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Imaging and Sensing in Optics and Photonics

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: 25 October 2024 | Viewed by 11592

Special Issue Editor


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Guest Editor
Department of Electrical Engineering, Feng Chia University, Taichung 407, Taiwan
Interests: optical design; thin film residual stress; optical metrology; fiber-optic sensors; LMR sensors; thin-film measurements; mcro-optics devices
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Optics and photonics technologies are particularly suitable for the development of high-sensitivity sensors. Furthermore, imaging and sensing techniques will pave the way for many important biomedical applications. Due to the wide application of optical sensors, the challenge of innovatively designed optical sensing techniques for specific applications requires an in-depth understanding of the optical, material, and environmental properties that affect the performance of optical and photonic sensors. To date, many innovative structures, along with new materials and different preparation techniques, have emerged in the design and preparation of optical and photonic sensors.

This Special Issue seeks original and review articles presented by leading groups and scientists of the world scientific community in the field of optical and photonic sensing technologies. Novel imaging and sensing techniques as well as the results of their application are intended to be covered in the Special Issue.

Prof. Dr. Chuen-Lin Tien
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • optical sensor
  • fiber-optic sensor
  • image sensor
  • biological and chemical sensors
  • thin film sensor
  • biomedical sensing
  • flexible sensor
  • imaging and sensing devices

Published Papers (10 papers)

