Open AccessALGORITHMS FOR BEHAVIORAL ANALYSIS OF LABORATORY ANIMALS IN RADIOBIOLOGICAL RESEARCH
Author(s) -
Anna Stadnik,
O. Streltsova,
D. Podgayny,
Yu. V. Butenko,
K. N. Golikova,
Yu. Severiukhin,
Dina Utina,
A. Nartikov
Publication year - 2021
Publication title -
9th international conference "distributed computing and grid technologies in science and education"
Language(s) - English
Resource type - Conference proceedings
DOI - 10.54546/mlit.2021.65.91.001
Subject(s) - computer science , experimental data , artificial intelligence , field (mathematics) , machine learning , animal behavior , behavioral analysis , psychology , zoology , developmental psychology , statistics , mathematics , pure mathematics , biology
As part of the development of an information system for radiobiological research, an algorithmic unitfor analyzing video recordings of the behavior of laboratory animals to study the dependence onpathomorphological changes in the central nervous system after exposure to ionizing radiation andother factors. The analysis of data characterizing the behavioral responses of a laboratory animal basedon machine and deep learning algorithms and computer vision methods. To achieve the goal of fullyautomating the processing of data from behavioral experiments, it is necessary to develop severalgroups of algorithms: algorithms for automated marking of the field of an experimental setup,algorithms for tracking the position of a mouse in an experimental setup of various types, andalgorithms for assessing the characteristic behavioral patterns of an animal characterizing its emotionalstate. The paper proposes approaches and specific algorithms developed for use within the informationsystem for processing data from radiobiological research.