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15 pages, 3040 KiB

Open AccessArticle

Investigation into the Co-Phase Detection Methodology for Segmented Plane Mirrors Utilizing Grazing Incidence Interferometry

by Rengcong Liu, Jiang Guo and Yibo Li

Sensors 2024, 24(3), 904; https://doi.org/10.3390/s24030904 - 30 Jan 2024

Viewed by 574

Abstract

Segmented plane mirrors constitute a crucial component in the self-aligned detection process for large-aperture space optical imaging systems. Surface shape errors inherent in segmented plane mirrors primarily manifest as tilt errors and piston errors between sub-mirrors. While the detection and adjustment techniques for [...] Read more.

Segmented plane mirrors constitute a crucial component in the self-aligned detection process for large-aperture space optical imaging systems. Surface shape errors inherent in segmented plane mirrors primarily manifest as tilt errors and piston errors between sub-mirrors. While the detection and adjustment techniques for tilt errors are well-established, addressing piston errors poses a more formidable challenge. This study introduces a novel approach to achieve long-range, high-precision, and efficient co-phase detection of segmented plane mirrors by proposing a segmented plane mirror shape detection method based on grazing incidence interferometry. This method serves to broaden the detection range of piston errors, mitigate the issue of the

2 π

ambiguity resulting from piston errors in co-phase detection, and extend the detection capabilities of the interferometer. By manipulating the incident angle of the interferometer, both rough and precise adjustments of the segmented plane mirrors can be effectively executed. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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16 pages, 3700 KiB

Open AccessArticle

Non-Invasive Estimation of Intracranial Pressure-Derived Cerebrovascular Reactivity Using Near-Infrared Spectroscopy Sensor Technology in Acute Neural Injury: A Time-Series Analysis

by Alwyn Gomez, Logan Froese, Tobias J. G. Bergmann, Amanjyot Singh Sainbhi, Nuray Vakitbilir, Abrar Islam, Kevin Y. Stein, Izabella Marquez, Younis Ibrahim and Frederick A. Zeiler

Sensors 2024, 24(2), 499; https://doi.org/10.3390/s24020499 - 13 Jan 2024

Cited by 2 | Viewed by 651

Abstract

The contemporary monitoring of cerebrovascular reactivity (CVR) relies on invasive intracranial pressure (ICP) monitoring which limits its application. Interest is shifting towards near-infrared spectroscopic regional cerebral oxygen saturation (rSO₂)-based indices of CVR which are less invasive and have improved spatial resolution. [...] Read more.

The contemporary monitoring of cerebrovascular reactivity (CVR) relies on invasive intracranial pressure (ICP) monitoring which limits its application. Interest is shifting towards near-infrared spectroscopic regional cerebral oxygen saturation (rSO₂)-based indices of CVR which are less invasive and have improved spatial resolution. This study aims to examine and model the relationship between ICP and rSO₂-based indices of CVR. Through a retrospective cohort study of prospectively collected physiologic data in moderate to severe traumatic brain injury (TBI) patients, linear mixed effects modeling techniques, augmented with time-series analysis, were utilized to evaluate the ability of rSO₂-based indices of CVR to model ICP-based indices. It was found that rSO₂-based indices of CVR had a statistically significant linear relationship with ICP-based indices, even when the hierarchical and autocorrelative nature of the data was accounted for. This strengthens the body of literature indicating the validity of rSO₂-based indices of CVR and potential greatly expands the scope of CVR monitoring. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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15 pages, 4263 KiB

Open AccessArticle

Thermo-Optic Response and Optical Bistablility of Integrated High-Index Doped Silica Ring Resonators

by Junkai Hu, Jiayang Wu, Di Jin, Sai Tak Chu, Brent E. Little, Duan Huang, Roberto Morandotti and David J. Moss

Sensors 2023, 23(24), 9767; https://doi.org/10.3390/s23249767 - 11 Dec 2023

Cited by 1 | Viewed by 886

Abstract

The engineering of thermo-optic effects has found broad applications in integrated photonic devices, facilitating efficient light manipulation to achieve various functionalities. Here, we perform both an experimental characterization and a theoretical analysis of these effects in integrated microring resonators made from high-index doped [...] Read more.

The engineering of thermo-optic effects has found broad applications in integrated photonic devices, facilitating efficient light manipulation to achieve various functionalities. Here, we perform both an experimental characterization and a theoretical analysis of these effects in integrated microring resonators made from high-index doped silica, which have had many applications in integrated photonics and nonlinear optics. By fitting the experimental results with theory, we obtain fundamental parameters that characterize their thermo-optic performance, including the thermo-optic coefficient, the efficiency of the optically induced thermo-optic process, and the thermal conductivity. The characteristics of these parameters are compared to those of other materials commonly used for integrated photonic platforms, such as silicon, silicon nitride, and silica. These results offer a comprehensive insight into the thermo-optic properties of doped silica-based devices. Understanding these properties is essential for efficiently controlling and engineering them in many practical applications. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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20 pages, 7238 KiB

Open AccessArticle

An Error Estimation System for Close-Range Photogrammetric Systems and Algorithms

by Anton Poroykov, Olga Pechinskaya, Ekaterina Shmatko, Danil Eremin and Nikita Sivov

Sensors 2023, 23(24), 9715; https://doi.org/10.3390/s23249715 - 08 Dec 2023

Viewed by 642

Abstract

Close-range photogrammetry methods are widely used for non-contact and accurate measurements of surface shapes. These methods are based on calculating the three-dimensional coordinates of an object from two-dimensional images using special digital processing algorithms. Due to the relatively complex measurement principle, the accurate [...] Read more.