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Research

Jump to: Review

16 pages, 15256 KiB  
Article
Three-Dimensional Single Random Phase Encryption
by Byungwoo Cho and Myungjin Cho
Sensors 2024, 24(6), 1952; https://doi.org/10.3390/s24061952 - 19 Mar 2024
Viewed by 401
Abstract
In this paper, we propose a new optical encryption technique that uses the single random phase mask. In conventional optical encryptions such as double random phase encryption (DRPE), two different random phase masks are required to encrypt the primary data. For decryption, DRPE [...] Read more.
In this paper, we propose a new optical encryption technique that uses the single random phase mask. In conventional optical encryptions such as double random phase encryption (DRPE), two different random phase masks are required to encrypt the primary data. For decryption, DRPE requires taking the absolute value of the decrypted data because it is complex-valued. In addition, when key information is revealed, the primary data may be reconstructed by attackers. To reduce the number of random phase masks and enhance the security level, in this paper, we propose single random phase encryption (SRPE) with additive white Gaussian noise (AWGN) and volumetric computational reconstruction (VCR) of integral imaging. In our method, even if key information is known, the primary data may not be reconstructed. To enhance the visual quality of the decrypted data by SRPE, multiple observation is utilized. To reconstruct the primary data, we use VCR of integral imaging because it can remove AWGN by average effect. Thus, since the reconstruction depth can be another key piece of information of SRPE, the security level can be enhanced. In addition, it does not require taking the absolute value of the decrypted data for decryption. To verify the validity of our method, we implement the simulation and calculate performance metrics such as peak sidelobe ratio (PSR) and structural similarity (SSIM). In increasing the number of observations, SSIM for the decrypted data can be improved dramatically. Moreover, even if the number of observations is not enough, three-dimensional (3D) data can be decrypted by SRPE at the correct reconstruction depth. Full article
(This article belongs to the Special Issue Imaging and Sensing in Optics and Photonics)
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10 pages, 3588 KiB  
Communication
Combined Displacement and Angle Sensor with Ultra-High Compactness Based on Self-Imaging Effect of Optical Microgratings
by Mengdi Zhang, Hao Yang, Qianqi Niu, Xuye Zhang, Jiaan Yang, Jiangbei Lai, Changjiang Fan, Mengwei Li and Chenguang Xin
Sensors 2024, 24(3), 908; https://doi.org/10.3390/s24030908 - 30 Jan 2024
Viewed by 614
Abstract
In this paper, an ultracompact combined sensor for displacement and angle-synchronous measurement is proposed based on the self-imaging effect of optical microgratings. Using a two-grating structure, linear and angular displacement can be measured by detecting the change of phase and amplitude of the [...] Read more.
In this paper, an ultracompact combined sensor for displacement and angle-synchronous measurement is proposed based on the self-imaging effect of optical microgratings. Using a two-grating structure, linear and angular displacement can be measured by detecting the change of phase and amplitude of the optical transmission, respectively, within one single structure in the meantime. The optically transmitted properties of the two-grating structure are investigated in both theory and simulation. Simulated results indicate that optical transmission changes in a sinusoidal relationship to the input linear displacement. Meanwhile, the amplitude of the curve decreases with an input pitch angle, indicating the ability for synchronous measurement within one single compact structure. The synchronous measurement of the linear displacement and the angle is also demonstrated experimentally. The results show a resolution down to 4 nm for linear displacement measurement and a maximum sensitivity of 0.26 mV/arcsec within a range of ±1° for angle measurement. Benefiting from a simple common-path structure without using optical components, including reflectors and polarizers, the sensor shows ultra-high compactness for multiple-degrees-of-freedom measuring, indicating the great potential for this sensor in fields such as integrated mechanical positioning and semiconductor fabrication. Full article
(This article belongs to the Special Issue Imaging and Sensing in Optics and Photonics)
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20 pages, 18104 KiB  
Article
Vision Measurement Method Based on Plate Glass Window Refraction Model in Tunnel Construction
by Zhen Wu, Junzhou Huo, Haidong Zhang, Fan Yang, Shangqi Chen and Zhihao Feng
Sensors 2024, 24(1), 66; https://doi.org/10.3390/s24010066 - 22 Dec 2023
Viewed by 492
Abstract
Due to the harsh environment of high humidity and dust in tunnel construction, the vision measurement system needs to be equipped with an explosion-proof glass protective cover. The refractive effect of the plate glass window invalidates the pinhole model. This paper proposes a [...] Read more.
Due to the harsh environment of high humidity and dust in tunnel construction, the vision measurement system needs to be equipped with an explosion-proof glass protective cover. The refractive effect of the plate glass window invalidates the pinhole model. This paper proposes a comprehensive solution for addressing the issue of plane refraction. First, the imaging model for non-parallel plane refraction is established based on dynamic virtual focal length and the Rodriguez formula. Further, due to the failure of the epipolar constraint principle in binocular vision systems caused by plane refraction, this paper proposes the epipolar constraint model for independent refractive plane imaging. Finally, an independent refraction plane triangulation model is proposed to address the issue of triangulation failure caused by plane refraction. The RMSE of the depth of field errors in the independent refraction plane triangulation model is 2.9902 mm before correction and 0.3187 mm after correction. The RMSE of the positioning errors before and after correction are 3.5661 mm and 0.3465 mm, respectively. Full article
(This article belongs to the Special Issue Imaging and Sensing in Optics and Photonics)
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21 pages, 7968 KiB  
Article
