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Photonics
Special Issues
Advanced Optical Measurement Spectroscopy and Imaging Technologies
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Advanced Optical Measurement Spectroscopy and Imaging Technologies

A special issue of Photonics (ISSN 2304-6732).

Deadline for manuscript submissions: 30 March 2026 | Viewed by 891

Special Issue Editor

Dr. Geer Teng

E-Mail Website
Guest Editor
Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7LD, UK
Interests: laser-induced breakdown spectroscopy; hyperspectral imaging; cancer diagnosis; clinical and biofilm samples monitoring; Raman spectroscopy; photoacoustic spectroscopy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the fields of environmental science, biology, medicine, and traditional industries such as manufacturing, processing, and aerospace exploration, optical detection technology remains a rapidly developing and promising method of fast detection—for example, microscopic techniques that reveal fine-scale structures, remote sensing technologies that target large and distant objects, imaging techniques that are based on spatial features, and spectroscopic methods that reflect chemical information.

Advanced optical measurement, spectroscopy, and imaging technologies are at the forefront of modern interdisciplinary science and engineering, continually pushing the boundaries of precision detection, intelligent sensing, and information acquisition. This field spans a wide range of scales—from nano-scale microscopic imaging to large-scale remote sensing—and includes both spatially resolved imaging systems and spectroscopic analysis based on molecular recognition. These technologies are widely applied in cutting-edge fields such as life sciences, environmental monitoring, materials research, aerospace exploration, and intelligent manufacturing. With the integration of innovations in laser technology, artificial intelligence, and computational imaging, future optical systems are expected to evolve toward higher resolution, greater throughput, and enhanced real-time performance, becoming a core driver for high-quality research and industrial intelligent transformation.

We are particularly interested in receiving manuscripts on recent research findings or review articles that highlight recent advancements in the application of optical measurement and spectral imaging technology. These contributions will greatly benefit our readership and provide a valuable addition to the scientific literature.

In this Special Issue, original research articles and reviews are welcome. I look forward to receiving your contributions.

Dr. Geer Teng
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. Photonics is an international peer-reviewed open access monthly 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 2400 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 information acquisition
  • photonics and spectroscopy informatics
  • spectral analysis
  • optical detection systems and new components
  • optical diagnosis
  • multimodal imaging
  • image processing
  • optical sensors
  • molecular imaging
  • remote sensing and microscopy
  • non-destructive detection
  • fast optical inspection
  • optical information algorithms and processing

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Published Papers (2 papers)

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17 pages, 2286 KB  
Article
Early Detection of Cardiovascular Disease Using Laser-Induced Breakdown Spectroscopy Combined with Machine Learning
by Amna Hameed, Bushra Sana Idrees, Rabia Nawaz, Fiza Azam, Shahwal Sabir, Amna Gulzar, Yasir Jamil and Geer Teng
Photonics 2025, 12(9), 849; https://doi.org/10.3390/photonics12090849 - 25 Aug 2025
Viewed by 482
Abstract
Cardiovascular disease (CVD) is a term used for disorders affecting the heart. Globally, it is the most common cause of death. The main purpose of this study was the rapid detection of CVD, which is essential for effective cure and inhibition. Early detection [...] Read more.
Cardiovascular disease (CVD) is a term used for disorders affecting the heart. Globally, it is the most common cause of death. The main purpose of this study was the rapid detection of CVD, which is essential for effective cure and inhibition. Early detection may lower the risk of myocardial infarction (MI) and reduce the death rate in CVD patients. Laser-induced breakdown spectroscopy (LIBS) is a non-invasive and less sample preparation technique for early detection of CVD. LIBS technique investigated the variation in intensities of different biochemical elements such as Calcium (Ca), Nitrogen (N), Sodium (Na), Carbon (C) and CN-band in the spectra of healthy and CVD patients. Machine learning algorithms applied to LIBS spectral data for the determination of validation accuracy and classification between CVD and healthy individuals. Several models achieved a perfect 100% highest accuracy, which showed the exceptional precision in the given configuration. The Narrow Neural Network achieved 100% accuracy on both the validation and test datasets in a short duration of 10.008 s. This preliminary research of LIBS combined with machine learning may provide a complementary method over existing analytical techniques for early detection of CVD. Full article
(This article belongs to the Special Issue Advanced Optical Measurement Spectroscopy and Imaging Technologies)
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Review

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18 pages, 2185 KB  
Review
Research Progress on Aging Detection of Composite Insulators Based on Spectroscopy
by Junfei Nie, Yunpiao Cai, Jinke Chen, Furong Chen, Jiapei Cao, Quan Li and Zhenlin Hu
Photonics 2025, 12(9), 905; https://doi.org/10.3390/photonics12090905 - 10 Sep 2025
Viewed by 196
Abstract
The safety of composite insulators in high-voltage transmission lines is directly related to the stable operation of the power system, which is a fundamental condition for the normal functioning of people’s lives and industrial production. Composite insulators are exposed to outdoor conditions for [...] Read more.
The safety of composite insulators in high-voltage transmission lines is directly related to the stable operation of the power system, which is a fundamental condition for the normal functioning of people’s lives and industrial production. Composite insulators are exposed to outdoor conditions for extended periods of time, and with the increase in service life, they are subjected to aging due to external environmental factors and electrical stresses. This aging leads to a decline in their electrical insulation, mechanical properties, and other performance, which, in severe cases, may result in power system failures. Therefore, accurate assessment and detection of the aging status of composite insulators are particularly important. Traditional detection methods such as visual inspection, hardness testing, and hydrophobicity testing have limitations, including single functionality and susceptibility to environmental interference, which cannot comprehensively and accurately reflect the aging condition of the insulators. In recent years, spectroscopy-based detection technologies have been increasingly applied for the rapid detection of composite insulators due to their advantages, such as high sensitivity, non-contact measurement, and multi-dimensional information extraction. Common spectroscopic detection methods include Ultraviolet Discharge (UV Discharge), Fourier Transform Infrared (FTIR) Spectroscopy, Raman Spectroscopy (RS), Hyperspectral Imaging (HSI), Laser-Induced Breakdown Spectroscopy (LIBS), and Terahertz (THz) Spectroscopy. These methods offer non-contact, remote, and rapid capabilities, enabling detailed analysis of the insulator’s surface microstructure, chemical composition, and aging characteristics. This paper introduces = spectroscopy-based methods for detecting the aging status of composite insulators, analyzing the advantages and limitations of these methods, and discussing the challenges of their industrial application. Furthermore, the paper reviews the research progress and practical applications of spectroscopic techniques in the evaluation of insulator aging status, systematically summarizing important achievements in the field and providing an outlook for future developments. Full article
(This article belongs to the Special Issue Advanced Optical Measurement Spectroscopy and Imaging Technologies)
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