Article
Chemistry, Multidisciplinary
Dominik Juestel, Hedwig Irl, Florian Hinterwimmer, Christoph Dehner, Walter Simson, Nassir Navab, Gerhard Schneider, Vasilis Ntziachristos
Summary: Various morphological and functional parameters of peripheral nerves and their vascular supply can indicate pathological changes. A pilot study on healthy volunteers combined multispectral optoacoustic tomography with ultrasound imaging (OPUS) to investigate the vascular environment and morphology of peripheral nerves. This study showcases the unique ability of optoacoustic imaging to visualize the vasa nervorum and analyze tissue composition based on optoacoustic contrast. It discusses how this imaging technique can provide new insights into the pathophysiology of nerve damage and neuropathies, particularly related to diabetes.
Article
Chemistry, Analytical
Chiho Yoon, Changyeop Lee, Keecheol Shin, Chulhong Kim
Summary: This paper presents a new motion compensation method for removing motion artifacts in photoacoustic imaging, and its effectiveness is verified through experiments. This method has significant implications for clinical applications of photoacoustic imaging.
Review
Biochemistry & Molecular Biology
Adrian P. Regensburger, Emma Brown, Gerhard Kronke, Maximilian J. Waldner, Ferdinand Knieling
Summary: Optoacoustic or photoacoustic imaging technology allows non-invasive visualization of laser-illuminated tissue with high resolution and penetration depth, making it a versatile tool for biomedical research. When it comes to imaging inflammation, this technology offers advantages over current clinical methods in diagnosing and monitoring physiological and pathophysiological processes.
Review
Engineering, Biomedical
Eduardo A. Gonzalez, Muyinatu A. Lediju Bell
Summary: Photoacoustic techniques offer advantages over gold standards for bone evaluation by identifying molecular changes in bone tissue and visualizing tissue microstructure without ionizing radiation. This review covers the contributions of photoacoustic imaging in various bone-related clinical applications and characterizing the biomechanical properties of bone. The future outlook is based on the current state of technological developments and recent achievements.
ANNUAL REVIEW OF BIOMEDICAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Idan Steinberg, Jeesu Kim, Martin K. Schneider, Dongwoon Hyun, Aimen Zlitni, Sarah M. Hopper, Tal Klap, Geoffrey A. Sonn, Jeremy J. Dahl, Chulhong Kim, Sanjiv Sam Gambhir
Summary: The SPANNER algorithm is a new robust algorithm for photoacoustic imaging that can reconstruct images in real-time and address artifacts associated with limited viewing angles and imaging depth. Comparisons with other reconstruction algorithms and experiments on tissue samples and prostate cancer patients demonstrate SPANNER's ability to improve contrast to background ratio and axial resolution, as well as accurately quantify PA signals from contrast agents.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Biochemical Research Methods
Mengyang Lu, Xin Liu, Chengcheng Liu, Boyi LI, Wenting Gu, Jiehui Jiang, Dean Ta
Summary: PA-GAN, a new image domain transformation method based on CycleGAN, is introduced to remove artifacts in PAT images caused by limited-view measurement data in an unsupervised manner. Experimental results demonstrate that PA-GAN performs well in removing artifacts in photoacoustic tomographic images without the need for ground-truth data.
BIOMEDICAL OPTICS EXPRESS
(2021)
Review
Computer Science, Information Systems
Garima Jaiswal, Ritu Rani, Harshita Mangotra, Arun Sharma
Summary: The combination of hyperspectral imaging (HSI) and autoencoders (AE) has the potential to revolutionize various industries, including healthcare and environmental monitoring. AE can uncover hidden patterns and insights in large-scale datasets, while HSI can benefit from the scalability and flexibility offered by AE, leading to more efficient data processing.
COMPUTER SCIENCE REVIEW
(2023)
Article
Multidisciplinary Sciences
Sarah Wilkinson, James Cummings, Sakif Zafar, Martin Kozar, Joanne Manning, Graham Dinsdale, Michael Berks, Christopher Taylor, Mark Dickinson, Ariane L. Herrick, Andrea K. Murray
Summary: This study used photoacoustic imaging to examine the digital arteries in patients with SSc and healthy controls. The results showed that vascular volume was similar between the two groups, but digital artery oxygenation was decreased in patients with SSc, indicating a functional deficit.
