sevinПОВОЛЖСКИЙ ЭКОЛОГИЧЕСКИЙ ЖУРНАЛPovolzhskiy Journal of Ecology1684-73182541-8963Федеральное государственное бюджетное учреждение науки Институт проблем экологии и эволюции им. А. Н. Северцова РАН; Товарищество научных изданий КМК.10.35885/1684-7318-2023-3-301-313sevin-465Research ArticleСТАТЬИARTICLESОбработка видеоизображений Daphnia magna Straus (Cladocera, Crustacea) как основа автоматизированных методов биотестированияVideo image processing of Daphnia magna Straus (Cladocera, Crustacea) as a basis for automated biotesting methodshttps://orcid.org/0000-0002-5798-8211ОльковаА. С.OlkovaA. S.

610000, г. Киров, ул. Московская, д. 36

36 Moskovskaya St., Kirov 610000

usr08617@vyatsu.ruhttps://orcid.org/0000-0002-0677-1418МедведеваЕ. В.MedvedevaE. V.

610000, г. Киров, ул. Московская, д. 36

36 Moskovskaya St., Kirov 610000

Вятский государственный университетРоссияVyatka State UniversityRussian Federation20230310202303301313Copyright © Олькова А.С., Медведева Е.В., 20232023Олькова А.С., Медведева Е.В.Olkova A.S., Medvedeva E.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://sevin.elpub.ru/jour/article/view/465

Компьютерная обработка видеоряда с тест-организмами является перспективным направлением развития биотестирования, так как значительно увеличивается пропускная способность методов в единицу времени и одновременно учитывается несколько тестреакций. Цель работы – разработка и апробация автоматизированного способа учёта комплекса тест-функций D. magna для дальнейшей оценки токсичности водных сред. Видео с D. magna обрабатывали средствами языка программирования Python с применением библиотеки компьютерного зрения OpenCV. Разработанный программный алгоритм позволяет обнаруживать особей D. magna разного возраста, определять их линейные размеры, скорости и ускорения. Такой функционал, применённый к модельным группам D. magna, позволяет оценивать острую токсичность (по летальным и сублетальным эффектам) и хроническую токсичность проб (по количеству родившейся молоди и её физиологическим реакциям). 

Computer processing of a video sequence with test organisms is a promising direction in the development of biotesting, as the throughput of methods per unit time increases significantly and several test reactions are taken into account simultaneously. The aim of the work is to develop and test an automated method for considering a complex of D. magna test functions for further assessment of the toxicity of aquatic environments. Videos with D. magna were processed using the Python programming language and the OpenCV computer vision library. The developed algorithm makes it possible to detect D. magna individuals of different ages, to determine their linear dimensions, velocities and accelerations. This functionality, applied to model groups of D. magna, makes it possible to assess the acute toxicity (by lethal and sublethal effects) and chronic toxicity of samples (by the number of juveniles born and their physiological reactions). 

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The authors declare that there are no conflicts of interest present.