Laser system and method of three-wave mapping and analysis of polarization images of biological layers in differentiation of physiological states of bioobjects

Authors

DOI:

https://doi.org/10.31649/1681-7893-2026-51-1-149-159

Keywords:

laser system, three-wave polarimetry, biological layer, visualization, image analysis, differentiation of physiological states, LabVIEW environment, Random Forest algorithm

Abstract

The method and laser system for polarization mapping of biological layers have been improved through the use of a multi-wavelength approach and multi-parameter analysis of the coordinate distributions of azimuths and ellipticities. Based on statistical and autocorrelation analysis of measured maps of histological sections of the skin dermis (the “papilloma” and “melanoma” groups), objective informative features of optical anisotropy were identified. Using the obtained comprehensive array of features, an automatic binary classification of the physiological states of the samples was performed based on the Random Forest ensemble machine learning algorithm. The functional capabilities of the BT laser polarimetry system have been expanded by introducing a third semiconductor laser into the polarization irradiation unit in combination with the modernization of the binary classifier for differentiating the "melanoma" and "papilloma" states of the skin dermis.

Author Biographies

N.I. Zabolotna, Vinnytsia National Technical University

Доктор технічних наук, доцент, професор  кафедри  біомедичної інженерії та оптико-електронних систем

O.S. Shvydiuk, Vinnytsia National Technical University

Аспірант, факультет інформаційних електронних систем

References

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Published

2026-06-17

How to Cite

[1]
N. Zabolotna and O. Shvydiuk, “Laser system and method of three-wave mapping and analysis of polarization images of biological layers in differentiation of physiological states of bioobjects”, Опт-ел. інф-енерг. техн., vol. 51, no. 1, pp. 149–159, Jun. 2026.

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Biomedical Optical And Electronic Systems And Devices

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