Yu Zhang , Zhiqian Jiang , Yong Wang , Zequan Peng , Jinlong Li
{"title":"LoGics: Anomaly detection of key components of high-speed rail via zero-shot learning","authors":"Yu Zhang , Zhiqian Jiang , Yong Wang , Zequan Peng , Jinlong Li","doi":"10.1016/j.optlaseng.2025.108971","DOIUrl":"10.1016/j.optlaseng.2025.108971","url":null,"abstract":"<div><div>In this paper, We present LoGics (Local Gaussian Distribution with Interaction Scores), a zero-shot anomaly detection framework for high-speed rail component inspection. The method combines three technical enhancements: local Gaussian distribution modeling with sample relationship analysis to enhance anomaly discrimination in training-free settings, feature space normalization addressing cross-domain discrepancies in industrial feature representations and distribution-guided threshold computation that automatically selects optimal strategies based on data characteristics. Experimental results on MVTec and VisA industrial benchmarks demonstrate the framework's effectiveness, achieving 97.9% image-level AUROC. This performance approaches supervised methods while requiring no annotated training samples, suggesting practical value for infrastructure inspection tasks where defect examples are unavailable.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"190 ","pages":"Article 108971"},"PeriodicalIF":3.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738401","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":"The nonlinear concentration-dependent study of hemoglobin using the Z-scan approach","authors":"MD Haider Ansari","doi":"10.1016/j.optlaseng.2025.108978","DOIUrl":"10.1016/j.optlaseng.2025.108978","url":null,"abstract":"<div><div>In the present work, we investigated the nonlinearity of hemoglobin using close and open-aperture Z-scan techniques at different concentrations and a constant activation laser (CW) power. Here the nonlinearity arises due to the thermal lensing phenomena. This concentration-dependent analysis revealed that the nonlinear refractive index and absorption coefficient increase with hemoglobin concentrations. The hemoglobin possesses a negative n<sub>2</sub> and a positive β due to the effects of self-defocusing and reverse saturation absorption. The reverse saturation absorption effect also contributes to excited-state absorption. Hemoglobin suspensions in Phosphate buffer saline (PBS) with concentrations ranging from 0.5 μmol/L to 150 μmol/L were made for the current study. Because the hemoglobin concentration in human serum is <0.6 μmol/L, we started with a lower value of 0.5 μmol/L . It is observed that haemoglobin shows nonlinearity, with a detection limit of ∼ 0.5 μmol/L. Due to the reduced haemoglobin concentration and considerable nonlinearity in the sample, the close aperture Z-Scan experiment did not show any asymmetry. We firmly believe that our straightforward and robust nonlinearity-based approach will soon open new doors for disease diagnostics based on this protein and hemoglobin detection with open and closed-aperture Z-scan setups.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"190 ","pages":"Article 108978"},"PeriodicalIF":3.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143737759","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":"Multi-address coding parallel scanning 3D microscopy","authors":"Guangjun Yin, Qi Wang, Qing Lu, Yuanqing Wang","doi":"10.1016/j.optlaseng.2025.108977","DOIUrl":"10.1016/j.optlaseng.2025.108977","url":null,"abstract":"<div><div>A parallel scanning microscopic imaging system using code division multiple access (CDMA) technology is proposed. By spatially and temporally encoding the illumination beam, and decoding the composite signal after high-speed sampling, the utilization efficiency of the detector is effectively improved, enabling parallel scanning of points at different distances with just one sensor. During 3D microscopy, there is no need to scan the axial direction. The working mechanism of the multi-address coding parallel scanning microscopic imaging system is introduced, and the implementation methods of coding and decoding are explained. According to rigorous mathematical derivations, a mathematical model of the imaging system is built, and the effectiveness of the system is verified through experiments. Moreover, we found that both the number of coding bits and power of the light source have an impact on the image quality of the system. With a 32 bits coding and a light power of 2 mW, our system achieved the highest image quality. And we tested the system's sensitivity to stray light and beam non-idealization. The experimental results show that when the proportion of stray light power is <40 % and the angle deflection of incident light is <1.5°, the imaging quality of the system is almost no longer affected by these two main factors.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"190 ","pages":"Article 108977"},"PeriodicalIF":3.5,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143737321","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}