SCIENTIFIC REPORTS
(2022)
Article
Acoustics
Yixuan Wu, Jeeun Kang, Wojciech G. Lesniak, Ala Lisok, Haichong K. Zhang, Russell H. Taylor, Martin G. Pomper, Emad M. Boctor
Summary: This study presents a system-level optimization of spectroscopic photoacoustic imaging for prostate cancer detection, which improves the image signal-to-noise ratio and spectral unmixing accuracy through strategies such as spectral unmixing model, wavelength optimization, and frame averaging. Simulation and in vivo experiments confirm the effectiveness and generalizability of this method.
Article
Engineering, Electrical & Electronic
Yuantian Shao, Qichao Liu, Liang Xiao
Summary: This article introduces a model-driven deep learning approach called IVIU-Net, which enhances the adaptability and stability of the model by introducing learnable parameters and a specific spatial convolution module. A comprehensive loss function is proposed to train the IVIU-Net in an unsupervised way. Experimental results show that the proposed network outperforms existing data-driven deep learning algorithms in terms of convergence, speed, and accuracy.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Chemistry, Analytical
Aneline Dolet, Rita Ammanouil, Virginie Petrilli, Cedric Richard, Piero Tortoli, Didier Vray, Francois Varray
Summary: This study introduces a set of methods for estimating chromophore concentration using multispectral photoacoustic imaging and validates their effectiveness. By applying unmixing techniques from the hyperspectral remote sensing field, the study evaluates chromophore concentrations and demonstrates the feasibility of incorporating hyperspectral remote sensing algorithms into multispectral photoacoustic imaging.
Article
Environmental Sciences
Veronique Achard, Pierre-Yves Foucher, Dominique Dubucq
Summary: This study investigates the detection of oil spills using hyperspectral images and specific processing methods, successfully applying spectral index calculations, anomaly detection, and spectral unmixing to detect and map oil pollution in controlled experiments and real cases.
Article
Environmental Sciences
Genping Zhao, Fei Li, Xiuwei Zhang, Kati Laakso, Jonathan Cheung-Wai Chan
Summary: The proposed method combines spectral unmixing and structured sparse representation to enhance anomaly target detection accuracy. By utilizing background features at a sub-pixel level, the method significantly improves the performance of anomaly target detection.
Article
Chemistry, Applied
Amanda Teixeira Badaro, Jose Manuel Amigo, Jose Blasco, Nuria Aleixos, Amanda Rios Ferreira, Maria Teresa Pedrosa Silva Clerici, Douglas Fernandes Barbin
Summary: The study demonstrated the applicability of NIR-HSI and MCR-ALS in identifying fiber distribution in enriched pasta, with results showing high accuracy and efficiency in the assessment, resolution, and quantification of fiber content.
Article
Acoustics
E. Rascevska, L. C. M. Yip, P. Omidi, M. Brackstone, J. J. L. Carson
Summary: This study designed a low-frequency, hand-held photoacoustic imaging probe to evaluate the feasibility of assessing surgical margins in breast cancer. The results showed that the probe could detect optical absorption gaps as small as 1 mm and obtain strong signals from fatty tissue in imaging. This hand-held probe has the potential for detecting residual breast cancer tissue during breast conserving surgery.
Article
Radiology, Nuclear Medicine & Medical Imaging
Wido Heeman, Jasper Vonk, Vasilis Ntziachristos, Brian W. Pogue, Rudi A. J. O. Dierckx, Schelto Kruijff, Gooitzen M. van Dam
Summary: Fluorescence imaging is rapidly being applied in clinical care, with numerous clinical trials being conducted. A multidisciplinary approach is necessary to design a uniform fluorescence imaging protocol and ensure consistent data collection and reliable study outcomes.
