{"title":"Mid-infrared C2H6 telemetry sensor using 3.34 µm ICL based on optimized light receiving system and BKA-DELM model","authors":"Guolin Li, Guangzhao Cui, Yingjie Zhao, Ruixiang Sun, Haoran Yuan, Longju Li","doi":"10.1016/j.optlaseng.2024.108799","DOIUrl":"10.1016/j.optlaseng.2024.108799","url":null,"abstract":"<div><div>The detection of alkane gases represents a powerful tool for the guidance of oil and gas exploration activities. Based on tunable diode laser absorption spectroscopy (TDLAS), an ethane (C<sub>2</sub>H<sub>6</sub>) telemetry sensor was developed for real-time monitoring of surface C<sub>2</sub>H<sub>6</sub> concentration, so as to carry out oil and gas exploration. An interbond cascade laser (ICL) with a center wavelength of 3.34 µm was used. A 35 mm diameter long wave lens was designed through Zemax software to simulate focused diverging light, thus the telemetry light receiving system was optimized. In order to improve the target tracking capability of the telemetry system, beam tracking using visible light was used to visualize the telemetry system. The deep learning extreme learning machine (DELM) algorithm based on black wing kite optimization algorithm (BKA) was used to retrieve the C<sub>2</sub>H<sub>6</sub> concentration and realize the low concentration detection. Variable mode decomposition (VMD) combined with wavelet denoising algorithm was used to extract useful signals from the environment with noisy interference, so as to improve the telemetry distance and signal-to-noise ratio (SNR). The stability and response time of the sensor verify its reliability and sensitivity. According to Allan variance, the limit of detection (LoD) of the C<sub>2</sub>H<sub>6</sub> telemetry sensor was 10.8 ppb·m, and the integration time was 282 s.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"186 ","pages":"Article 108799"},"PeriodicalIF":3.5,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154026","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":"High-flexibility single-shot wavefront measurement with dual-lateral shearing interferometry","authors":"Yating Luo, Zai Luo, Dengfeng Hou, Dian Bian, Yaxiong He, Wensong Jiang, Yaru Li","doi":"10.1016/j.optlaseng.2024.108792","DOIUrl":"10.1016/j.optlaseng.2024.108792","url":null,"abstract":"<div><div>In this study, we propose a dual-lateral shearing interferometry system based on a cyclic configuration for real-time wavefront measurement. This system effectively separates a single raw interferogram containing multiple arbitrary shearing directions by utilizing an optimized algorithm that integrates two-dimensional variational modal decomposition (2D-VMD) and a four-step phase-shifting technique, along with the application of partial differential Zernike polynomial fitting. We quantitatively reconstruct the original plane and spherical wavefront. The results indicate that the static wavefront errors achievable with the proposed method are 0.0262 nm for peak-to-valley (PV) and 0.0083 nm for root mean square (RMS), reflecting exceptional precision. Furthermore, the imaging system enables high-precision, real-time measurement of distorted wavefronts while offering significant flexibility in interferogram modulation parameters such as density and inclination. This approach presents an effective solution for dynamic detection in the realm of self-referencing interferometry.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"186 ","pages":"Article 108792"},"PeriodicalIF":3.5,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154027","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}
Jun Lan , Cheng Xu , Hui Pang , Chao Yang , Lixin Zhao , Yan Tang , Song Hu , Yong Yang
{"title":"Enhanced multi-distance phase retrieval using alternating amplitude constraint","authors":"Jun Lan , Cheng Xu , Hui Pang , Chao Yang , Lixin Zhao , Yan Tang , Song Hu , Yong Yang","doi":"10.1016/j.optlaseng.2024.108802","DOIUrl":"10.1016/j.optlaseng.2024.108802","url":null,"abstract":"<div><div>Multi-distance computational imaging has garnered widespread attention due to its simple configuration and ability to achieve quantitative phase imaging. Phase retrieval is the core of this imaging technology, and the single-beam multiple-intensity reconstruction (SBMIR) is one of the most widely recognized multiple-distance phase retrieval algorithms. However, its strong constraint can easily cause the solution to be trapped in local minima during the reconstruction process. In this paper, a novel strategy for single-beam multiple-intensity reconstruction based on the alternating amplitude constraint (SBMIR-AC) is introduced. Instead of completely replacing the calculated amplitude with the measured amplitude, our approach preserves a portion of the calculated amplitude information during the iterations. This method weakens the stringency of the amplitude constraint and enables the retrieval algorithm to search in a larger space, thereby avoiding stagnation at local minima. The reconstruction performance is initially verified through simulation and then tested on three different samples. The results show that the suggested SBMIR-AC strategy can effectively improve the accuracy and stability of the retrieval algorithm while maintaining a satisfactory convergence speed. Its excellent capability and low computational complexity make it a promising technique for multi-distance phase retrieval.