Exploring sperm cell motion dynamics: Insights from genetic algorithm-based analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F24%3A00377071" target="_blank" >RIV/68407700:21240/24:00377071 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.csbj.2024.06.008" target="_blank" >https://doi.org/10.1016/j.csbj.2024.06.008</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.csbj.2024.06.008" target="_blank" >10.1016/j.csbj.2024.06.008</a>
Alternative languages
Result language
angličtina
Original language name
Exploring sperm cell motion dynamics: Insights from genetic algorithm-based analysis
Original language description
Accurate analysis of sperm cell flagellar dynamics plays a crucial role in understanding sperm motility as flagella parameters determine cell behavior in the spatiotemporal domain. In this study, we introduce a novel approach by harnessing Genetic Algorithms (GA) to analyze sperm flagellar motion characteristics and compare the results with the traditional decomposition method based on Fourier analysis. Our analysis focuses on extracting key parameters of the equation approximating flagellar shape, including beating period time, bending amplitude, mean curvature, and wavelength. Additionally, we delve into the extraction of phase constants and initial swimming directions, vital for the comprehensive study of sperm cell pairs and bundling phenomena. One significant advantage of GA over Fourier analysis is its ability to integrate sperm cell motion data, enabling a more comprehensive analysis. In contrast, Fourier analysis neglects sperm cell motion by transitioning to a sperm-centered coordinate system (material system). In our comparative study, GA consistently outperform the Fourier analysis-based method, yielding a remarkable reduction in fitting error of up to 70% and on average by 45%. An in-depth exploration of the sperm cell motion becomes indispensable in a wide range of applications from complexities of reproductive biology and medicine, to developing soft flagellated microrobots.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computational and Structural Biotechnology Journal
ISSN
2001-0370
e-ISSN
2001-0370
Volume of the periodical
23
Issue of the periodical within the volume
December
Country of publishing house
AT - AUSTRIA
Number of pages
14
Pages from-to
2837-2850
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85198011610