Optics and Lasers in Engineering最新文献

High efficiency Raman microscopic imaging based on a dispersion-interference hybrid spectrometer 基于色散干涉混合光谱仪的高效拉曼显微成像

IF 3.7 2区工程技术

Optics and Lasers in Engineering Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.optlaseng.2026.109624

Huitong Huang , Xin Meng , Xiaohong Jiang , Ao Wang , Yixuan Xu , Zhibiao Liu , Yixuan Liu , Jianxin Li

{"title":"High efficiency Raman microscopic imaging based on a dispersion-interference hybrid spectrometer","authors":"Huitong Huang , Xin Meng , Xiaohong Jiang , Ao Wang , Yixuan Xu , Zhibiao Liu , Yixuan Liu , Jianxin Li","doi":"10.1016/j.optlaseng.2026.109624","DOIUrl":"10.1016/j.optlaseng.2026.109624","url":null,"abstract":"<div><div>Optical throughput and spectral resolution are two critical parameters for achieving rapid and accurate Raman microscopic imaging. However, conventional methods often face a trade-off between these two performances. In response to this limitation, this work proposes a high-efficiency Raman microscopic imaging system based on a dispersion-interference hybrid spectroscopic architecture. By integrating Amici prisms into a Sagnac interferometer, the system enables spectral shearing control without the need for an entrance slit, achieving both high throughput and good spectral resolution. Using a 785 nm laser, the system was evaluated on Nd: Y₃Al₅O₁₂ ceramics, fluorite crystals, and SERS-enhanced 4-aminothiophenol samples on a gold substrate, achieving a point spectral resolution of 10 cm⁻¹ and a full width at half maximum (FWHM) resolution of 25 cm⁻¹. Combined with a 1024 × 1024 pixel EMCCD camera, the system supports area imaging and employs a one-dimensional push-broom scanning strategy to efficiently acquire the entire field of view, significantly improving imaging speed compared to conventional point-by-point scanning methods. Experimental results demonstrate that the system offers high throughput, high resolution, and rapid Raman hyperspectral imaging capabilities, with potential applications in material analysis, biological detection, and chemical imaging.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"201 ","pages":"Article 109624"},"PeriodicalIF":3.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039559","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}

引用次数: 0

64 dB gain Yb-doped fiber amplifier for small-signal lasers based on tandem pump cavity 基于串列泵浦腔的64 dB增益掺镱小信号激光器放大器

IF 3.7 2区工程技术

Optics and Lasers in Engineering Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.optlaseng.2026.109632

Wei Gao , Pei Ju , Yanpeng Zhang , Haoyu Wang , Zhaohui Li , Zhe Li , Pei Huang , Aifeng He , Qi Gao , Wenhui Fan

引用次数: 0

Wavefront-driven optimization for high-quality hologram generation 高质量全息图生成的波前驱动优化

IF 3.7 2区工程技术

Optics and Lasers in Engineering Pub Date : 2026-06-01 Epub Date: 2026-01-23 DOI: 10.1016/j.optlaseng.2026.109634

Zhenyang Zhang , Xianrui Feng , Hao Jiang , Jian Wang , Zhengqiong Dong , Lei Nie , Jinlong Zhu , Shiyuan Liu

引用次数: 0

Generalized ripple suppression algorithm for phase-shift interferometric wavefronts 相移干涉波前的广义纹波抑制算法

IF 3.7 2区工程技术

Optics and Lasers in Engineering Pub Date : 2026-06-01 Epub Date: 2026-02-04 DOI: 10.1016/j.optlaseng.2026.109674

Yuqing Liu, Donghui Zheng, Lei Chen, Zhe Zhang

{"title":"Generalized ripple suppression algorithm for phase-shift interferometric wavefronts","authors":"Yuqing Liu, Donghui Zheng, Lei Chen, Zhe Zhang","doi":"10.1016/j.optlaseng.2026.109674","DOIUrl":"10.1016/j.optlaseng.2026.109674","url":null,"abstract":"<div><div>In phase-shifting interferometry using narrow-bandwidth light sources, ripple noise introduced by multiple error sources is one of the key factors limiting its wavefront calculation accuracy, this study proposed a generalized ripple suppression algorithm (GRSA) in its standard measurement scenarios. The distribution law of ripple errors caused by different error sources were investigated, and a mathematical model was established to decompose the wavefront shape components. The ripple components in wavefronts can be calculated and directly subtracted via two least-squares fittings on multiple wavefronts containing different ripple errors. Feasibility of the GRSA was verified through simulations and experiments, and the root mean square error of the simulated wavefront reaches 2.1 × 10<sup>−5</sup>λ. Factors affecting the accuracy of phase calculation and several special cases were analyzed, and optimization schemes for algorithm parameters were provided based on the analysis results. The experimental and simulation results show that the GRSA can effectively improve measurement accuracy and repeatability by suppressing the ripple error in the wavefront.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"201 ","pages":"Article 109674"},"PeriodicalIF":3.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189776","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}