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"186 ","pages":"Article 108802"},"PeriodicalIF":3.5,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154029","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":"Two-stage framework for reconstructing spectral images from diffraction-blurred images","authors":"Hao Xu, Zhengyue Zhuge, Bingkun Chen, Nan Xu, Jiahui Xu, Gongfu Zhang, Jiajian He, Zhihai Xu, Qi Li, Yueting Chen","doi":"10.1016/j.optlaseng.2024.108789","DOIUrl":"10.1016/j.optlaseng.2024.108789","url":null,"abstract":"<div><div>In recent years, encoding and decoding-based computational spectral imaging systems have garnered substantial interest. Among these, phase-encoded spectral imaging systems employ diffractive optical elements to encode the phase of the incident light, resulting in wavelength-dependent point spread functions. These point spread functions encode implicit spectral information into the diffraction-blurred images, enabling convolutional neural network-based spectral reconstruction algorithms to extract spectral information effectively. However, the large size of the point spread function leads to considerable degradation. Traditional one-stage reconstruction frameworks attempt to address both deblurring and spectral unmixing simultaneously, and the quality of the reconstruction results requires further improvement. In this paper, we propose an innovative two-stage reconstruction framework. In the first stage, we focus on restoring high spatial resolution deblurred images. In the second stage, we use the deblurred images along with the original diffraction-blurred images to perform spectral reconstruction. Experimental results demonstrate that our proposed two-stage reconstruction framework, alongside the feature extraction and fusion block, significantly enhance the quality of the reconstruction results. Our framework can also be extended to other reconstruction tasks based on point spread function encoding. Moreover, we provide a relative spectral reflectance dataset covering a spectral range from <span><math><mn>400</mn><mspace></mspace><mi>n</mi><mi>m</mi></math></span> to <span><math><mn>900</mn><mspace></mspace><mi>n</mi><mi>m</mi></math></span>, with a spectral interval of <span><math><mn>10</mn><mspace></mspace><mi>n</mi><mi>m</mi></math></span>, which is conducive to improving the generalization of the spectral reconstruction networks in diverse scenes.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"186 ","pages":"Article 108789"},"PeriodicalIF":3.5,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154028","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}
He Cao , Yunfei Li , Gong Wang , Ziqi Tang , Derong Sun , Hongwei Yin , Yu Yu , Chengbin Shen , Yulei Wang , Zhiwei Lu
{"title":"Laser dicing of semiconductor wafers: Research status and current challenges","authors":"He Cao , Yunfei Li , Gong Wang , Ziqi Tang , Derong Sun , Hongwei Yin , Yu Yu , Chengbin Shen , Yulei Wang , Zhiwei Lu","doi":"10.1016/j.optlaseng.2024.108786","DOIUrl":"10.1016/j.optlaseng.2024.108786","url":null,"abstract":"<div><div>Laser dicing plays a vital role in the production of semiconductor devices. It significantly affects both the quality and production costs of wafers. The inherent hardness and brittleness of semiconductor materials make traditional mechanical dicing methods unsuitable for accurate wafer processing. Laser dicing, which offers minimal thermal impact, a non-contact approach, and broad applicability, emerges as the optimal technique for producing high-quality wafers. This paper delineates the mechanisms governing laser interactions with semiconductor materials. It also outlines the principles and methodologies associated with laser dicing. Additionally, it reviews the ultrafast pulsed laser dicing mechanisms for semiconductor wafers. Furthermore, it addresses the influence of laser parameters on semiconductor quality. Lastly, it consolidates various laser dicing techniques applicable to different semiconductor wafers.