D.G. Chebotarev1, A.T. Chernyaev2, I.I. Naumov3, R.R. Ibadov4

1–4 Don State Technical University (Rostov-on-Don, Russia)
1 chebotarv01@mail.ru, 2 atchernyaev@donstu.ru, 3 inaumov@donstu.ru, 4 ragim_ibadov@mail.ru

Controlling the vital functions of biological systems through exposure to electromagnetic fields in the optical range is a crucial task in biomedical engineering and biophysics. This paper presents a hardware-software complex designed for the precision management of photomorphogenesis and non-invasive monitoring of the state of biological objects. The study aims to develop and implement an integrated optoelectronic system for the automated registration and processing of digital images of model test cultures (Raphanus sativus L. and Eruca sativa Mill.) within a controlled light environment.

The purpose of this study is the design, hardware and software implementation, and experimental validation of an integrated optoelectronic system for automated image processing based on the OpenCV library for precision non-invasive monitoring of biological test cultures under controlled multispectral irradiation.

The complex includes a spectral program generation unit based on semiconductor light sources and an optical diagnostics module utilizing the OpenCV computer vision library. The developed algorithm incorporates segmentation in the HSV color space, which ensures system resilience to fluctuations in lighting intensity, as well as morphological filtering and contour analysis to determine the metric characteristics of bio-objects. Metrological certification of the system established a conversion factor of k = 0.17 mm/pixel. It is shown that the system performance reaches 3,000–4,500 images per day using mid-range computing power, enabling high-precision dynamic monitoring of hundreds of exposure zones simultaneously. The results demonstrate high reproducibility and accuracy in measuring morphological parameters (mean leaf diameter for the test object: 10.23 mm with an area of 82.35 mm²), confirming the efficiency of the proposed circuitry and algorithmic solutions for biomedical technologies and remote biomonitoring systems.

The research findings are of significant importance for the design and implementation of automated hardware-software complexes for precision monitoring in biomedicine, space biology, and high-tech environmental control systems. The developed system significantly optimizes the primary experimental data collection process, reducing the time required to process daily data arrays from 2–3 hours (using manual mechanical tools) to 10–15 minutes in automated mode. Eliminating the human factor in the data collection process ensures high reliability and reproducibility of results when studying the long-term biological effects of physical fields. The proposed system architecture is easily integrated into modern IoT platforms to create predictive diagnostic systems, allowing for early detection of changes in the functional state of biological objects. The adaptability of the implemented HSV-space segmentation algorithms ensures the universal applicability of the complex for a wide range of plant test systems in various configurations of laboratory biophysical stands.

Chebotarev D.G., Chernyaev A.T., Naumov I.I., Ibadov R.R. Development of an optoelectronic system for non-invasive monitoring of morphometric parameters of biological objects in a controlled environment // Biomedicine Radioengineering. 2026. V. 29. № 4. P. 8–17. DOI: https:// doi.org/10.18127/ j15604136-202604-06

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