Close-range photogrammetry methods are widely used for non-contact and accurate measurements of surface shapes. These methods are based on calculating the three-dimensional coordinates of an object from two-dimensional images using special digital processing algorithms. Due to the relatively complex measurement principle, the accurate estimation of the photogrammetric measurement error is a non-trivial task. Typically, theoretical estimations or computer modelling are used to solve this problem. However, these approaches cannot provide an accurate estimate because it is impossible to consider all factors that influence the measurement results. To solve this problem, we propose the use of physical modelling. The measurement results from the photogrammetric system under test were compared with the results of a more accurate reference measurement method. This comparison allowed the error to be estimated under controlled conditions. The test object was a flexible surface whose shape could vary smoothly over a wide range. The estimation of the measurement accuracy for a large number of different surface shapes allows us to obtain new results that are difficult to obtain using standard approaches. To implement the proposed approach, a laboratory system for the error estimation of close-range photogrammetric measurements was developed. The paper contains a detailed description of the developed system and the proposed technique for a comparison of the measurement results. The error in the reference method, which was chosen to be phasogrammetry, was evaluated experimentally. Experimental testing of the stereo photogrammetric system was performed according to the proposed technique. The obtained results show that the proposed technique can reveal dependencies that may not be detected by standard approaches. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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14 pages, 2363 KiB

Open AccessArticle

Quartz-Enhanced Photoacoustic Spectroscopy Assisted by Partial Least-Squares Regression for Multi-Gas Measurements

by Andreas N. Rasmussen, Benjamin L. Thomsen, Jesper B. Christensen, Jan C. Petersen and Mikael Lassen

Sensors 2023, 23(18), 7984; https://doi.org/10.3390/s23187984 - 20 Sep 2023

Viewed by 788

Abstract

We report on the use of quartz-enhanced photoacoustic spectroscopy (QEPAS) for multi-gas detection. Photoacoustic (PA) spectra of mixtures of water (H

_{2}

O), ammonia (NH

_{3}

), and methane (CH

_{4}

) were measured in the mid-infrared (MIR) wavelength range using a mid-infrared [...] Read more.

We report on the use of quartz-enhanced photoacoustic spectroscopy (QEPAS) for multi-gas detection. Photoacoustic (PA) spectra of mixtures of water (H

_{2}

O), ammonia (NH

_{3}

), and methane (CH

_{4}

) were measured in the mid-infrared (MIR) wavelength range using a mid-infrared (MIR) optical parametric oscillator (OPO) light source. Highly overlapping absorption spectra are a common challenge for gas spectroscopy. To mitigate this, we used a partial least-squares regression (PLS) method to estimate the mixing ratio and concentrations of the individual gasses. The concentration range explored in the analysis varies from a few parts per million (ppm) to thousands of ppm. Spectra obtained from HITRAN and experimental single-molecule reference spectra of each of the molecular species were acquired and used as training data sets. These spectra were used to generate simulated spectra of the gas mixtures (linear combinations of the reference spectra). Here, in this proof-of-concept experiment, we demonstrate that after an absolute calibration of the QEPAS cell, the PLS analyses could be used to determine concentrations of single molecular species with a relative accuracy within a few % for mixtures of H

_{2}

O, NH

_{3}

, and CH

_{4}

and with an absolute sensitivity of approximately 300 (±50) ppm/V, 50 (±5) ppm/V, and 5 (±2) ppm/V for water, ammonia, and methane, respectively. This demonstrates that QEPAS assisted by PLS is a powerful approach to estimate concentrations of individual gas components with considerable spectral overlap, which is a typical scenario for real-life adoptions and applications. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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18 pages, 2684 KiB

Open AccessArticle

Novel Bayesian Inference-Based Approach for the Uncertainty Characterization of Zhang’s Camera Calibration Method

by Ramón Gutiérrez-Moizant, María Jesús L. Boada, María Ramírez-Berasategui and Abdulla Al-Kaff

Sensors 2023, 23(18), 7903; https://doi.org/10.3390/s23187903 - 15 Sep 2023

Viewed by 741

Abstract

Camera calibration is necessary for many machine vision applications. The calibration methods are based on linear or non-linear optimization techniques that aim to find the best estimate of the camera parameters. One of the most commonly used methods in computer vision for the [...] Read more.