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"186 ","pages":"Article 108786"},"PeriodicalIF":3.5,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154822","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":"Noise-robust ptychography using unsupervised neural network","authors":"Zexu Liu , Yunyi Chen , Nan Lin","doi":"10.1016/j.optlaseng.2024.108791","DOIUrl":"10.1016/j.optlaseng.2024.108791","url":null,"abstract":"<div><div>Ptychography is a lensless phase retrieval technique that offers a large field of view and high resolution, making it highly suitable for bioimaging, semiconductor inspection, and material science. However, noise can lead to reconstruction failures. To address this, we propose an algorithm that leverages an untrained, physics-based neural network for ptychographic reconstruction, which effectively mitigates noise without priors or compromising computational efficiency. This algorithm is validated through both simulations and experiments. Our approach establishes a new optimization method for ptychography under severe noise environments such as low-dose imaging and wide-spectrum illumination conditions, and it can be adapted to other parameter optimization by adjusting the physical model and network structure.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"186 ","pages":"Article 108791"},"PeriodicalIF":3.5,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154030","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}
Zhaojun Yan , Huizhen Yang , Xinyang Chen , Lixin Zheng , Nenghong Zhu
{"title":"Cophasing calibration for a segmented telescope based on two-dimensional dispersed interferograms","authors":"Zhaojun Yan , Huizhen Yang , Xinyang Chen , Lixin Zheng , Nenghong Zhu","doi":"10.1016/j.optlaseng.2024.108785","DOIUrl":"10.1016/j.optlaseng.2024.108785","url":null,"abstract":"<div><div>Astronomical telescopes with increasingly larger apertures are essential for increasing the diffraction limit and improving the efficiency of light collection, thereby enabling the observation of fainter and more distant objects with higher angular resolution. Consequently, ground-based telescopes typically employ smaller segmented mirrors as primary mirrors, particularly those in the 10-meter class or larger. In the case of segmented mirror telescopes, precise alignment between the apertures is indispensable to achieve optimum system resolution. To tackle the challenge of cophasing segmented mirrors, a calibration method is proposed where the sum of the ratio of the second peak to the third peak in a two-dimensional dispersed interferogram serves as the cophasing error function. Simulation analysis and experimental verification were carried out to validate this approach. The simulation results show an accuracy of 1 nm for the cophasing calibration error between two mirrors. The experimental results indicate that this method allows the cophasing error between two plane mirrors with an accuracy of approximately 10 nm and a dynamic range of several hundred microns. Furthermore, the proposed calibration method was successfully employed to achieve a cophasing error of 20 nm for a telescope consisting of four parabolic sub-mirrors with a diameter of 150 mm. The discrepancies in precision between the simulation and the experimental outcomes are examined and elucidated, along with the scope of the measurement range of the method. This method can be employed for the initial calibration of displacement sensors in both ground-based and space-based segmented telescopes, as well as for the direct facilitation of accurate cophasing between submirrors.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"186 ","pages":"Article 108785"},"PeriodicalIF":3.5,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154016","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":"High-precision calibration and phase compensation method for structured light 3D imaging system","authors":"Haozhen Huang, Bin Niu, Shen Cheng, Fumin Zhang","doi":"10.1016/j.optlaseng.2024.108788","DOIUrl":"10.1016/j.optlaseng.2024.108788","url":null,"abstract":"<div><div>Parameter acquisition of the system in fringe projection profilometry (FPP) is a fundamental step directly related to three-dimensional (3D) measurement precision. The existing system calibration model is mainly based on the assumptions of the standard pinhole imaging model. However, if the distortion of the imaging lens group is not accurately described, the existing calibration model will lead to errors in the measurement results. This paper proposes a high-precision calibration and phase compensation method for a fringe projection 3D imaging system. Firstly, according to the target point and phase of the calibration plate captured by the camera, the world coordinates and phase information corresponding to the camera pixels are determined row-by-row and column-by-column through the polynomial fitting. Then, the relative pose of the calibration board is obtained through orthogonal phase acquisition from the camera. Subsequently, the relationship between phase and spatial coordinates is obtained pixel by pixel. Finally, the phase of the calibration board plane fitted during the calibration process is taken as the true value. The error caused by background light intensity, phase period, and texture information on the phase is analyzed to construct a phase compensation model for phase compensation. Experiments show that the calibration method in this paper has a higher measurement accuracy than existing methods in a non-standard imaging system, with an error of 17 µm in measuring the standard sphere diameter in a non-standard imaging system. The standard imaging system improves measurement accuracy by >30 % using the techniques in this paper. The phase compensation algorithm proposed in this paper realizes the measurement error correction caused by background light intensity, phase period, and texture jump.