Image analysis of brain cortex cells in vitro using deep learning method
https://doi.org/10.29235/1561-8323-2023-67-4-315-321
Abstract
The article presents a method for analyzing images of cultured cortical cells for a quantitative analysis of the parameters of development of biological neural networks using machine learning approaches. We have developed software modules for segmentation of images into cells, clusters, and neurites using the neural network model and the deep learning method; a training set of images of cultivated neurons and corresponding segmentation masks have been generated. The results were validated by analyzing the development of cultivated neurons in vitro based on the length count of neutrites at different growth stages of the culture. The developed methods for monitoring the processes of formation of biological neuronal networks based on the analysis of the neuronal growth under different conditions and on different substrates provide an opportunity to monitor the processes of stem cell differentiation in the neurogenic direction. The results can be used in monitoring the formation of organoids in bioengineering applications, as well as in modeling the processes of nerve tissue regeneration.
About the Authors
A. A. Denisov
Institute of Physiology of the National Academy of Sciences of Belarus;
Belarusian State University
Belarus
Belarus
Denisov Andrey A. – Ph. D. (Biology), Head of the Laboratory
4, Nezavisimosti Ave., 220030, Minsk
A. V. Nikiforov
Institute of Physiology of the National Academy of Sciences of Belarus
Belarus
Belarus
Nikiforov Anton V. – Trainee Junior Researcher
Akademicheskaya Str., 220072, Minsk
A. V. Bahdanava
Institute of Physiology of the National Academy of Sciences of Belarus
Belarus
Belarus
Bahdanava Anastasiya V. – Junior Researcher
Akademicheskaya Str., 220072, Minsk
S. G. Pashkevich
Institute of Physiology of the National Academy of Sciences of Belarus
Belarus
Belarus
Pashkevich Svetlana G. – Ph. D. (Biology), Associate Professor, Head of the Laboratory
Akademicheskaya Str., 220072, Minsk
N. S. Serdyuchenko
Institute of Physiology of the National Academy of Sciences of Belarus
Belarus
Belarus
Serdyuchenko Nikolai S. – Corresponding Member, D. Sc. (Medicine), Professor
Akademicheskaya Str., 220072, Minsk
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