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Mathematical Modelling for Automatic Cell Contractions Detection and Their Directions in Artificially Grown Human Cardiomyocytes

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Computer Information Systems and Industrial Management (CISIM 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14902))

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Abstract

Mathematical models can be used in diversified problems. They are consumed for precise simulations (e.g., in digital twins) but also can be aligned with slightly different ideas - for example to predict directions and movements of the objects in videos or for pose estimation. In this work, the authors presented their own approach for evaluation of direction and the moment of contraction in artificially grown human cardiomyocytes (2D models based on microscopic images). Observation of these two parameters (and their variability) is especially important in the case of cardiomyocyte behavior analysis after application of new medication (it needs to be done real-time and analysis has to be performed constantly to detect the potentially dangerous changes). During the experiments the authors consumed their own dataset (50 videos, each no shorter than 25 s collected by Institute of Human Genetics, Polish Academy of Science - prof Tomasz Kolanowski Team) and used not only mathematical modelling but also image processing and analysis to obtain needed information. The results have shown that the proposed processing and analysis pipelines are precise and fast and can be practically used in real medical environment.

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Acknowledgements

The authors of that work are thankful to Professor Tomasz Kolanowski from Institute of Human Genetics, Polish Academy of Science and his Team for continuous support, access to the database, discussion of the results and important remarks. Without joint work with Professor and his Team, the authors will not be able to obtain the outcomes described in that paper.

This work was financially supported, partly by Białystok University of Technology under the grant W/WI/4/2022 and partly by Łukasiewicz Research Network - Poznań Institute of Technology under the grant S-6410-0-2024 and funded with resources for research by Ministry of Science and Higher Education in Poland.

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Authors and Affiliations

  1. Białystok University of Technology, Faculty of Computer Science, Wiejska 45A, 15-351, Białystok, Poland

    Maciej Szymkowski

  2. Łukasiewicz Research Network - Poznań Institute of Technology, Ewarysta Estkowskiego 6, 61-755, Poznań, Poland

    Jakub Goła̧b, Kacper Perz & Bartosz Jura

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  1. Maciej Szymkowski
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  2. Jakub Goła̧b
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  3. Kacper Perz
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  4. Bartosz Jura
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Correspondence to Maciej Szymkowski .

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Editors and Affiliations

  1. Bialystok University of Technology, Białystok, Poland

    Khalid Saeed

  2. VSB - Technical University of Ostrava, Ostrava, Czech Republic

    Jiří Dvorský

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Szymkowski, M., Goła̧b, J., Perz, K., Jura, B. (2024). Mathematical Modelling for Automatic Cell Contractions Detection and Their Directions in Artificially Grown Human Cardiomyocytes. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2024. Lecture Notes in Computer Science, vol 14902. Springer, Cham. https://doi.org/10.1007/978-3-031-71115-2_30

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  • DOI: https://doi.org/10.1007/978-3-031-71115-2_30

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