Junpeng Huang, Wang Zhang, Weilong Jin, Hongchuan Hu
{"title":"Surface defect detection of planar optical components based on OPT-YOLO","authors":"Junpeng Huang, Wang Zhang, Weilong Jin, Hongchuan Hu","doi":"10.1016/j.optlaseng.2025.108974","DOIUrl":"10.1016/j.optlaseng.2025.108974","url":null,"abstract":"<div><div>Surface defects on optical components significantly impact imaging quality, durability, and reliability. Traditional optical and manual detection methods are inefficient and lack accuracy. Therefore, making machine vision is a crucial advancement for surface defect detection. In this article, an imaging system was constructed to generate a proprietary dataset of self-made optical component surface defects and an innovative OPT-YOLO algorithm was developed for detecting surface defects in planar optical components. The RepViTSEBlock and EMA modules were integrated with the C2f backbone network in OPT-YOLO, streamlining weights and enhancing feature extraction. To improve model expression, the MPCA attention mechanism was incorporated into the tail of backbone. Addressing background interference on defect features, ODConv was introduced into the Neck structure, replacing the Bottleneck configuration in C2f. The dysample module is also applied to refine the initial upsample structure to compensate for the problem of upsample easily losing low-level details and semantic information. For more efficient and accurate detection, SCDH detection head was adopted and CIoU was replaced with powerful-IoU, this lightweight structure accelerates convergence and improves anchor box accuracy. Finally, experimental results demonstrate that OPT-YOLO achieves mAP, Precision, and Recall scores of 0.970, 0.979, and 0.920, respectively, marking improvements of 3.2 %, 7.4 %, and 8.7 % over YOLOv8, while reducing FLOPs by 3.6 G, FPS has increased by 94. The heat map and feature map extractions confirm enhanced feature extraction capabilities, and ablation studies validate the performance gains from our enhanced modules. Overall, OPT-YOLO offers a more efficient and precise solution for planar optical component surface defect detection, highlighting its potential for industrial applications.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"190 ","pages":"Article 108974"},"PeriodicalIF":3.5,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725887","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":"Polarization-direction multiplexed metasurfaces for optical information hiding and decryption","authors":"Rui Xia, Ming Zhao, Zhenyu Yang","doi":"10.1016/j.optlaseng.2025.108976","DOIUrl":"10.1016/j.optlaseng.2025.108976","url":null,"abstract":"<div><div>The continuous development of information and communication technologies has made information hiding and decryption a rapidly growing of interest. Optical information offers multi-dimensional characteristics and high response speeds as a means of carrying data. However, conventional methods for hiding and decrypting optical information require redundant optical components or high design capacity, leading to inefficiency. The emergence of the diffractive deep neural network (D<sup>2</sup>NN) introduces a novel approach. Metasurfaces, two-dimensional planar structures with unique electromagnetic responses, can flexibly manipulate the optical field at subwavelength scales, providing an efficient platform for optical information hiding and decryption. Here, we propose polarization-direction multiplexed metasurfaces for optical information hiding and decryption, trained via D<sup>2</sup>NN to correlate input with optical information, and integrating phases by utilizing the polarization- and direction-sensitive properties of the metasurfaces. This method introduces a new design concept and approach for hiding and decrypting optical information.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"190 ","pages":"Article 108976"},"PeriodicalIF":3.5,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715437","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}
Qinghui Liu , Mengmeng Zhang , Ju Tang , Zhenbo Ren , Jianglei Di , Jianlin Zhao