Jitter-Caused Clutter and Drift-Caused Clutter of Staring Infrared Sensor in Geostationary Orbit
by Boyuan Bian, Feng Zhou and Xiaoman Li
Sensors 2023, 23(11), 5278; https://doi.org/10.3390/s23115278 - 02 Jun 2023
Viewed by 786
Abstract
For staring infrared sensors in geostationary orbit, the clutter caused by the high-frequency jitter and low-frequency drift of the sensor line-of-sight (LOS) is the impact of background features, sensor parameters, LOS motion characteristics, and background suppression algorithms. In this paper, the spectra of [...] Read more.
For staring infrared sensors in geostationary orbit, the clutter caused by the high-frequency jitter and low-frequency drift of the sensor line-of-sight (LOS) is the impact of background features, sensor parameters, LOS motion characteristics, and background suppression algorithms. In this paper, the spectra of LOS jitter caused by cryocoolers and momentum wheels are analyzed, and the time-related factors such as the jitter spectrum, the detector integration time, the frame period, and the temporal differencing background suppression algorithm are considered comprehensively; they are combined into a background-independent jitter-equivalent angle model. A jitter-caused clutter model in the form of multiplying the background radiation intensity gradient statistics by the jitter-equivalent angle is established. This model has good versatility and high efficiency and is suitable for the quantitative evaluation of clutter and the iterative optimization of sensor design. Based on satellite ground vibration experiments and on-orbit measured image sequences, the jitter-caused clutter and drift-caused clutter models are verified. The relative deviation between the model calculation and the actual measurement results is less than 20%. Full article
(This article belongs to the Special Issue Imaging and Sensing in Optics and Photonics)
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14 pages, 2522 KiB  
Article
Wide-Angular Tolerance Optical Filter Design and Its Application to Green Pepper Segmentation
by Jun Yu, Shu Zhan and Toru Kurihara
Sensors 2023, 23(6), 2981; https://doi.org/10.3390/s23062981 - 09 Mar 2023
Viewed by 1235
Abstract
The optical filter is critical in many applications requiring wide-angle imaging perception. However, the transmission curve of the typical optical filter will change at an oblique incident angle due to the optical path of the incident light change. In this study, we propose [...] Read more.
The optical filter is critical in many applications requiring wide-angle imaging perception. However, the transmission curve of the typical optical filter will change at an oblique incident angle due to the optical path of the incident light change. In this study, we propose a wide-angular tolerance optical filter design method based on the transfer matrix method and automatic differentiation. A novel optical merit function is proposed for simultaneous optimization at normal and oblique incidents. The simulation results demonstrate that such a wide-angular tolerance design can realize a similar transmittance curve at an oblique incident angle compared to a normal incident angle. Furthermore, how much improvement in a wide-angular optical filter design for oblique incident contributes to image segmentation remains unclear. Therefore, we evaluate several transmittance curves along with the U-Net structure for green pepper segmentation. Although our proposed method is not perfectly equal to the target design, it can achieve an average 50% smaller mean absolute error (MAE) than the original design at 20 oblique incident angle. In addition, the green pepper segmentation results show that wide-angular tolerance optical filter design improves the segmentation of the near-color object about 0.3% at 20 oblique incident angle compared to the previous design. Full article
(This article belongs to the Special Issue Imaging and Sensing in Optics and Photonics)
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13 pages, 33025 KiB  
Article
Multiparametric Remote Investigation in the near-IR through Optical Fiber for In Situ Measurements
by Letizia Fede, Gregory Lefrere, Maroun Hjeij, Ronan Le Page, Luiz Poffo, Jean-Marc Goujon and Aymeric Le Gratiet
Sensors 2023, 23(6), 2911; https://doi.org/10.3390/s23062911 - 07 Mar 2023
Viewed by 1300
Abstract
Diffuse reflectance spectroscopy (DRS) has proven to be a powerful, reliable, and non-invasive optical method for characterizing a specimen. Nevertheless, these methods are based on a rudimentary interpretation of the spectral response and can be irrelevant to understanding 3D structures. In this work, [...] Read more.
Diffuse reflectance spectroscopy (DRS) has proven to be a powerful, reliable, and non-invasive optical method for characterizing a specimen. Nevertheless, these methods are based on a rudimentary interpretation of the spectral response and can be irrelevant to understanding 3D structures. In this work, we proposed adding optical modalities into a customized handheld probe head in order to increase the number of parameters in DRS acquired from the light/matter interaction. It consists of (1) placing the sample in a reflectance manual rotation stage to collect spectral backscattered angularly resolved light and (2) illuminating it with two sequential linear polarization orientations. We demonstrate that this innovative approach leads to a compact instrument, capable of performing fast polarization-resolved spectroscopic analysis. Due to the significant amount of data available with this technique in a short time, we observe sensitive quantitative discrimination between two types of biological tissue provided by a raw rabbit leg. We believe that this technique can pave the way for rapid meat quality check or biomedical diagnosis of pathological tissues in situ at an early stage. Full article
(This article belongs to the Special Issue Imaging and Sensing in Optics and Photonics)
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16 pages, 4027 KiB  
Article
Hybrid Vibration and UV Fluorescence Technology for Rapid Imaging and Guidance for Manual Removal of Fish Bones from Fish Floss
by Yen-Hsiang Wang, Kuan-Chieh Lee, Wen-Chun Wei, Chung-Huang Wang, Hao-Jie Liu, Jia-Rong Hou, Tien-Chen Hsieh, Ju-Kai Chen, Ting-Yuan Chen, Shien-Kuei Liaw, Choa-Feng Lin, Chin-Cheng Wu, Jen-Jie Chieh and Chin-Hung Chang
Sensors 2022, 22(22), 8978; https://doi.org/10.3390/s22228978 - 20 Nov 2022
Cited by 1 | Viewed by 1559
Abstract
