Viscoelastic characterization of the human osteosarcoma cancer cell line MG-63 using a fractional-order zener model through automated algorithm design and configuration

Understanding the viscoelastic properties of cells is essential for studying their mechanical behavior and identifying disease-related biomechanical markers. This paper proposes an integrated framework that combines fractional modeling with automated algorithm design to fit force-relaxation data acq...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 31436 - 25
Main Authors:	Duque-Gimenez, Grecia C., Zambrano-Gutierrez, Daniel F., Rodriguez-Nieto, Maricela, Menchaca, Jorge Luis, Cruz-Duarte, Jorge M., Zárate-Triviño, Diana G., Avina-Cervantes, Juan Gabriel, Ortiz-Bayliss, José Carlos
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 26.08.2025 Nature Publishing Group Nature Portfolio
Subjects:	639/166/985 639/705/117 Algorithms Atomic force microscopy Automation Biomechanical Phenomena Biomechanics Bone cancer Calculus Cell Line, Tumor Cells Coefficient of variation Design Elasticity Fractional-order zener model Heuristic Humanities and Social Sciences Humans Hyper-heuristic Laplace transforms Mechanical properties Metaheuristic Microscopy, Atomic Force multidisciplinary Optimization Osteosarcoma Osteosarcoma - pathology Parameter estimation Physiology Science Science (multidisciplinary) Statistical analysis Viscoelasticity Viscosity Viscoelasticity Atomic force microscopy Metaheuristic Fractional-order zener model Automated algorithm design Cells Hyper-heuristic
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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