Recent Advances in Precision Optical Measurement

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

Deadline for manuscript submissions: 20 September 2026 | Viewed by 909

Editor


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Guest Editor
Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy
Interests: optical metrology and laser-based sensing; measurement uncertainty evaluation and traceability; optical/electrical instrumentation for industrial monitoring; signal processing and soft-computing methods for measurement and diagnostics

Special Issue Information

Dear Colleagues,

Precision optical measurement is essential in today’s science and engineering, supporting applications that need high accuracy, reliability, and traceability. New developments in laser sources, photonic components, optical sensing, and signal processing techniques have significantly expanded the capabilities of optical measurement systems. At the same time, the application of optical measurement technologies in demanding contexts such as advanced manufacturing, industrial monitoring, smart sensing, and complicated experimental setups introduces additional requirements for robustness, calibration, and system-level integration.  Addressing these challenges calls for progress in optical hardware as well as well-founded methods for modelling, validation, and interpretation of measurement data. This Special Issue aims to present recent advances in precision optical measurement, including theoretical advancements, numerical modelling, and experimental validation. Contributions that boost robustness in real-world scenarios, improve measurement performance, and facilitate dependable deployment in useful applications are particularly encouraged.

We invite original research articles and review papers that report innovative optical measurement techniques, system-level solutions, and analytical methods. Contributions that bridge fundamental optical principles with practical implementation, or that critically address current limitations and future perspectives in precision optical measurement, are particularly encouraged. Topics include, but are not limited to, the following:

  • Laser-based precision measurement techniques;
  • Optical sensing and metrology systems;
  • Interferometric and self-mixing measurement methods;
  • Optical signal processing and data analysis;
  • Measurement uncertainty evaluation and traceability;
  • Optical measurements in industrial, harsh, or dynamic environments;
  • Integration of optical sensing with data-driven or digital frameworks.

Dr. Parisa Esmaili
Guest Editor

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Keywords

  • precision optical measurement
  • laser-based instrumentation
  • interferometry and self-mixing techniques
  • signal processing for optical measurements
  • industrial optical measurements
  • integrated optical sensing systems

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Published Papers (1 paper)

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Research

21 pages, 3094 KB  
Article
Neural-Network-Assisted Compensation for Enhanced High-Temperature Pressure Measurement Accuracy Using a Silica-Diaphragm Fiber-Optic Fabry–Perot Sensor
by Zhaoyi Li, Shanmin Gao, Rui Liang, Zhengyang Zhong, Hongtian Zhu, Enbo Wang, Qi Zhang, Zhichun Liu, Zhenyin Hai and Chenyang Xue
Photonics 2026, 13(6), 590; https://doi.org/10.3390/photonics13060590 - 17 Jun 2026
Viewed by 354
Abstract
Accurate pressure measurement under high-temperature conditions is challenging for silica-diaphragm-based fiber-optic Fabry–Perot (F-P) sensors because temperature causes both optical cavity length (OCL) baseline drift and pressure-sensitivity variation. In this work, a structurally simple and readily fabricated silica-diaphragm-based fiber-optic F-P pressure sensor was developed, [...] Read more.
Accurate pressure measurement under high-temperature conditions is challenging for silica-diaphragm-based fiber-optic Fabry–Perot (F-P) sensors because temperature causes both optical cavity length (OCL) baseline drift and pressure-sensitivity variation. In this work, a structurally simple and readily fabricated silica-diaphragm-based fiber-optic F-P pressure sensor was developed, and a neural-network-assisted compensation strategy was proposed to suppress the residual errors of conventional analytical compensation. A temperature-dependent response model was established to describe OCL drift and sensitivity variation. The OCL was demodulated from reflection spectra using an FFT-assisted dual-peak and MMSE refinement method, and static pressure measurements were performed over 25–400 °C and 0–2.4 MPa. Based on the experimentally verified response characteristics, a fitting-based compensation method considering both OCL drift and sensitivity variation was first implemented. A lightweight neural network was then constructed using the OCL variation, ΔOCL, and ambient temperature as physically meaningful input features. Compared with fixed-sensitivity compensation and drift-and-sensitivity fitting compensation, whose maximum full-scale errors were 7.10% F.S. and 2.74% F.S., respectively, the proposed method reduced the maximum error to 0.90% F.S. with an RMSE of 0.0045 MPa. Additional validation at the independent intermediate temperatures of 150, 250, and 350 °C further confirmed the generalization capability of the proposed NNC model between calibrated temperature gradients, achieving an overall RMSE of 0.0055 MPa and a maximum full-scale error below 0.77% F.S. The proposed approach provides a high-accuracy and practical solution for high-temperature pressure monitoring using simple fabricated silica-diaphragm F-P sensors. Full article
(This article belongs to the Special Issue Recent Advances in Precision Optical Measurement)
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