Optical Measurement: Advanced Techniques and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 16
Special Issue Editor
Special Issue Information
Dear Colleagues,
Optical measurement provides non-contact, high-resolution, and real-time characterization tools that are essential across science, engineering, and industry. Established techniques such as interferometry, deflectometry, fringe projection profilometry, and Talbot interferometry continue to advance, offering powerful solutions for precision metrology, surface inspection, and 3D reconstruction. Recent developments include dynamic interferometry for time-resolved analysis, continuous frequency scanning interferometry for robust large-scale metrology, and novel strategies for the metrology of freeform optical surfaces. Equally important are advances in phase retrieval and phase unwrapping, which remain central to extracting quantitative information from fringe and interferometric data.
The integration of artificial intelligence (AI) and machine learning is reshaping optical metrology, enabling fringe denoising, phase unwrapping, real-time reconstruction, and adaptive measurement strategies. These innovations expand the scope of optical measurement to include increasingly complex, dynamic, and industrially relevant scenarios.
This Special Issue welcomes contributions on theoretical advances in, experimental demonstrations of, and applications of advanced optical metrology.
Topics of interest include (but are not limited to) the following:
- Interferometry, dynamic interferometry, and frequency-scanning interferometry for continuous/dynamic measurement;
- Deflectometry and slope-based optical testing;
- Fringe projection profilometry for 3D analysis;
- Talbot interferometry and self-imaging wavefront sensing;
- Metrology of freeform and aspheric optical surfaces;
- Phase retrieval and unwrapping algorithms under noisy or dynamic conditions;
- Artificial intelligence and machine learning applications in optical measurement—denoising, adaptive systems, and real-time reconstruction;
- Industrial, biomedical, and manufacturing applications of advanced optical measurement.
Dr. Jorge L. Flores
Guest Editor
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Keywords
- interferometry
- optical profilometry
- deflectometry
- phase retrieval
- denoising
- machine learning
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