Development and Program Implementation of an Algorithm to Estimate the Mean Sarcomere Length of a Cardiomyocyte
- Authors: Myachina T.A.1,2, Butova K.A.1,2, Lookin O.N.1,2
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Affiliations:
- Institute of Immunology and Physiology, Ural Branch, Russian Academy of Sciences
- Ural Federal University
- Issue: Vol 64, No 5 (2019)
- Pages: 732-737
- Section: Cell Biophysics
- URL: https://journals.rcsi.science/0006-3509/article/view/153071
- DOI: https://doi.org/10.1134/S0006350919050178
- ID: 153071
Cite item
Abstract
Abstract—An adjustable algorithm was developed to determine the mean sarcomere length in isolated cardiomyocytes during their active contraction in unloaded or loaded conditions. The algorithm is based on the discrete Fourier transform (DFT) and includes an additional processing of the input signal, that is, the sarcomere striation pattern of the cardiomyocyte, and the amplitude-frequency spectral curve, which is obtained after performing the DFT to determine the sarcomere length with higher precision. The algorithm was shown to be efficient in analyzing the sarcomere striation pattern in isolated cardiac cells.
About the authors
T. A. Myachina
Institute of Immunology and Physiology, Ural Branch, Russian Academy of Sciences; Ural Federal University
Author for correspondence.
Email: myachina.93@mail.ru
Russian Federation, Yekaterinburg, 620002; Yekaterinburg, 620002
K. A. Butova
Institute of Immunology and Physiology, Ural Branch, Russian Academy of Sciences; Ural Federal University
Email: myachina.93@mail.ru
Russian Federation, Yekaterinburg, 620002; Yekaterinburg, 620002
O. N. Lookin
Institute of Immunology and Physiology, Ural Branch, Russian Academy of Sciences; Ural Federal University
Email: myachina.93@mail.ru
Russian Federation, Yekaterinburg, 620002; Yekaterinburg, 620002
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