{"title":"High-bandwidth nonlinear curvature wavefront sensing based on dual-defocused scheme and optimal parameter selection","authors":"Qinghui Liu , Mengmeng Zhang , Ju Tang , Zhenbo Ren , Jianglei Di , Jianlin Zhao","doi":"10.1016/j.optlaseng.2025.108975","DOIUrl":"10.1016/j.optlaseng.2025.108975","url":null,"abstract":"<div><div>In adaptive optics, nonlinear curvature wavefront sensing (nlCWFS) has emerged as an effective tool in the challenging field of wavefront sensing due to its excellent sensitivity, dynamic range, and speed. Standard nlCWFS typically utilizes four intensity patterns acquired at four different defocused distances along the optical axis as amplitude constraints in numerical iterative algorithms to reconstruct the equivalent turbulence wavefront at the pupil plane. When the initial guess is far from the true phase, the iteration becomes time-consuming and may even converge to local optima. Besides, it also involves a highly complex for pupil image acquisition, and limits the system to achieve high temporal bandwidth when acquiring real-time pupil images in weak guide star scenarios. To alleviate the aforementioned issues in nlCWFS, we propose a highly robust wavefront sensing scheme with only two defocused intensity patterns. By using the wavefront phase obtained from the previous frame, the efficiency of iteration in nlCWFS can be significantly improved for the subsequent wavefront calculation. This method is capable of maintaining excellent wavefront sensing accuracy and speed even in under-sampling conditions with only two defocused images, thereby demonstrating its ability to reduce the burden on image acquisition and its potential for weak guide star applications. Additionally, we innovatively introduce the concept of a score-map to address the inherent challenge of optimal parameter selection in nlCWFS, enabling it and other similar wavefront sensing methods to adaptively adjust parameters and to achieve scenario-specific optimal performance dynamically.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"190 ","pages":"Article 108975"},"PeriodicalIF":3.5,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715438","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":"Absolute phase retrieval based on phase-intensity hybrid encoding without any additional pattern","authors":"Jiali Luo, Yiping Cao, Jian Wang","doi":"10.1016/j.optlaseng.2025.108968","DOIUrl":"10.1016/j.optlaseng.2025.108968","url":null,"abstract":"<div><div>An absolute phase retrieval method based on phase-intensity hybrid encoding is proposed. It can robustly retrieve the absolute phase without adding any additional pattern. At first, four-step phase-shifting profilometry is applied to resolve the phase, and the first and the third sinusoidal fringe patterns just complementary to each other are used for both phase resolving and implantation of codewords. Then three-level four-bit codewords are designed to encode all the fringe orders and are separated into two halves. The first half codeword covers the first half sinusoidal pattern in the corresponding period of the first phase-shifting pattern, while the second half codeword covers the second half sinusoidal pattern on the corresponding period of the complementary pattern. So, this pair of complementary sinusoidal patterns are compound of the phase-intensity hybrid encoding patterns. When this pair of patterns and the remaining phase-shifting patterns are projected onto the measured object, the corresponding deformed patterns are captured with camera. And a fringe order segmentation algorithm is also proposed to achieve codeword correction and to extract both the complete codewords and the complete sinusoidal deformed patterns successfully. So, the wrapped phase caused by the height of the measured object can be resolved and the codewords can be decoded to be the correct fringe order from the lookup table so as to retrieve the absolute phase. The experimental results show the feasibility and validity of the proposed method. It reveals the codewords are more robust and the reconstruction accuracy is improved effectively without adding any additional pattern. The number of projected patterns can be reduced when there are more fringe orders available. It is also easier to locate the beginning bit of codeword and efficiently reduce codeword proximity effects.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"190 ","pages":"Article 108968"},"PeriodicalIF":3.5,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705669","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}
Geng Xu , Jiangyan Feng , Jie-yao Lyu , Shao Dian , Bingning Jin , Peijin Liu
{"title":"A coarse-to-fine attention-guided autofocusing for holography under high noisy scenes with explainable neural network","authors":"Geng Xu , Jiangyan Feng , Jie-yao Lyu , Shao Dian , Bingning Jin , Peijin Liu","doi":"10.1016/j.optlaseng.2025.108945","DOIUrl":"10.1016/j.optlaseng.2025.108945","url":null,"abstract":"<div><div>Autofocusing of digital holography typically relies on various criterion functions to evaluate the focus quality. However, these functions often struggle to accurately determine the focal plane in highly interferential environments. In this paper, we present a method for autofocusing of low-quality digital holographic images under extreme high noise environments. This approach incorporates a neural network as part of the solution but does not rely solely on its output, thereby overcoming