System and method of polarimetric calibration of optical components based on the müller-matrix approach

Authors

  • N.I. Zabolotna Vinnytsia National Technical University
  • O.S. Shvydiuk Vinnytsia National Technical University

DOI:

https://doi.org/10.31649/1681-7893-2025-50-2-293-299

Keywords:

calibration of optical components, Muller matrix, polarimetric system, measurement errors, statistical analysis, binary classification

Abstract

The article develops a method for calibrating optical components based on the determination and statistical analysis of two-dimensional distributions of measurement errors of Muller matrices, supplemented by binary classification. The corresponding architecture of the Muller matrix polarimetric calibration system of optical components with a classification analysis block based on threshold processing is presented.

Author Biographies

N.I. Zabolotna, Vinnytsia National Technical University

д.т.н., доцент, професор кафедри біомедичної інженерії та оптико-електронних систем

O.S. Shvydiuk, Vinnytsia National Technical University

аспірант, факультет інформаційних електронних систем

References

Tiwari, V., Pandey, Y., Bisht, N. “Spatially Addressable Polarimetric Calibration of Reflective-Type Spatial Light Modulator Using Mueller–Stokes Polarimetry,” Frontiers in Physics. Vol. 9. (2021) URL: https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2021.709192

Jesus del Hoyo, Luis Miguel Sanchez-Brea, Jose Antonio Gomez-Pedrero. “High precision calibration method for a four-axis Mueller matrix polarimeter,” Optics and Lasers in Engineering. Vol. 132. (2020) URL: https://doi.org/10.1016/j.optlaseng.2020.106112.

Zabolotna, N.I., Sholota, V.V., Okarskyi H.H., “Methods and systems of polarization reproduction and analysis of the biological layers structure in the diagnosis of pathologies,” Proceedings of SPIE. 11369, 113691S, P. 501-513 (2020).

Vasyuk, V.L., Kalashnikov, A.V., Ushenko, A.G. et al., Digital Information Methods of Polarization, Mueller-Matrix and Fluorescent Microscopy, Springer Nature Singapore, 2023. 102 p.

Zabolotna, N.I., Radchenko, K.O. “Analiz pokhybok vyznachennia matrytsi Miullera biolohichnoho sharu v systemi dvovymirnoho miuller-matrychnoho kartohrafuvannia,” Optyko-elektronni informatsiino-enerhetychni tekhnolohii. №2. S. 62–70. (2014).

Zabolotna, N.I. “Pokhybky vymiriuvan referentnykh matryts Miullera v systemi miuller-matrychnoho kartohrafuvannia biolohichnykh shariv,” Optyko-elektronni informatsiino-enerhetychni tekhnolohii. №1 (29). S. 109–117 (2015).

Zabolotna N.I., Pavlov S.V., Karas O.V., Sholota V.V. Processing and analysis of images in the multifunctional classification laser polarimetry system of biological objects. Proceedings of SPIE. 2018. 10750. 107500N.

Pavlov S. V. Information Technology in Medical Diagnostics //Waldemar Wójcik, Andrzej Smolarz, July 11, 2017 by CRC Press - 210 Pages.

Wójcik W., Pavlov S., Kalimoldayev M. Information Technology in Medical Diagnostics II. London: (2019). Taylor & Francis Group, CRC Press, Balkema book. – 336 Pages.

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Published

2026-01-12

How to Cite

[1]
N. Zabolotna and O. Shvydiuk, “System and method of polarimetric calibration of optical components based on the müller-matrix approach”, Опт-ел. інф-енерг. техн., vol. 50, no. 2, pp. 293–299, Jan. 2026.

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Section

Optical-Electronic Devices and Components in Laser and Energy Technologies

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