引用次数: 0

Wavefront reconstruction for fractional lateral shear measurements using weighted integer shear averages 使用加权整数剪切平均值的分数阶横向剪切测量的波前重建

IF 3.7 2区工程技术

Optics and Lasers in Engineering Pub Date : 2026-06-01 Epub Date: 2026-01-30 DOI: 10.1016/j.optlaseng.2026.109664

Samia Heshmat , Satoshi Tomioka , Naoki Miyamoto , Yuji Yamauchi , Yutaka Matsumoto , Naoki Higashi

{"title":"Wavefront reconstruction for fractional lateral shear measurements using weighted integer shear averages","authors":"Samia Heshmat , Satoshi Tomioka , Naoki Miyamoto , Yuji Yamauchi , Yutaka Matsumoto , Naoki Higashi","doi":"10.1016/j.optlaseng.2026.109664","DOIUrl":"10.1016/j.optlaseng.2026.109664","url":null,"abstract":"<div><div>Wavefront reconstruction in lateral shearing interferometry typically assumes that the shear amount is an integer multiple of the sampling interval. When the shear is fractional, approximating it with the nearest integer value leads to noticeable reconstruction errors. To address this, we propose a weighted integer shear averaging method. The approach combines reconstructions from nearby integer shears with carefully chosen weights designed to cancel the dominant error terms. Analytical error analysis shows that two-shear averaging removes first-order errors, while three-shear averaging removes second-order errors. Numerical simulations with a test wavefront confirm that the method achieves significantly lower RMS error than conventional single-shear reconstruction. The technique is simple, computationally efficient, and can be readily extended to two-dimensional interferometry. This makes weighted integer shear averaging a practical and accurate tool for wavefront reconstruction when fractional shear is unavoidable.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"201 ","pages":"Article 109664"},"PeriodicalIF":3.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079585","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}

引用次数: 0

Optimization-based structured light profilometry for surface reconstruction of moving objects 基于优化的运动物体表面重建结构光轮廓术

IF 3.7 2区工程技术

Optics and Lasers in Engineering Pub Date : 2026-06-01 Epub Date: 2026-01-28 DOI: 10.1016/j.optlaseng.2026.109627

Stefan Hager , Georg Schitter , Ernst Csencsics

{"title":"Optimization-based structured light profilometry for surface reconstruction of moving objects","authors":"Stefan Hager , Georg Schitter , Ernst Csencsics","doi":"10.1016/j.optlaseng.2026.109627","DOIUrl":"10.1016/j.optlaseng.2026.109627","url":null,"abstract":"<div><div>This paper presents a novel approach for accurate surface reconstruction of uniformly moving rigid samples from multi-shot structured light profilometry (SLP). Conventional triangulation-based multi-shot SLP cannot handle moving objects as motion during the acquisition phase causes errors in the assignment of pixel correspondence between cameras and projector. The proposed method utilizes an optimization-based, iterative strategy that considers the movement of the sample between consecutive captures to reconstruct the surface geometry. The optimization process is designed to minimize an objective function which evaluates the pixel value similarities between reprojected surface points in both the camera and projector images. The surface is reconstructed by iteratively refining the minimum search in the objective function using image filtering methods and gradient-based solvers. The method enables robust surface reconstruction of moving samples with a high measurement accuracy of 17 µm for various directions and extents of motion, which can compete with static measurement results from conventional, high-accuracy SLP methods while outperforming them by a factor of more than 20 for large sample displacements, making multi-shot SLP accessible for industrial in-line measurement applications.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"201 ","pages":"Article 109627"},"PeriodicalIF":3.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079579","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}

引用次数: 0

Single-shot high-dynamic-range 3-D measurement via color coding and spatial-frequency domain learning 基于颜色编码和空间频域学习的单镜头高动态范围三维测量

