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Metrological Evaluation of Optical Surfaces Using Goniometric and Spectrophotometric Techniques Cover

Metrological Evaluation of Optical Surfaces Using Goniometric and Spectrophotometric Techniques

Open Access
|Dec 2025

Abstract

This paper presents a comprehensive metrological approach for evaluating the appearance and optical properties of complex material surfaces using advanced goniometric and spectrophotometric techniques. The methodology is implemented on the newly developed robotic goniospectrophotometer RoboCapp, designed at the Czech Metrology Institute (CMI) to enable spectral and spatially resolved measurements across arbitrary illumination and observation geometries. To the best of our knowledge, this is the first measurement system to integrate quasi-monochromatic illumination with a polarization-independent detection unit providing a dynamic range spanning ten orders of magnitude. This unique combination enables high-accuracy bidirectional measurements of reflected and transmitted flux, even for samples exhibiting strong diffusivity or very low transmittance, while supporting the numerical emulation of arbitrary illuminants and detector responsivity functions. The proposed measurement procedures ensure high accuracy and full SI traceability in determining the Bidirectional Reflectance Distribution Function (BRDF). The performance of the system is demonstrated through measurements of a quasi-Lambertian diffuse standard sample (Spectralon 99) in 0°/45° geometry over the visible spectral range (400–780) nm. An uncertainty budget is provided, with results showing that the dominant contribution arises from the sample–detector aperture distance.

Language: English
Page range: 400 - 404
Submitted on: Sep 29, 2025
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Accepted on: Dec 10, 2025
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Published on: Dec 26, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2025 Jana Gerneschová, Jan Rybář, Geiland Porrovecchio, Marek Šmíd, Peter Onderčo, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.