Camera calibration is necessary for many machine vision applications. The calibration methods are based on linear or non-linear optimization techniques that aim to find the best estimate of the camera parameters. One of the most commonly used methods in computer vision for the calibration of intrinsic camera parameters and lens distortion (interior orientation) is Zhang’s method. Additionally, the uncertainty of the camera parameters is normally estimated by assuming that their variability can be explained by the images of the different poses of a checkerboard. However, the degree of reliability for both the best parameter values and their associated uncertainties has not yet been verified. Inaccurate estimates of intrinsic and extrinsic parameters during camera calibration may introduce additional biases in post-processing. This is why we propose a novel Bayesian inference-based approach that has allowed us to evaluate the degree of certainty of Zhang’s camera calibration procedure. For this purpose, the a prioriprobability was assumed to be the one estimated by Zhang, and the intrinsic parameters were recalibrated by Bayesian inversion. The uncertainty of the intrinsic parameters was found to differ from the ones estimated with Zhang’s method. However, the major source of inaccuracy is caused by the procedure for calculating the extrinsic parameters. The procedure used in the novel Bayesian inference-based approach significantly improves the reliability of the predictions of the image points, as it optimizes the extrinsic parameters. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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15 pages, 5762 KiB

Open AccessArticle

An Automatic Calibration Method for the Field of View Aberration in a Risley-Prism-Based Image Sensor

by Zhonglin Lin, Wenchao Liu, Jinyu Gan, Jilian Lu, Feng Huang, Xianyu Wu and Weixiong Wang

Sensors 2023, 23(18), 7777; https://doi.org/10.3390/s23187777 - 09 Sep 2023

Viewed by 800

Abstract

Risley-prism-based image sensors can expand the imaging field of view through beam control. The larger the top angle of the prism, the higher the magnification of the field of view, but at the same time, it aggravates the problem of imaging aberrations, which [...] Read more.

Risley-prism-based image sensors can expand the imaging field of view through beam control. The larger the top angle of the prism, the higher the magnification of the field of view, but at the same time, it aggravates the problem of imaging aberrations, which also puts higher requirements on the aberration correction method for the Risley-prism-based image sensor. To improve the speed, accuracy, and stability of the aberration correction process, an automatic calibration method for the Risley-prism-based image sensor is proposed based on a two-axis turntable. The image datasets of the calibration plate with different prism rotation angles and object distances are acquired using a two-axis turntable. Then, the images of the calibration plate are pre-processed using the bicubic interpolation algorithm. The calibration parameters are finally calculated, and parameter optimization is performed. The experimental results verify the feasibility of this automated calibration method. The reprojection error of the calibration is within 0.26 pixels when the distance of the imaging sensor is 3.6 m from the object, and the fine aberration correction results are observed. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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10 pages, 1595 KiB

Open AccessCommunication

Modeling Signal-to-Noise Ratio of CMOS Image Sensors with a Stochastic Approach under Non-Stationary Conditions

by Gil Cherniak, Jonathan Nemirovsky, Amikam Nemirovsky and Yael Nemirovsky

Sensors 2023, 23(17), 7344; https://doi.org/10.3390/s23177344 - 23 Aug 2023

Viewed by 894

Abstract

A stochastic model for characterizing the conversion gain of Active Pixel Complementary metal–oxide–semiconductor (CMOS) image sensors (APS), assuming stationary conditions was recently presented in this journal. In this study, we extend the stochastic approach to non-stationary conditions. Non-stationary conditions occur in gated imaging [...] Read more.

A stochastic model for characterizing the conversion gain of Active Pixel Complementary metal–oxide–semiconductor (CMOS) image sensors (APS), assuming stationary conditions was recently presented in this journal. In this study, we extend the stochastic approach to non-stationary conditions. Non-stationary conditions occur in gated imaging applications. This new stochastic model, which is based on fundamental physical considerations, enlightens us with new insights into gated CMOS imaging, regardless of the sensor. The Signal-to-Noise Ratio (SNR) is simulated, allowing optimized performance. The conversion gain should be determined under stationary conditions. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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22 pages, 3595 KiB

Open AccessArticle

Measuring Uncertainty Analysis of the New Leveling Staff Calibration System

by Sergej Baričević, Tomislav Staroveški, Đuro Barković and Mladen Zrinjski

Sensors 2023, 23(14), 6358; https://doi.org/10.3390/s23146358 - 13 Jul 2023

Cited by 1 | Viewed by 1005

Abstract

Besides precise levels, precise leveling staffs are a crucial part of the measuring equipment when carrying out geodetic (geometric) leveling measurements. The leveling staffs define the scale of the height reference system, so it is important to calibrate them periodically and when necessary. [...] Read more.