JOURNAL OF NUCLEAR MEDICINE
(2022)
Article
Multidisciplinary Sciences
Paul Wrede, Oleksiy Degtyaruk, Sandeep Kumar Kalva, Xose Luis Dean-Ben, Ugur Bozuyuk, Amirreza Aghakhani, Birgul Akolpoglu, Metin Sitti, Daniel Razansky
Summary: This study proposed a method to detect and track circulating microrobots in real-time using optoacoustic imaging, by designing cell-sized nickel-based spherical Janus magnetic microrobots and enhancing their near-infrared optoacoustic signature through gold conjugation. The microrobots of different diameters were successfully detected in both laboratory and blood-containing environments, demonstrating the ability to track and manipulate them in real-time in murine cerebral vasculature.
Review
Cardiac & Cardiovascular Systems
Masaru Seguchi, Alp Aytekin, Tobias Lenz, Philipp Nicol, Grace R. Klosterman, Alicia Beele, Emina Sabic, Lea Utsch, Aseel Alyaqoob, Dimitris Gorpas, Vasilis Ntziachristos, Farouc A. Jaffer, Philipp Rauschendorfer, Michael Joner
Summary: The progression of atherosclerotic plaque in coronary arteries involves complex cellular and molecular interactions. Atherosclerosis is now recognized as being driven by inflammation, with changes in plaque composition and molecular processes leading to increased vulnerability. While current intravascular imaging techniques can identify morphological features during plaque progression, they are unable to characterize the molecular profile of advanced atherosclerotic plaque. Hybrid imaging modalities are expected to provide additional information on plaque biology, aiding in the detection of high-risk patients and lesions. This article reviews existing literature on intravascular molecular imaging approaches and proposes clinically oriented applications, as well as future developments aimed at identifying patients at risk for cardiovascular events.
EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING
(2022)
Article
Optics
Ruiqing Ni, Xose Luis Dean-Ben, Valerie Treyer, Anton Gietl, Christoph Hock, Jan Klohs, Roger M. Nitsch, Daniel Razansky
Summary: Imaging modalities, such as multi-spectral optoacoustic tomography (MSOT), have greatly advanced neurology and brain research. Non-invasive transcranial MSOT angiography has been demonstrated to visualize pial veins in the human brain, which can be beneficial for clinical brain imaging.
Article
Biochemical Research Methods
Wuwei Ren, Xose Luis Dean-ben, Zhiva Skachokova, Mark-Aurel Augath, Ruiqing Ni, Zhenyue Chen, Daniel Razansky
Summary: Progress in brain research relies on next-generation multi-modal imaging tools capable of capturing transient functional events and multiplexed contrasts noninvasively. This study presents a hybrid magnetic resonance and optoacoustic tomography system for murine brain imaging, enabling simultaneous dual-modality visualization of contrast agent dynamics. The system combines MR-compatible spherical matrix array transducer, fiber-based light illumination, and an optimized radiofrequency coil for whole-brain interrogation.
BIOMEDICAL OPTICS EXPRESS
(2023)
Article
Chemistry, Multidisciplinary
Quanyu Zhou, Daniil Nozdriukhin, Zhenyue Chen, Lukas Glandorf, Urs A. T. Hofmann, Michael Reiss, Lin Tang, Xose Luis Dean-Ben, Daniel Razansky
Summary: This study introduces a new method for volumetric deep-tissue microangiography that overcomes the limitations of light diffusion and optical diffraction in wide-field imaging configurations. The proposed method combines stereovision and super-resolution localization imaging to achieve high-resolution 3D imaging and accurate blood flow quantification, enabling detailed visualization and analysis of microvascular networks.
Article
Chemistry, Multidisciplinary
Zhenyue Chen, Irmak Gezginer, Mark-Aurel Augath, Yu-Hang Liu, Ruiqing Ni, Xose Luis Dean-Ben, Daniel Razansky
Summary: This article reports on the development of a fully hybridized system enabling concurrent functional magnetic resonance optoacoustic tomography (MROT) measurements of stimulus-evoked brain-wide sensory responses in mice. The results indicate that the BOLD signals are highly correlated, both spatially and temporally, with the total hemoglobin readings resolved with volumetric multi-spectral optoacoustic tomography. Furthermore, the differential oxygenated and deoxygenated hemoglobin optoacoustic readings exhibit superior sensitivity as compared to the BOLD signals when detecting stimulus-evoked hemodynamic responses.