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"186 ","pages":"Article 108788"},"PeriodicalIF":3.5,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155015","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}
Wen Nie , Junchao Wan , Changwei Xu , Huitian Peng , Yuxin Dou , Huaitong Li
{"title":"High-precision measurement of respirable coal dust mass concentration: A dual-wavelength complementary laser optical sensor approach based on Mie scattering","authors":"Wen Nie , Junchao Wan , Changwei Xu , Huitian Peng , Yuxin Dou , Huaitong Li","doi":"10.1016/j.optlaseng.2024.108766","DOIUrl":"10.1016/j.optlaseng.2024.108766","url":null,"abstract":"<div><div>To address the shortcomings of detection inaccuracy at low concentrations and poor stability in current coal mine respirable dust detectors, a portable, high-precision, dual-wavelength dust sensor for mining applications was developed. Mie scattering theory of irregular particles was used to establish a light scattering model for polydisperse respirable coal dust. Numerical simulations were conducted using MATLAB and COMSOL. The effects of particle size, incident wavelength, and scattering angle on the distribution of the scattered light intensity were analyzed using standard spherical coal dust as an approximation. Experimental validation was performed using respirable coal dust samples. From these analyses and experiments it was determined that laser wavelengths of 450 and 637 nm and a scattering angle range of 12–28° were optimal. A custom-designed annular receiving structure, laser triggering timing circuit, and multi-stage amplification circuit were developed. The optical structure was adjusted and optimized, and a three-dimensional modeling of the sensor was developed, followed by component selection and assembly. Using the experimental setup, coefficient calibration and error detection were performed. The results showed that at dust concentrations of 5, 20, and 100 mg/m³, the sensor's short-term average measurement errors were 2.30 %, 3.60 %, and 4.25 %, respectively. Compared with other sensors, the developed sensor demonstrated superior accuracy and stability, and overcame the limitations of single-wavelength detectors of respirable dust. This work provides a novel approach and methodology for accurate dust detection in coal mines.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"186 ","pages":"Article 108766"},"PeriodicalIF":3.5,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155016","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":"High-precision 3D reconstruction of terahertz computed tomography under extremely sparse view","authors":"Jiazhen Dou , Jiongshen Fang , Wenjun Jiang , Jianglei Di , Yuwen Qin","doi":"10.1016/j.optlaseng.2024.108783","DOIUrl":"10.1016/j.optlaseng.2024.108783","url":null,"abstract":"<div><div>Terahertz Computed Tomography (THz-CT) has garnered considerable interest in applications such as industrial non-destructive testing and biomedical imaging due to its non-ionizing radiation and excellent penetration capabilities. However, practical deployment is limited by low sampling efficiency and image degradation associated with the long wavelengths of THz radiation, which result in slower imaging speeds. Herein, leveraging a deep learning algorithm, we propose a multi-domain and multi-scale feature fusion framework specifically designed to improve high-resolution THz imaging under extremely sparse sampling angles. This innovative architecture enhances image reconstruction by effectively integrating information from the sinusoidal, image, and Fourier domains, while employing strategies for data consistency and high-frequency reconstruction. The effectiveness of the proposed method is demonstrated via 3D image reconstruction experiments conducted under extremely sparse view sampling. Comparisons with existing THz-CT reconstruction algorithms, including learning-based techniques, reveal significant advantages in reconstruction quality. This work supports the further advancement and application of THz-CT imaging across various fields.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"186 ","pages":"Article 108783"},"PeriodicalIF":3.5,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153577","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}