IF 3.7 2区工程技术

Optics and Lasers in Engineering Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.optlaseng.2026.109633

Jing Xin , Fuqian Li , Qican Zhang , Yajun Wang , Haojie Wei

{"title":"Single-shot high-dynamic-range 3-D measurement via color coding and spatial-frequency domain learning","authors":"Jing Xin , Fuqian Li , Qican Zhang , Yajun Wang , Haojie Wei","doi":"10.1016/j.optlaseng.2026.109633","DOIUrl":"10.1016/j.optlaseng.2026.109633","url":null,"abstract":"<div><div>In optical three-dimensional (3D) measurement techniques, fringe projection is one of the most reliable techniques for recovering the shape of objects. One challenge of the fringe projection is the measurement of high dynamic range (HDR) surfaces. Current non-learning-based and learning-based methods typically require acquiring multiple phase-shifting (PS) fringe patterns to achieve high-precision HDR 3-D reconstruction, which leads to the limited measurement efficiency. To overcome this limitation, a single-shot HDR method (PI-SSM) based on color coding and spatial-frequency domain learning is proposed. There are two key contributions in this work. First, the physics-informed single-shot measurement framework which integrates hardware modulation and deep-learning algorithms in a novel way for HDR 3-D reconstruction is proposed. Specially, a color coding strategy is utilized to realize single-shot measurement, which acquires three fringe patterns simultaneously. Furthermore, by the network training, the color crosstalk problem caused by color coding can be suppressed, and the damaged phase of the HDR surfaces can be repaired. Second, to enhance fringe quality under severe HDR degradation, a spatial-frequency domain fringe enhancement network (SFENet) is specifically designed. SFENet restores degraded fringe by jointly modeling local noise-induced distortions in the spatial domain and enforcing global periodic consistency in the frequency domain. And a joint spatial-frequency loss further improves fringe enhancement quality and phase accuracy. Experiments demonstrate that the proposed PI-SSM method enables more accurate and efficient single-shot phase retrieval, exhibiting its excellent generalization to various unseen HDR surfaces.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"201 ","pages":"Article 109633"},"PeriodicalIF":3.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039557","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}

引用次数: 0

Far field single-pixel image-free tracking for moving object 运动物体的远场单像素无图像跟踪

IF 3.7 2区工程技术

Optics and Lasers in Engineering Pub Date : 2026-06-01 Epub Date: 2026-01-24 DOI: 10.1016/j.optlaseng.2026.109651

Yunsong Gu , Huahua Wang , Han Zhuang , Bingjie Li , Hongyue Xiao , Changqi Zhang , Hongwei Jiang , Haochong Huang , Zhiyuan Zheng , Ze Zhang , Lu Gao

{"title":"Far field single-pixel image-free tracking for moving object","authors":"Yunsong Gu , Huahua Wang , Han Zhuang , Bingjie Li , Hongyue Xiao , Changqi Zhang , Hongwei Jiang , Haochong Huang , Zhiyuan Zheng , Ze Zhang , Lu Gao","doi":"10.1016/j.optlaseng.2026.109651","DOIUrl":"10.1016/j.optlaseng.2026.109651","url":null,"abstract":"<div><div>Real-time tracking of key parts of moving objects remains a major challenge in practical single-pixel imaging systems. In this work, we propose a far-field single-pixel image-free tracking framework for moving objects based on an image-free tracking network (IFTN). By jointly optimizing structured illumination and network training, the proposed method directly maps one-dimensional single-pixel measurements to target coordinates without image reconstruction, effectively mitigating motion-blur-induced accuracy degradation. Experimental results demonstrate that the proposed approach achieves a tracking accuracy of 85.8% with a mean absolute percentage error of 8.4% at a sampling rate of 6.25%, and a tracking speed of 95.2 Hz. Furthermore, the system enables far-field tracking at distances up to 80 m. Compared with traditional single-pixel imaging-based tracking methods that rely on image reconstruction, the proposed method improves tracking accuracy by more than six times. This work provides an efficient and flexible solution for image-free tracking in remote sensing and related applications.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"201 ","pages":"Article 109651"},"PeriodicalIF":3.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039618","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}

引用次数: 0

Ultrafast VISAR velocity field reconstruction via deep unfolding networks and hardware-optimized deployment 基于深度展开网络和硬件优化部署的超快VISAR速度场重建