Article
Acoustics
Nikolina-Alexia Fasoula, Angelos Karlas, Olga Prokopchuk, Nikoletta Katsouli, Michail Bariotakis, Evangelos Liapis, Anna Goetz, Michael Kallmayer, Josefine Reber, Alexander Novotny, Helmut Friess, Marc Ringelhan, Roland Schmid, Hans -Henning Eckstein, Susanna Hofmann, Vasilis Ntziachristos
Summary: This study investigates whether multispectral optoacoustic tomography (MSOT) can detect and monitor hepatic steatosis by analyzing the spectral region around 930 nm. In a pilot study involving patients and mice, higher absorptions at 930 nm were observed in liver steatosis cases compared to healthy individuals, while no significant difference was observed in subcutaneous adipose tissue. This study suggests that MSOT has the potential to be a non-invasive and portable technique for detecting and monitoring hepatic steatosis in clinical settings, warranting further studies.
Article
Radiology, Nuclear Medicine & Medical Imaging
Milou E. Noltes, Maximilian Bader, Madelon J. H. Metman, Jasper Vonk, Pieter J. Steinkamp, Jan Kukacka, Henriette E. Westerlaan, Rudi A. J. O. Dierckx, Bettien M. van Hemel, Adrienne H. Brouwers, Gooitzen M. van Dam, Dominik Juestel, Vasilis Ntziachristos, Schelto Kruijff
Summary: This study examines the potential of multispectral optoacoustic tomography (MSOT) for risk stratification of thyroid nodules. The findings show a correlation between vascular patterns and thyroid malignancy, and identify malignant features in MSOT images that are verified by histopathology. However, mean oxygen saturation does not provide significant differences between benign and malignant thyroid nodules. Recommendations are made to consider optoacoustic features and chromophore quantification together for malignancy risk assessment.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Biochemical Research Methods
Philipp Rauschendorfer, Georg Wissmeyer, Farouc A. Jaffer, Dimitris Gorpas, Vasilis Ntziachristos
Summary: This article introduces a new method for attenuation correction in intravascular near-infrared fluorescence (NIRF) imaging. It utilizes a fluorophore-coated guidewire as a reference to measure blood attenuation in real-time during the NIRF examination. The method has been shown to significantly improve signal quality and accuracy in animal experiments.
JOURNAL OF BIOMEDICAL OPTICS
(2023)
Article
Biochemical Research Methods
Sandeep Kumar Kalva, Xose Luis Dean-Ben, Michael Reiss, Daniel Razansky
Summary: The authors propose spiral volumetric optoacoustic tomography (SVOT) for visualizing contrast agent perfusion and biodistribution in mice. The method overcomes the limitations of current whole-body imaging by providing optical contrast and unprecedented spatial and temporal resolution. SVOT allows visualization of deep-seated structures in living tissues and real-time imaging of biodynamics at the whole-organ level.
Article
Multidisciplinary Sciences
Konxhe Kulaj, Alexandra Harger, Michaela Bauer, Oezuem S. Caliskan, Tilak Kumar Gupta, Dapi Menglin Chiang, Edward Milbank, Josefine Reber, Angelos Karlas, Petra Kotzbeck, David N. Sailer, Francesco Volta, Dominik Lutter, Sneha Prakash, Juliane Merl-Pham, Vasilis Ntziachristos, Hans Hauner, Michael W. Pfaffl, Matthias H. Tschoep, Timo D. Mueller, Stefanie M. Hauck, Benjamin D. Engel, Jantje M. Gerdes, Paul T. Pfluger, Natalie Krahmer, Kerstin Stemmer
Summary: Extracellular vesicles (EVs) derived from adipocytes transfer insulinotropic proteins to pancreatic β-cells, enhancing insulin secretion and glucose tolerance. This process is observed in insulin-resistant obese mice, suggesting that AdEVs play a role in informing β-cells about insulin resistance and increasing insulin demand.
