A new method for automating the investigation of stem cell populations based on the analysis of the integral optical flow of a video sequence
- Авторы: Nedzvedz O.V.1,2, Ablameyko S.V.3, Gurevich I.B.4, Yashina V.V.4
-
Учреждения:
- Belarusian State Medical University
- United Institute of Informatics Problems
- Belarusian State University
- Federal Research Center “Computer Science and Control,”
- Выпуск: Том 27, № 3 (2017)
- Страницы: 599-609
- Раздел: Applied Problems
- URL: https://journals.rcsi.science/1054-6618/article/view/195177
- DOI: https://doi.org/10.1134/S1054661817030221
- ID: 195177
Цитировать
Аннотация
A new method is presented for automating the investigation of stem cell populations based on the automatic analysis of video sequences of images. For automatic image analysis, an integral optical flow apparatus is used. The proposed method classifies dynamic objects by constructing a pyramid of the integral optical flow. The main stages of the method are as follows: image capturing and processing, segmentation, measurement, and tissue description generation. Experimental tests confirm that the proposed method is capable of identifying the main stages of cellular development (mitosis, differentiation, and apoptosis).
Об авторах
O. Nedzvedz
Belarusian State Medical University; United Institute of Informatics Problems
Автор, ответственный за переписку.
Email: Olga_Nedzved@tut.by
Белоруссия, pr. Dzerzhinskogo 83, Minsk; ul. Surganova 6, Minsk
S. Ablameyko
Belarusian State University
Email: Olga_Nedzved@tut.by
Белоруссия, pr. Nezavisimosti 4, Minsk
I. Gurevich
Federal Research Center “Computer Science and Control,”
Email: Olga_Nedzved@tut.by
Россия, 44, Building 2, Vavilov str., Moscow, 119333
V. Yashina
Federal Research Center “Computer Science and Control,”
Email: Olga_Nedzved@tut.by
Россия, 44, Building 2, Vavilov str., Moscow, 119333
Дополнительные файлы
