Optical Measurement Systems, 2nd Edition

A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "New Applications Enabled by Photonics Technologies and Systems".

Deadline for manuscript submissions: 15 July 2025 | Viewed by 716

Special Issue Editors


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Guest Editor
School of Electrical Engineering, East China Jiaotong University, Nanchang 330000, China
Interests: optical measurement; photonics; laser technology; polarization imaging; instrumentation and metrology; precision measurement; computational optical measurement; industrial applications

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Guest Editor
College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
Interests: long distance measurement; large scale metrology; optical measurement; photonics; laser technology
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
Interests: computational optical measurement; structured light field; photonics devices for sensing and measurement; light field modulation; deep learning for optical sensing; instrumentation and metrology

Special Issue Information

Dear Colleagues,

The last decade has seen the vast development of optical measurement systems, advanced technologies that leverage the properties of light to achieve precise measurements of various physical quantities. These systems typically consist of light sources, detectors, modulators, processors and other sensors devices, and they are integral to various applications, from laser and quantum optics to industrial quality control and medical diagnostics. To further boost the impact of this exciting and rapidly evolving research area, this Special Issue intends to garner contributions from leading experts in the field, fostering effective solutions for the future challenges in optical measurement systems. Topics of this Special Issue include, but are not limited to, the following:

  • Optical measurement;
  • Laser technology;
  • Quantum optics;
  • Precision measurement;
  • Instrumentation and metrology;
  • Phase measurement;
  • Photonic devices for sensing and measurements;
  • Computational optical measurement;
  • Industrial applications;
  • Medical diagnostics.

Prof. Dr. Zhenmin Zhu
Prof. Dr. Fumin Zhang
Prof. Dr. Wei Feng
Guest Editors

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Keywords

  • optical measurement
  • laser technology
  • quantum optics
  • precision measurement
  • instrumentation and metrology
  • phase measurement
  • photonic devices for sensing and measurements
  • computational optical measurement
  • industrial applications
  • medical diagnostics

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Published Papers (1 paper)

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Research

25 pages, 8085 KiB  
Article
Finite Element Method-Based Modeling of a Novel Square Photonic Crystal Fiber Surface Plasmon Resonance Sensor with a Au–TiO2 Interface and the Relevance of Artificial Intelligence Techniques in Sensor Optimization
by Ayushman Ramola, Amit Kumar Shakya and Arik Bergman
Photonics 2025, 12(6), 565; https://doi.org/10.3390/photonics12060565 - 4 Jun 2025
Cited by 1 | Viewed by 429
Abstract
This research presents a novel square-shaped photonic crystal fiber (PCF)-based surface plasmon resonance (SPR) sensor, designed using the external metal deposition (EMD) technique, for highly sensitive refractive index (RI) sensing applications. The proposed sensor operates effectively over an RI range of 1.33 to [...] Read more.
This research presents a novel square-shaped photonic crystal fiber (PCF)-based surface plasmon resonance (SPR) sensor, designed using the external metal deposition (EMD) technique, for highly sensitive refractive index (RI) sensing applications. The proposed sensor operates effectively over an RI range of 1.33 to 1.37 and supports both x- polarized and y-polarized modes. It achieves a wavelength sensitivity of 15,800 nm/RIU and 14,300 nm/RIU, and amplitude sensitivities of 11,584 RIU−1 and 11,007 RIU−1, respectively, for the x-pol. and y-pol. The sensor also reports a resolution in the order of 10−6 RIU and a strong linearity of R2 ≈ 0.97 for both polarization modes, indicating its potential for precision detection in complex sensing environments. Beyond the sensor’s structural and performance innovations, this work also explores the future integration of artificial intelligence (AI) into PCF-SPR sensor design. AI techniques such as machine learning and deep learning offer new pathways for sensor calibration, material optimization, and real-time adaptability, significantly enhancing sensor performance and reliability. The convergence of AI with photonic sensing not only opens doors to smart, self-calibrating platforms but also establishes a foundation for next-generation sensors capable of operating in dynamic and remote applications. Full article
(This article belongs to the Special Issue Optical Measurement Systems, 2nd Edition)
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