uncertainties during the computation process. A key feature of our approach is the application of neural network attention mechanisms. These mechanisms excel at recognizing key areas within an image that significantly impact focus quality, thereby enabling precise focus metric calculations in complex visual settings. In our approach, the design of neural network relies solely on distinguishing focused from unfocused areas, a relatively simple task for neural networks. This design reduces our dependency on large datasets. Additionally, due to its modular construction, our method can be effortlessly integrated into diverse imaging contexts, demonstrating excellent plug-and-play capabilities. Experimental results demonstrate that our method not only enhances the precision of autofocus in digital holography but also shows promise in extending its applicability to other scientific and engineering fields. Our findings suggest potential for the broader application of deep learning in addressing analogous challenges in image analysis, opening new avenues for intelligent, data-efficient image processing.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"190 ","pages":"Article 108945"},"PeriodicalIF":3.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704194","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}
Xiaofan Sun , Zhengyi Zhan , Chenying He , Xin Luo , Yubing Han , Chuankang Li , Cuifang Kuang , Xu Liu
{"title":"NanoDriftGuard: Open-source isotropic ångström-scale active stabilization for super-resolution microscopy","authors":"Xiaofan Sun , Zhengyi Zhan , Chenying He , Xin Luo , Yubing Han , Chuankang Li , Cuifang Kuang , Xu Liu","doi":"10.1016/j.optlaseng.2025.108957","DOIUrl":"10.1016/j.optlaseng.2025.108957","url":null,"abstract":"<div><div>Single-molecule localization microscopy (SMLM) achieves nanoscale resolution but remains vulnerable to sample drift, which can compromise data quality. Widely used drift correction methods, based on either fluorescent fiducials or localization events, each have inherent limitations. Here, we present a complete sample stabilization solution combining an imaging system for detecting fiducial markers and <em>NanoDriftGuard</em>, a real-time drift correction software. This open-source software package is available on GitHub (<span><span>https://github.com/ZhengyiZ/NanoDriftGuard</span><svg><path></path></svg></span>). This approach can achieve isotropic three-dimensional (3D) stability with a precision of ∼4 Å. Our MATLAB-based implementation is optimized for rapid execution, allowing real-time drift correction at a rate exceeding 50 Hz. The system requires only a single laser for 3D drift correction and features a compact design that minimizes residual drift to ∼10 nm/h, ensuring exceptional long-term stability. Finally, we demonstrate the system's performance by imaging nuclear pore complexes using SMLM.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"190 ","pages":"Article 108957"},"PeriodicalIF":3.5,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143695996","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}
Hongyi Wang , Anjing Li , Qingchao Ye , Xinjun Zhu , Limei Song , Yue Ji
{"title":"A coarse-to-fine heterologous registration method for Infrared-Visible images based on MDC and MSMA-SCW descriptors","authors":"Hongyi Wang , Anjing Li , Qingchao Ye , Xinjun Zhu , Limei Song , Yue Ji","doi":"10.1016/j.optlaseng.2025.108955","DOIUrl":"10.1016/j.optlaseng.2025.108955","url":null,"abstract":"<div><div>Heterologous image registration is one of the key technologies for information fusion of infrared image and visible image. Considering the differences of image resolution, feature, and viewing angle between infrared image and visible image, a method consisting of MDC (Multi-scale Duty Cycle) descriptor and MSMA-SCW (Multi-Scale and Multi-Angle partitioned for Shape Context Weighted) descriptor based on edge feature description is proposed for heterologous image registration. The MDC descriptor is designed to describe the edge feature of image, which is used for coarse registration to find the maximum similarity region and primary matching scale. The MSMA-SCW descriptor was designed to describe the key point on the maximum similarity region, which is used for fine registration to match the key points at refined multi-scale between two images. Finally, the transformation relationship of image position between the two images could be acquired through affine transformation based on the results the matched key points. Experimental results have shown that the proposed method is of high accuracy in heterogeneous images registration of infrared images and visible images.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"190 ","pages":"Article 108955"},"PeriodicalIF":3.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685334","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}