IF 3.7 2区工程技术

Optics and Lasers in Engineering Pub Date : 2026-06-01 Epub Date: 2026-01-22 DOI: 10.1016/j.optlaseng.2026.109623

Miao Li, Chaorui Chen, Xi Wang, Xinru Zhang, Youwei Dai, Longwu Luo

{"title":"Ultrafast VISAR velocity field reconstruction via deep unfolding networks and hardware-optimized deployment","authors":"Miao Li, Chaorui Chen, Xi Wang, Xinru Zhang, Youwei Dai, Longwu Luo","doi":"10.1016/j.optlaseng.2026.109623","DOIUrl":"10.1016/j.optlaseng.2026.109623","url":null,"abstract":"<div><div>We present a shock-wave velocity field ultrafast imaging reconstruction algorithm and a hardware deployment scheme for interferometric imaging systems with arbitrary reflective surfaces. The algorithm unfolds the alternating direction method of multipliers (ADMM) iterations into trainable network layers. It combines the interpretability of traditional optimization methods with deep learning to improve reconstruction accuracy. For hardware deployment, a co-optimization strategy is designed. This strategy uses operator mapping and 8-bit integer quantization for CPUs and deep learning processing units (DPUs). Simulation and experimental results are provided. Under high compression ratio encoding, the method achieves a peak signal-to-noise ratio (PSNR) of 29.53 dB. This is 11.46 dB higher than ADMM-TV and 6.91 dB higher than E-3DTV. The structural similarity index (SSIM) reaches 0.88. The learned perceptual image patch similarity (LPIPS) is 0.17. Experiments show that the maximum absolute error of the reconstructed velocity field is 1.58 km/s, with a relative error of 9.87%. Dynamic and static power consumption are reduced by 89.27% and 94.83%, respectively, without reducing reconstruction accuracy. These results show that the method improves reconstruction accuracy and reduces power consumption. It also addresses limitations of traditional algorithms in both accuracy and deployment efficiency. The method provides a reliable approach for dynamic reconstruction in ultrafast imaging of shock-wave velocity fields.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"201 ","pages":"Article 109623"},"PeriodicalIF":3.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039621","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}

引用次数: 0

Neural network–assisted optical temperature estimation using a composite–type optical fiberscope for transbronchial photothermal therapy 经支气管光热治疗中复合光纤镜的神经网络辅助光学温度估计

IF 3.7 2区工程技术

Optics and Lasers in Engineering Pub Date : 2026-06-01 Epub Date: 2026-01-23 DOI: 10.1016/j.optlaseng.2026.109642

Takeshi Seki , Kiyoshi Oka , Akihiro Naganawa

{"title":"Neural network–assisted optical temperature estimation using a composite–type optical fiberscope for transbronchial photothermal therapy","authors":"Takeshi Seki , Kiyoshi Oka , Akihiro Naganawa","doi":"10.1016/j.optlaseng.2026.109642","DOIUrl":"10.1016/j.optlaseng.2026.109642","url":null,"abstract":"<div><div>Transbronchial photothermal therapy (PTT) is a promising modality for treating peripheral lung cancer, especially in patients who are not eligible for surgery. However, real-time temperature monitoring in deep and narrow bronchial regions remains a significant challenge. Conventional thermometry techniques, such as MRI, CT, ultrasound, and pyrometry, are limited by poor spatial access, low accuracy, or incompatibility with bronchoscopy. To address this, we propose a neural network–assisted method to estimate tissue temperature using reflected light spectra and laser power, enabling non-contact thermometry without additional sensors. This approach was implemented using a composite-type optical fiberscope capable of simultaneous laser irradiation and optical sensing. We validated the system using tissue-mimicking phantoms containing porphysome at concentrations of 29, 58, and 100 µM under 250 or 500 mW laser irradiation, targeting temperatures between room temp. and 60 °C. Root Mean Square Error (RMSE) between estimated and actual temperatures was 1.50 °C to 2.89 °C for 250 mW and 1.60 °C to 3.44 °C for 500 mW. This is the first report of real-time temperature estimation using deep-learning and a composite fiberscope in bronchoscopic PTT. The proposed method enables compact, cost-effective, and sensorless temperature monitoring, offering a practical solution for safe and effective clinical PTT in anatomically constrained regions.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"201 ","pages":"Article 109642"},"PeriodicalIF":3.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039738","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}

引用次数: 0