Besides precise levels, precise leveling staffs are a crucial part of the measuring equipment when carrying out geodetic (geometric) leveling measurements. The leveling staffs define the scale of the height reference system, so it is important to calibrate them periodically and when necessary. This paper shortly describes the development of the new method of calibrating leveling staffs in the Laboratory for Measurements and Measuring Technique of the Faculty of Geodesy, University of Zagreb. The existing horizontal comparator was upgraded by installing a servo-motorized positioning drive with a mounted CCD camera and telecentric lens that is used to record graduations of the leveling staffs. The software was developed to support the management of the comparator system, as well as for the analysis and processing of images and measurement data and, most importantly, giving the result in the form of a calibration report. The main subject of this paper is a detailed assessment of the measurement uncertainty of determining the position of the edges of the graduation lines and determining the scale of precise centimeter and coded leveling staffs. The estimates were confirmed by experimental measurements. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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15 pages, 9024 KiB

Open AccessArticle

Active Alignment of Large-Aperture Space Telescopes for Optimal Ellipticity Performance

by Xiaoquan Bai, Xixi Gu, Boqian Xu, Fengyi Jiang, Zhirong Lu, Shuyan Xu and Guohao Ju

Sensors 2023, 23(10), 4705; https://doi.org/10.3390/s23104705 - 12 May 2023

Viewed by 1129

Abstract

Ellipticity performance of space telescopes is important for exploration of dark matter. However, traditional on-orbit active optical alignment of space telescopes often takes “minimum wavefront error across the field of view” as the correction goal, and the ellipticity performance after correcting the wave [...] Read more.

Ellipticity performance of space telescopes is important for exploration of dark matter. However, traditional on-orbit active optical alignment of space telescopes often takes “minimum wavefront error across the field of view” as the correction goal, and the ellipticity performance after correcting the wave aberration is not optimal. This paper proposes an active optical alignment strategy to achieve optimal ellipticity performance. Based on the framework of nodal aberration theory (NAT), the aberration field distribution corresponding to the optimal full field-of-view ellipticity is determined using global optimization. The degrees of freedom (DOFs) of the secondary mirror and the folded flat mirror are taken as the compensation DOFs to achieve the optimal ellipticity performance. Some valuable insights into aberration field characteristics corresponding to optimal ellipticity performance are presented. This work lays a basis for the correction of ellipticity for complicated optical systems. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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13 pages, 6014 KiB

Open AccessCommunication

Design and Study of a Reflector-Separated Light Dispersion-Compensated 3D Microscopy System

by Hui Li, Xin Tan, Qingbin Jiao, Yuhang Li, Siqi Liu, Jian Pei, Jiahang Zhang, Wei Zhang and Liang Xu

Sensors 2023, 23(9), 4516; https://doi.org/10.3390/s23094516 - 06 May 2023

Viewed by 1278

Abstract

The secondary-phase grating-based tomographic microscopy system, which is widely used in the biological and life sciences, can observe all the sample multilayer image information simultaneously because it has multifocal points. However, chromatic aberration exists in the grating diffraction, which seriously affects the observation [...] Read more.

The secondary-phase grating-based tomographic microscopy system, which is widely used in the biological and life sciences, can observe all the sample multilayer image information simultaneously because it has multifocal points. However, chromatic aberration exists in the grating diffraction, which seriously affects the observation of the image. To correct the chromatic aberration of the tomographic microscope system, this paper proposes a system that adopts blazed gratings and angle-variable reflectors as chromatic aberration correction devices according to the principle of dispersion compensation and Fourier phase-shift theory. A reflector-separated light dispersion-compensated 3D microscopy system is presented to achieve chromatic aberration correction while solving the problem of multilayer image overlap. The theoretical verification and optical design of the system were completed using ZEMAX software. The results show that the proposed system reduced the chromatic aberration of ordinary tomographic microscopy systems by more than 90%, retaining more wavelengths of light information. In addition, the system had a relatively wide range in the color difference compensation element installation position, reducing the difficulty of dispersion compensation element installation. Overall, the results indicate that the proposed system is effective in reducing chromatic aberration in grating diffraction. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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16 pages, 1451 KiB

Open AccessArticle

Pointing Error Correction for a Moving-Platform Electro-Optical Telescope Using an Optimized Parameter Model

by Yan He, Yahui Zhang, Xiaohua Feng, Shuwei Deng and Zhiwen Wang

Sensors 2023, 23(8), 4121; https://doi.org/10.3390/s23084121 - 20 Apr 2023

Cited by 5 | Viewed by 1586

Abstract

This paper proposes a new optimized parameter model that enhances the pointing accuracy of moving-platform electro-optical telescopes (MPEOTs). The study begins by comprehensively analyzing the error sources, including the telescope and the platform navigation system. Next, a linear pointing correction model is established [...] Read more.