NATURE COMMUNICATIONS
(2023)
Article
Nanoscience & Nanotechnology
Hailong He, Ludwig Englert, Vasilis Ntziachristos
Summary: Optical endoscopy is widely used for gastrointestinal diagnostics, but it only allows superficial inspection of the mucosa. To visualize deeper layers, optoacoustic endoscopy has been developed, which combines optical contrast with ultrasound to provide high-resolution imaging. This review focuses on the progress, current status, and potential applications of optoacoustic endoscopy.
Article
Acoustics
Angelos Karlas, Nikolina-Alexia Fasoula, Nikoletta Katsouli, Michael Kallmayer, Sabine Sieber, Sebastian Schmidt, Evangelos Liapis, Martin Halle, Hans-Henning Eckstein, Vasilis Ntziachristos
Summary: By using multispectral optoacoustic tomography (MSOT), this study imaged hemodynamics and oxygen kinetics within skeletal muscle during exercise. The results showed changes in blood volume and oxygen levels during different types of hand-grip exercises in healthy volunteers. Further analysis revealed insights into arteriovenous oxygen differences and muscle oxygen consumption. These findings highlight the potential implications of MSOT in muscle research and disease diagnostics.
Proceedings Paper
Acoustics
Sandeep Kumar Kalva, Xose Luis Dean-Ben, Michael Reiss, Daniel Razansky
Summary: sSVOT is a novel approach for whole-body three-dimensional imaging, which can be completed in a short period of time. It utilizes a spherical matrix array transducer and a multibeam illumination approach to achieve high imaging speed and large field of view. sSVOT enables the visualization of intricate vascular and organ anatomy, opening new avenues for studying large-scale biological dynamics.
PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2022
(2022)
Article
Optics
Yin Xiao, Lina Zhou, Wen Chen
Summary: This paper introduces a correspondence imaging approach for reconstructing high-quality objects through complex scattering media. By deriving a rectified theory and introducing temporal correction, the proposed method eliminates the effect of dynamic scaling factors. Experimental results demonstrate the advantages of the proposed method over conventional methods in complex scattering environments, and it can also be combined with other methods to further enhance the quality of reconstructed objects.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Zengxuan Jiang, Minghao Chao, Qingsong Liu, Bo Cheng, Guofeng Song, Jietao Liu
Summary: In this paper, a multi-focal metalens with high focusing efficiency controlled by circular polarization multiplexing is demonstrated. The metalens can generate four transversely distributed focal points under normal incidence of linearly polarized light, supporting both left-circularly polarized and right-circularly polarized conversion. Furthermore, an oblique incidence metalens is designed to achieve high total focusing efficiency for terahertz waves and provides potential new applications for polarization imaging and detection.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Yiran Wang, Yu Ji, Xuyang Zhou, Xiu Wen, Yutong Li, Zhengjun Liu, Shutian Liu
Summary: This work presents a new reconstruction framework for structured illumination microscopy (SIM), which only requires four raw images and avoids extensive iterative computation. By using checkerboard pattern illumination modulation instead of sinusoidal fringe illumination, the proposed method significantly reduces image acquisition time and achieves higher image reconstruction rate. Additionally, the reconstruction process is non-iterative and not limited by the field of view size.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Qian He, Li Pei, Jianshuai Wang, Jingjing Zheng, Tigang Ning, Jing Li
Summary: This paper proposes a 3D refractive index profile visualization method to demonstrate mode activation and evolution in fiber fusion splicing. The method is validated through experimental results and provides support for various fiber splicing operations and mode coupling modulation.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Qiwei Li, Qiyu Wang, Fang Lu, Yang Cao, Xu Zhao
Summary: LSHIP is a lenslet-array-based snapshot hyperspectral imaging polarimeter that combines spectral polarization modulation with integral field imaging spectrometry. It can simultaneously acquire three-dimensional spatial and spectral data-cubes for linear Stokes parameters in a single snapshot.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Huicong Li, Bing Lv, Meng Tian, Wenzhu Huang, Wentao Zhang
Summary: This study proposes a temperature compensation scheme for unbalanced interferometers using sensing fibers with different temperature coefficients, aiming to resolve the temperature disturbance and achieve high strain resolution. The experimental results confirm the effectiveness of the proposed scheme in high-resolution, long-term, low-frequency, and static strain sensing.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Hongxiang Chang, Rongtao Su, Yuqiu Zhang, Bowang Shu, Jinhu Long, Jinyong Leng, Pu Zhou