The objective of the proposed human–machine cooperation (HMC) workstation is to both rapidly detect calcium-based fish bones in masses of minced fish floss and visually guide operators in approaching and removing the detected fish bones by hand based on the detection of fingernails [...] Read more.
The objective of the proposed human–machine cooperation (HMC) workstation is to both rapidly detect calcium-based fish bones in masses of minced fish floss and visually guide operators in approaching and removing the detected fish bones by hand based on the detection of fingernails or plastic-based gloves. Because vibration is a separation mechanism that can prevent absorption or scattering in thick fish floss for UV fluorescence detection, the design of the HMC workstation included a vibration unit together with an optical box and display screens. The system was tested with commonly used fish (swordfish, salmon, tuna, and cod) representing various cooking conditions (raw meat, steam-cooked meat, and fish floss), their bones, and contaminating materials such as derived from gloves made of various types of plastic (polyvinylchloride, emulsion, and rubber) commonly used in the removal of fish bones. These aspects were each investigated using the spectrum analyzer and the optical box to obtain and analyze the fluorescence spectra and images. The filter was mounted on a charge-coupled device, and its transmission-wavelength window was based on the characteristic band for fish bones observed in the spectra. Gray-level AI algorithm was utilized to generate white marker rectangles. The vibration unit supports two mechanisms of air and downstream separation to improve the imaging screening of fish bones inside the considerable flow of fish floss. Notably, under 310 nm ultraviolet B (UVB) excitation, the fluorescence peaks of the raw fillets, steam-cooked meat, and fish floss were observed at for bands at longer wavelengths (500–600 nm), whereas those of the calcium and plastic materials occurred in shorter wavelength bands (400–500 nm). Perfect accuracy of 100% was achieved with the detection of 20 fish bones in 2 kg of fish floss, and the long test time of around 10–12 min results from the manual removal of these fish bones. Full article
(This article belongs to the Special Issue Imaging and Sensing in Optics and Photonics)
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24 pages, 13336 KiB  
Article
Precise Two-Dimensional Tilt Measurement Sensor with Double-Cylindrical Mirror Structure and Modified Mean-Shift Algorithm for a Confocal Microscopy System
by Zhiyi Wang, Tingyu Wang, Yongqiang Yang, Yukai Yang, Xiaotao Mi and Jianli Wang
Sensors 2022, 22(18), 6794; https://doi.org/10.3390/s22186794 - 08 Sep 2022
Cited by 5 | Viewed by 2482
Abstract
To improve the accuracy of three-dimensional (3D) surface contour measurements of freeform optics, a two-dimensional (2D) tilt measurement sensor for confocal microscopy (CM) systems is proposed based on a double-cylindrical mirror structure. First, the proposed system is accurately modeled. Second, we introduce a [...] Read more.
To improve the accuracy of three-dimensional (3D) surface contour measurements of freeform optics, a two-dimensional (2D) tilt measurement sensor for confocal microscopy (CM) systems is proposed based on a double-cylindrical mirror structure. First, the proposed system is accurately modeled. Second, we introduce a modified mean–shift-based peak-extraction algorithm with a novel kernel function (MSN) because the reflectivity of the measured object and fluctuation of the light source affect the measurement accuracy. Third, a partition fitting (PF) strategy is proposed to reduce the fitting error and improve the measurement accuracy. Simulations and experiments reveal that the robustness, speed, and angular prediction accuracy of the system effectively improved as a function of MSN and PF. The developed sensor can measure the 2D tilt, where each tilt is a composition of two separate dimensions, and the mean prediction errors in the 2D plane from −10°–+10° are 0.0134° (0.067% full scale (F.S)) and 0.0142° (0.071% F.S). The sensor enables the optical probe of a traditional CM to obtain accurate and simultaneous estimates of the 2D inclination angle and spatial position coordinates of the measured surface. The proposed sensor has potential in 3D topographic reconstruction and dynamic sampling rate optimization for 3D contour detection. Full article
(This article belongs to the Special Issue Imaging and Sensing in Optics and Photonics)
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13 pages, 3417 KiB  
Article
Jitter-Robust Phase Retrieval Wavefront Sensing Algorithms
by Liang Guo, Guohao Ju, Boqian Xu, Xiaoquan Bai, Qingyu Meng, Fengyi Jiang and Shuyan Xu
Sensors 2022, 22(15), 5584; https://doi.org/10.3390/s22155584 - 26 Jul 2022
Cited by 2 | Viewed by 1353
Abstract
Phase retrieval wavefront sensing methods are now of importance for imaging quality maintenance of space telescopes. However, their accuracy is susceptible to line-of-sight jitter due to the micro-vibration of the platform, which changes the intensity distribution of the image. The effect of the [...] Read more.
Phase retrieval wavefront sensing methods are now of importance for imaging quality maintenance of space telescopes. However, their accuracy is susceptible to line-of-sight jitter due to the micro-vibration of the platform, which changes the intensity distribution of the image. The effect of the jitter shows some stochastic properties and it is hard to present an analytic solution to this problem. This paper establishes a framework for jitter-robust image-based wavefront sensing algorithm, which utilizes two-dimensional Gaussian convolution to describe the effect of jitter on an image. On this basis, two classes of jitter-robust phase retrieval algorithms are proposed, which can be categorized into iterative-transform algorithms and parametric algorithms, respectively. Further discussions are presented for the cases where the magnitude of jitter is unknown to us. Detailed simulations and a real experiment are performed to demonstrate the effectiveness and practicality of the proposed approaches. This work improves the accuracy and practicality of the phase retrieval wavefront sensing methods in the space condition with non-ignorable micro-vibration. Full article
(This article belongs to the Special Issue Imaging and Sensing in Optics and Photonics)
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Review