This paper proposes a new optimized parameter model that enhances the pointing accuracy of moving-platform electro-optical telescopes (MPEOTs). The study begins by comprehensively analyzing the error sources, including the telescope and the platform navigation system. Next, a linear pointing correction model is established based on the target positioning process. To eliminate multicollinearity, stepwise regression is applied to obtain the optimized parameter model. The experimental results show that the MPEOT corrected by this model outperforms the mount model, with pointing errors of less than 50 arcsec for approximately 23 h. In the three tests conducted, the modified azimuth error(s) (RMS) were 14.07″, 12.71″, and 28.93″, and the elevation error(s) (RMS) were 12.94″, 12.73″, and 28.30″, respectively. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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19 pages, 8033 KiB

Open AccessArticle

Adaptive Reflection Detection and Control Strategy of Pointer Meters Based on YOLOv5s

by Deyuan Liu, Changgen Deng, Haodong Zhang, Jinrong Li and Baojun Shi

Sensors 2023, 23(5), 2562; https://doi.org/10.3390/s23052562 - 25 Feb 2023

Cited by 2 | Viewed by 1507

Abstract

Reflective phenomena often occur in the detecting process of pointer meters by inspection robots in complex environments, which can cause the failure of pointer meter readings. In this paper, an improved k-means clustering method for adaptive detection of pointer meter reflective areas and [...] Read more.

Reflective phenomena often occur in the detecting process of pointer meters by inspection robots in complex environments, which can cause the failure of pointer meter readings. In this paper, an improved k-means clustering method for adaptive detection of pointer meter reflective areas and a robot pose control strategy to remove reflective areas are proposed based on deep learning. It mainly includes three steps: (1) YOLOv5s (You Only Look Once v5-small) deep learning network is used for real-time detection of pointer meters. The detected reflective pointer meters are preprocessed by using a perspective transformation. Then, the detection results and deep learning algorithm are combined with the perspective transformation. (2) Based on YUV (luminance-bandwidth-chrominance) color spatial information of collected pointer meter images, the fitting curve of the brightness component histogram and its peak and valley information is obtained. Then, the k-means algorithm is improved based on this information to adaptively determine its optimal clustering number and its initial clustering center. In addition, the reflection detection of pointer meter images is carried out based on the improved k-means clustering algorithm. (3) The robot pose control strategy, including its moving direction and distance, can be determined to eliminate the reflective areas. Finally, an inspection robot detection platform is built for experimental study on the performance of the proposed detection method. Experimental results show that the proposed method not only has good detection accuracy that achieves 0.809 but also has the shortest detection time, which is only 0.6392 s compared with other methods available in the literature. The main contribution of this paper is to provide a theoretical and technical reference to avoid circumferential reflection for inspection robots. It can adaptively and accurately detect reflective areas of pointer meters and can quickly remove them by controlling the movement of inspection robots. The proposed detection method has the potential application to realize real-time reflection detection and recognition of pointer meters for inspection robots in complex environments. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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15 pages, 9110 KiB

Open AccessArticle

Optical Fiber Magnetic Field Sensors Based on 3 × 3 Coupler and Iron-Based Amorphous Nanocrystalline Ribbons

by Minggan Lou, Wentao Zhang, Wenzhu Huang and Xuekui Xi

Sensors 2023, 23(5), 2530; https://doi.org/10.3390/s23052530 - 24 Feb 2023

Cited by 3 | Viewed by 1560

Abstract

Optical fiber interferometric magnetic field sensors based on magnetostrictive effects have several advantages, e.g., high sensitivity, strong adaptability to harsh environments, long distance transmission, etc. They also have great application prospects in deep wells, oceans, and other extreme environments. In this paper, two [...] Read more.

Optical fiber interferometric magnetic field sensors based on magnetostrictive effects have several advantages, e.g., high sensitivity, strong adaptability to harsh environments, long distance transmission, etc. They also have great application prospects in deep wells, oceans, and other extreme environments. In this paper, two optical fiber magnetic field sensors based on iron-based amorphous nanocrystalline ribbons and a passive 3 × 3 coupler demodulation system were proposed and experimentally tested. The sensor structure and the equal-arm Mach–Zehnder fiber interferometer were designed, and the experimental results showed that the magnetic field resolutions of the optical fiber magnetic field sensors with sensing length of 0.25 m and 1 m were 15.4 nT/√Hz @ 10 Hz and 4.2 nT/√Hz @ 10 Hz, respectively. This confirmed the sensitivity multiplication relationship between the two sensors and the feasibility of improving the magnetic field resolution to the pT level by increasing the sensing length. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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12 pages, 2702 KiB

Open AccessArticle

Performance Comparison of Tungsten-Halogen Light and Phosphor-Converted NIR LED in Soluble Solid Content Estimation of Apple

by Hoyoung Lee, Sungho Cho, Jongguk Lim, Ahyeong Lee, Giyoung Kim, Doo-Jin Song, Seung-Woo Chun, Min-Jee Kim and Changyeun Mo

Sensors 2023, 23(4), 1961; https://doi.org/10.3390/s23041961 - 09 Feb 2023

Cited by 4 | Viewed by 1860

Abstract

A Tungsten-Halogen (TH) lamp is the most popular light source in NIR spectroscopy and hyperspectral imaging, which requires a warm-up to reach very high temperatures of up to 250 °C and take a long time for radiation stabilization. Consequently, it has a large [...] Read more.

