the primitive sub-triangles. Our method can mitigate aliasing artifacts to improve reconstruction quality with acceptable calculation time. Numerical and optical reconstructions demonstrate the effectiveness of the scheme.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"195 ","pages":"Article 109270"},"PeriodicalIF":3.7,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144867347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}