Jump to: Research

24 pages, 8108 KiB  
Review
A Review of Microsphere Super-Resolution Imaging Techniques
by Wenbo Jiang, Jingchun Wang, Yidi Yang and Yun Bu
Sensors 2024, 24(8), 2511; https://doi.org/10.3390/s24082511 - 14 Apr 2024
Viewed by 340
Abstract
Conventional optical microscopes are only able to resolve objects down to a size of approximately 200 nm due to optical diffraction limits. The rapid development of nanotechnology has increased the demand for greater imaging resolution, with a need to break through those diffraction [...] Read more.
Conventional optical microscopes are only able to resolve objects down to a size of approximately 200 nm due to optical diffraction limits. The rapid development of nanotechnology has increased the demand for greater imaging resolution, with a need to break through those diffraction limits. Among super-resolution techniques, microsphere imaging has emerged as a strong contender, offering low cost, simple operation, and high resolution, especially in the fields of nanodevices, biomedicine, and semiconductors. However, this technology is still in its infancy, with an inadequate understanding of the underlying principles and the technology’s limited field of view. This paper comprehensively summarizes the status of current research, the advantages and disadvantages of the basic principles and methods of microsphere imaging, the materials and preparation processes, microsphere manipulation methods, and applications. The paper also summarizes future development trends. Full article
(This article belongs to the Special Issue Imaging and Sensing in Optics and Photonics)
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