A Tungsten-Halogen (TH) lamp is the most popular light source in NIR spectroscopy and hyperspectral imaging, which requires a warm-up to reach very high temperatures of up to 250 °C and take a long time for radiation stabilization. Consequently, it has a large enough volume to enable heat dissipation to prevent the thermal runaway of the electric circuit and turn out its power efficiency very low. These are major barriers for miniaturizing spectral systems and hyperspectral imaging devices. However, TH lamps can be replaced by pc-NIR LEDs in order to avoid high temperature and large volume. We compared the spectral emission of the available commercial pc-NIR LEDs under the same condition. As a replacement for the TH lamp, the VIS + NIR LED module was developed to combine a warm-white LED and pc-NIR LEDs. In order to feature out the availability of the VIS + NIR LED module against the TH lamp, they were used as the light source for evaluating the Soluble Solid Content (SSC) of an apple through VIS-NIR spectroscopy. The results show a remarkable feasibility in the performance of the partial least square (PLS) model using the VIS + NIR LED module; during PLS calibration, the correlation coefficient (R) values are 0.664 and 0.701, and the Mean Square Error (MSE) values are 0.681 and 0.602 for the TH lamp and VIS + NIR LED module, respectively. In VIS-NIR spectroscopy, this study indicates that the TH lamp could be replaceable with a warm-white LED and pc-NIR LEDs. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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14 pages, 4679 KiB

Open AccessArticle

Calibrating Laser Three-Dimensional Projection Systems Using Binocular Vision

by Dabao Lao, Yukai Wang, Fang Wang and Chao Gao

Sensors 2023, 23(4), 1941; https://doi.org/10.3390/s23041941 - 09 Feb 2023

Cited by 1 | Viewed by 1378

Abstract

A laser three-dimensional (3D) projection system is an auxiliary system in intelligent manufacturing. It works with a positioning system in practical applications. This study proposes a calibration method for laser 3D projection systems based on binocular vision. The significance of the binocular vision [...] Read more.

A laser three-dimensional (3D) projection system is an auxiliary system in intelligent manufacturing. It works with a positioning system in practical applications. This study proposes a calibration method for laser 3D projection systems based on binocular vision. The significance of the binocular vision positioning function for the calibration process was analyzed. Two calibration methods for laser 3D projection systems based on the binocular vision positioning function were proposed. One method involves simplified calculation models and another used data to solve the conversion relationship. The experimental calibration of the projection system was performed using data to directly solve the conversion relationship. The experiment demonstrated the simplicity of the proposed calibration method. The calculation time was less under the 3D laser projection system based on binocular vision. Moreover, the mean calibration error was 0.38 mm at a working distance of 1.8–2.2 m. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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24 pages, 2354 KiB

Open AccessArticle

A Novel Method for Pose and Position Calibration of Laser Displacement Sensors

by Liya Han, Long Yu and Xusheng Zhu

Sensors 2023, 23(4), 1762; https://doi.org/10.3390/s23041762 - 04 Feb 2023

Cited by 1 | Viewed by 1378

Abstract

Laser displacement sensors are widely used in the aviation industry for the purpose of surface normal measurements. The measurement of a surface normal depends on prior knowledge of the poses and positions of the sensors, which are obtained through calibration. This paper introduces [...] Read more.

Laser displacement sensors are widely used in the aviation industry for the purpose of surface normal measurements. The measurement of a surface normal depends on prior knowledge of the poses and positions of the sensors, which are obtained through calibration. This paper introduces a new parameter to the traditional calibration procedure, to reduce the calibration error, and explores the factors affecting calibration using the Monte Carlo method. In the experiment, the normal measurement error of the probe consisted of four sensors after calibration was less than

0 . 1^{\circ}

, which satisfied the established requirements. This paper indicates the boundary conditions for a successful calibration and validates the proposed method, which provides a new method for the pose and position calibration of laser displacement sensors and other similar sensors. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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13 pages, 4630 KiB

Open AccessCommunication

Fiber Optic Impact Location System Based on a Tracking Tandem Low-Coherence Interferometer

by Petr Volkov, Andrey Lukyanov, Alexander Goryunov, Daniil Semikov, Evgeniy Vopilkin and Stanislav Kraev

Sensors 2023, 23(2), 772; https://doi.org/10.3390/s23020772 - 10 Jan 2023

Cited by 1 | Viewed by 1531

Abstract

This study proposes a method for detecting small-length fluctuations for fiber-optic sensors (FOS). The method is based on a tracking tandem low-coherence interferometer and enables the ability to compensate for temperature and deformation drifts in FOS. As a result, the constant high sensitivity [...] Read more.