Summary: High-speed variable-focus optics provides new opportunities for fiber laser applications in various fields. This paper investigates a non-mechanical axial focus tuning method using coherent beam combining (CBC) technique and proposes a tilt modulation assisted method to extend the tuning range.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Yubo Ni, Shuai Fu, Chaoyang Su, Zhaozong Meng, Nan Gao, Zonghua Zhang
Summary: This paper proposes a surface adaptive fringe pattern generation method to accurately measure specular surfaces, eliminating the out-of-focus effect and improving measurement accuracy and reliability.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Zifan Wang, Tianfeng Zhou, Qian Yu, Zihao Zeng, Xibin Wang, Junjian Hu, Jiyong Zeng
Summary: Fast-axis collimation (FAC) lens arrays are crucial in laser systems, and their precision can be improved through the development of an optical collimation system and the use of thermal compensation to correct for non-uniform thermal expansion.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Jincheng Chen, Qiuyu Fang, Li Huang, Xin Ye, Luhong Jin, Heng Zhang, Yinqian Luo, Min Zhu, Luhao Zhang, Baohua Ji, Xiang Tian, Yingke Xu
Summary: This study developed a novel deep learning accelerated SRRF method that enables super-resolution reconstruction with only 5 low SNR images, and allows real-time visualization of microtubule dynamics and interactions with CCPs.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Pan Liu, Yongqiang Zhao, Ning Li, Kai Feng, Seong G. Kong, Chaolong Tang
Summary: This article presents a technique for inverse design of multilayer deep-etched gratings (MDEG) using a deep neural network with adaptive solution space. The proposed method trains a deep neural network to predict the probability distribution across the discretized space, enabling evaluation of an optimal solution. The results show improved efficiencies using only a reduced dataset and avoiding one-to-many mapping challenges.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Evelina Bibikova, Nazar Al-wassiti, Nataliya Kundikova
Summary: Light beams possess three types of angular momentum, namely spin angular momentum, extrinsic orbital angular momentum, and intrinsic orbital angular momentum. The interaction between these momenta leads to the spin-orbit interaction of light and topological effects. This study predicts a new topological effect resulting from the influence of extrinsic orbital angular momentum on spin angular momentum in converging asymmetrical light beams. It manifests as the transformation of linear polarized light into elliptically polarized light when an asymmetrical beam passes through the left or right half of the focal plane. The measured value of the topological circular amplitude anisotropy R was found to be R = +/- (0.60 +/- 0.08) x 10(-3). This new effect contributes to our understanding of light and has potential applications in developing sensors in optics.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Hamdy H. Wahba
Summary: This study combines multiple-beam Fizeau interference and single-shot digital holographic interferometry to study thick phase objects. By collecting optical phase at different focal planes, the angular spectrum method is used for the first time to retrieve optical phase maps through the focal depth. The proposed method proves to be effective in providing accurate numerical focusing and phase maps reconstruction.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Mohammed A. Isa, Richard Leach, David Branson, Samanta Piano
Summary: Due to the complexity of resolving object form and pose in images, new vision algorithms prioritize identification and perception over accurate coordinate measurement. However, the use of planar targets for coordinate measurement in vision systems has several drawbacks, including calibration difficulties and limited viewing angles. On the other hand, the use of sphere targets is infrequent in vision-based coordinate metrology due to the lack of efficient multi-view vision algorithms for accurate sphere measurements.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Ildar Rakhmatulin, Donald Risbridger, Richard M. Carter, M. J. Daniel Esser, Mustafa Suphi Erden
Summary: This paper reviews the application of machine learning in laser systems. While machine learning has been widely used in general control automation and adjustment tasks, its application in specific tasks requiring skilled workforces for high-precision equipment assembly and adjustment is still limited. The paper presents promising research directions for using machine learning in mirror positional adjustment, triangulation, and optimal laser parameter selection, based on the recommendations of PRISMA.
OPTICS AND LASERS IN ENGINEERING
(2024)