A method for monitoring cell population movement in microscopic video-sequences based on integral optical flow and motion maps is proposed. Through adjustment and calibration of the optical system and averaging consecutive frames, high-quality subsequent images are obtained. Short-term dynamic characteristics are determined by optical flow. Based on optical flow, integral optical flow is calculated and used to create motion maps, and these maps are used to analyze and describe motions in any region of interest. Therefore, different types of cell movements, including directional motion, aggregation and dispersion can be identified. The proposed method does not require training, it can be used for situation monitoring and analysis, or as a component of comprehensive systems. Experiments performed on synthesized and real microscopic video images demonstrate the effectiveness of this method.
Similar content being viewed by others
References
K. A. Tatke and N. Desai, Proc. 4th Int. Conf. Innovations in Information, Embedded and Communication Systems, March 17–18, 2017 (2017), pp. 1–7.
S. Huh, S. Eom, E. Ker, L. Weiss, and T. Kanade, Proc. 9th IEEE Int. Symp. Biomedical Imaging, May 2–5, 2012 (2012), pp. 390–393.
C. A. O. Toro, C. G. Martín, A. G. Pedrero, A. R. Gonzalez, and E. Menasalvas, Proc. 11th Int. Conf. Practical Applications of Computational Biology and Bioinformatics, June 21–23, 2017 (2017), pp. 137–145.
M. Saha, C. Chakraborty, and D. Racoceanu, Comput. Med. Imag. Graph., 64, 29–40 (2017).
A.-A. Liu, K. Li, and T. Kanade, Proc. IEEE Int. Symp. Biomed. Imaging, April 14–17, 2010 (2010), pp. 580–583.
M. Maška, O. Daněk, S. Garasa, A. Rouzaut, and A. Muñoz-Barrutia, IEEE Trans. Med. Imag., 32, No. 6, 995–1006 (2013).
R. Nathiya and G. Sivaradje, ARPN J. Eng. Appl. Sci., 10, No. 6, 2691–2696 (2015).
Y. Mao and Z. Yin, Proc. 19th Int. Conf. Med. Image Computing and Computer-Assisted Intervention, October 17–21, 2016 (2016), pp. 685–692.
W. Nie, H. Cheng, and Y. Su, IEEE Trans. Big Data, 3, No. 4, 458–469 (2017).
V. Kimbahune and N. Uke, Int. J. Eng. Sci. Technol., 3, No. 3, 2448–2453 (2011).
A. Mosig, S. Jäger, C. Wang, S. Nath, I. Ersoy, K. Palaniappan, and S. Chen, Algorithms Mo. Biol., 4 (2009); https://doi.org/10.1186/1748-7188-4-10.
B. Solmaz, B. Moore, and M. Shah, IEEE Trans. Pattern Anal. Machine Intel., 34, No. 10, 2064–2070 (2012).
B. Horn and B. Schunck, Determining Optical Flow, Artificial Intel., 17, Nos. 1–3, 185–203 (1981).
M. Tao, J. Bai, P. Kohli, and S. Paris, Comput. Graph. Forum, 31, No. 2, 345–353 (2012).
H. Chen, S. Ye, O. Nedzvedz, and S. Ablameyko, J. Appl. Spectrosc., 85, No. 1, 126–133 (2018).
H. Chen, S. Ye, O. Nedzvedz, S. Ablameyko, and Z. Bai, Pattern Recognit. Image Anal., 29, No. 1, 131–143 (2019).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Zhurnal Prikladnoi Spektroskopii, Vol. 87, No. 5, pp. 777–789, September–October, 2020.
Rights and permissions
About this article
Cite this article
Chen, H., Nedzvedz, O.V., Ye, S. et al. Сell Population Dynamics Monitoring in Video Based on Integral Optical Flow and Motion Maps. J Appl Spectrosc 87, 853–864 (2020). https://doi.org/10.1007/s10812-020-01081-4
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10812-020-01081-4