This study proposes a method for detecting small-length fluctuations for fiber-optic sensors (FOS). The method is based on a tracking tandem low-coherence interferometer and enables the ability to compensate for temperature and deformation drifts in FOS. As a result, the constant high sensitivity of FOS over a wide frequency range is guaranteed. Sensitivity to the level of 2 nm in the frequency range of 200 kHz has been demonstrated. The operation of the circuit is demonstrated on the example of the 2D location of acoustic signals using a correlation algorithm for signal processing, known as the time reversal method. It is shown that this system enables us to determine the place of the impact on the sample under the test with an accuracy of about 2 cm using a single sensor. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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10 pages, 2767 KiB

Open AccessArticle

Simultaneous Schlieren-Shadowgraph Visualization and Temperature Measurement Fields of Fluid Flow Using One Color CCD Camera

by Adrián Martínez-González, David Moreno-Hernández, Miguel León-Rodríguez, César Carrillo-Delgado and Enrique Cossío-Vargas

Sensors 2022, 22(23), 9529; https://doi.org/10.3390/s22239529 - 06 Dec 2022

Cited by 1 | Viewed by 1774

Abstract

Visualizing two variables in the fluid flow requires a complex optical system to fulfill such a purpose. Furthermore, in these applications, measuring the temperature fields of the fluid is sometimes necessary. In this work, we use a color digital camera to record in [...] Read more.

Visualizing two variables in the fluid flow requires a complex optical system to fulfill such a purpose. Furthermore, in these applications, measuring the temperature fields of the fluid is sometimes necessary. In this work, we use a color digital camera to record in one snapshot shadowgraph and two direction sensitivity Schlieren images. Furthermore, the Schlieren images obtained are used to measure temperature fields. The optical system, as main components, employs an rgb Light Emitting Diode (LED), two knife edges represented by shortpass and longpass ultra-thin filters, and a color digital camera. The results of this study show that shadowgraph images are contaminated with the crosstalk effect, and correction against it was applied. On the other hand, the reached resolution of the optical system to measure temperature values is approximately one degree. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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10 pages, 3360 KiB

Open AccessArticle

Piston Sensing for Golay-6 Sparse Aperture System with Double-Defocused Sharpness Metrics via ResNet-34

by Senmiao Wang, Quanying Wu, Junliu Fan, Baohua Chen, Xiaoyi Chen, Lei Chen, Donghui Shen and Lidong Yin

Sensors 2022, 22(23), 9484; https://doi.org/10.3390/s22239484 - 04 Dec 2022

Cited by 1 | Viewed by 1403

Abstract

In pursuit of high imaging quality, optical sparse aperture systems must correct piston errors quickly within a small range. In this paper, we modified the existing deep-learning piston detection method for the Golay-6 array, by using a more powerful single convolutional neural network [...] Read more.

In pursuit of high imaging quality, optical sparse aperture systems must correct piston errors quickly within a small range. In this paper, we modified the existing deep-learning piston detection method for the Golay-6 array, by using a more powerful single convolutional neural network based on ResNet-34 for feature extraction; another fully connected layer was added, on the basis of this network, to obtain the best results. The Double-defocused Sharpness Metric (DSM) was selected first, as a feature vector to enhance the model performance; the average RMSE of the five sub-apertures for valid detection in our study was only 0.015λ (9 nm). This modified method has higher detecting precision, and requires fewer training datasets with less training time. Compared to the conventional approach, this technique is more suitable for the piston sensing of complex configurations. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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13 pages, 10348 KiB

Open AccessArticle

Calibration of Deformable Mirrors for Open-Loop Control

by Marcel Leutenegger and Stefan W. Hell

Sensors 2022, 22(21), 8465; https://doi.org/10.3390/s22218465 - 03 Nov 2022

Viewed by 1430

Abstract

Deformable mirrors enable the control of wave fronts for the compensation of aberrations in optical systems and/or for beam scanning. Manufacturers of deformable mirrors typically provide calibration data that encode for the fabrication tolerances among the actuators and mirror segments to support open-loop [...] Read more.

Deformable mirrors enable the control of wave fronts for the compensation of aberrations in optical systems and/or for beam scanning. Manufacturers of deformable mirrors typically provide calibration data that encode for the fabrication tolerances among the actuators and mirror segments to support open-loop control with high wave front fidelity and accuracy. We report a calibration method that enables users of the deformable mirrors to measure the response of the mirror itself to validate and improve the calibration data. For this purpose, an imaging off-axis Michelson interferometer was built that allowed measuring the mirror topography with high accuracy and sufficient spatial resolution. By calibrating each actuator over its entire range, the open-loop performance for our deformable mirror was improved. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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12 pages, 3407 KiB

Open AccessArticle

Revisiting the Modeling of the Conversion Gain of CMOS Image Sensors with a New Stochastic Approach

by Gil Cherniak, Amikam Nemirovsky and Yael Nemirovsky

Sensors 2022, 22(19), 7620; https://doi.org/10.3390/s22197620 - 08 Oct 2022

Cited by 4 | Viewed by 2385

Abstract

A stochastic model for characterizing the conversion gain of Active Pixel Complementary metal–oxide–semiconductor (CMOS) image sensors (APS) with at least four transistors is presented. This model, based on the fundamental principles of electronic noise, may provide a reliable calibration of the gain conversion, [...] Read more.

A stochastic model for characterizing the conversion gain of Active Pixel Complementary metal–oxide–semiconductor (CMOS) image sensors (APS) with at least four transistors is presented. This model, based on the fundamental principles of electronic noise, may provide a reliable calibration of the gain conversion, which is one of the most important parameters of CMOS Image Sensor pixels. The new model revisits the “gold standard” ratio method of the measured variance of the shot noise to the mean value. The model assumes that shot noise is the dominant noise source of the pixel. The microscopic random time-dependent voltage of any shot noise electron charging the junction capacitance C of the sensing node may have either an exponential form or a step form. In the former case, a factor of 1/2 appears in the variance to the mean value, namely, q/2C is obtained. In the latter case, the well-established ratio q/C remains, where q is the electron charge. This correction factor affects the parameters that are based on the conversion gain, such as quantum efficiency and noise. The model has been successfully tested for advanced image sensors with six transistors fabricated in a commercial FAB, applying a CMOS 180 nm technology node with four metals. The stochastic modeling is corroborated by measurements of the quantum efficiency and simulations with advanced software (Lumerical). Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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13 pages, 1383 KiB

Open AccessArticle

Optimization Model of Signal-to-Noise Ratio for a Typical Polarization Multispectral Imaging Remote Sensor

by Ying Zhang, Hao Wang, Heshen Li, Junhua Sun, Huilan Liu and Yingshuo Yin

Sensors 2022, 22(17), 6624; https://doi.org/10.3390/s22176624 - 01 Sep 2022

Cited by 2 | Viewed by 1461

Abstract

The signal-to-noise ratio (SNR) is an important performance evaluation index of polarization spectral imaging remote sensors. The SNR-estimation method based on the existing remote sensor is not perfect. To improve the SNR of this model, a partial detector check slant direction is presented [...] Read more.

The signal-to-noise ratio (SNR) is an important performance evaluation index of polarization spectral imaging remote sensors. The SNR-estimation method based on the existing remote sensor is not perfect. To improve the SNR of this model, a partial detector check slant direction is presented in this study, and a polarization extinction ratio related to the internal SNR model of a typical multispectral imaging remote sensor is combined with the vector radiative transfer model to construct the atmosphere 6SV–SNR coupling model. The new result is that the central wavelength of the detection spectrum, the observation zenith angle, and the extinction ratio all affect the SNR of the remote sensor, and the SNR increases with the increase in the central wavelength of the detection spectrum. It is proved that the model can comprehensively estimate the SNR of a typical polarization multispectral imaging remote sensor under different detection conditions, and it provides an important basis for the application evaluation of such remote sensors. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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Review

Jump to: Research

25 pages, 10766 KiB

Open AccessReview

Fluorescence Methods for the Detection of Bioaerosols in Their Civil and Military Applications

by Mirosław Kwaśny, Aneta Bombalska, Miron Kaliszewski, Maksymilian Włodarski and Krzysztof Kopczyński

Sensors 2023, 23(6), 3339; https://doi.org/10.3390/s23063339 - 22 Mar 2023

Cited by 4 | Viewed by 2291

Abstract

The article presents the history of the development and the current state of the apparatus for the detection of interferents and biological warfare simulants in the air with the laser-induced fluorescence (LIF) method. The LIF method is the most sensitive spectroscopic method and [...] Read more.

The article presents the history of the development and the current state of the apparatus for the detection of interferents and biological warfare simulants in the air with the laser-induced fluorescence (LIF) method. The LIF method is the most sensitive spectroscopic method and also enables the measurement of single particles of biological aerosols and their concentration in the air. The overview covers both the on-site measuring instruments and remote methods. The spectral characteristics of the biological agents, steady-state spectra, excitation–emission matrices, and their fluorescence lifetimes are presented. In addition to the literature, we also present our own detection systems for military applications. Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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21 pages, 5068 KiB

Open AccessReview

Optical Methods of Methane Detection

by Mirosław Kwaśny and Aneta Bombalska

Sensors 2023, 23(5), 2834; https://doi.org/10.3390/s23052834 - 05 Mar 2023

Cited by 10 | Viewed by 6693

Abstract

Methane is the most frequently analyzed gas with different concentrations ranging from single ppm or ppb to 100%. There are a wide range of applications for gas sensors including urban uses, industrial uses, rural measurements, and environment monitoring. The most important applications include [...] Read more.

Methane is the most frequently analyzed gas with different concentrations ranging from single ppm or ppb to 100%. There are a wide range of applications for gas sensors including urban uses, industrial uses, rural measurements, and environment monitoring. The most important applications include the measurement of anthropogenic greenhouse gases in the atmosphere and methane leak detection. In this review, we discuss common optical methods used for detecting methane such as non-dispersive infrared (NIR) technology, direct tunable diode spectroscopy (TDLS), cavity ring-down spectroscopy (CRDS), cavity-enhanced absorption spectroscopy (CEAS), lidar techniques, and laser photoacoustic spectroscopy. We also present our own designs of laser methane analyzers for various applications (DIAL, TDLS, NIR). Full article

(This article belongs to the Special Issue Advances in Optical Sensing, Instrumentation and Systems)

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