Integrated Study of Morphology and Viscoelastic Properties in the MG-63 Cancer Cell Line

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Authors: Guadalupe Vázquez-Cisneros, Daniel F. Zambrano-Gutierrez, Grecia C. Duque-Gimenez, Alejandro Flores-Mayorga, Diana Ginette Zárate-Triviño, Cristina Rodrı́guez-Padilla, Marco A. Bedolla, Jorge Luis Menchaca, Juan Gabriel Avina‐Cervantes, Maricela Rodríguez-Nieto
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References: 60

Abstract

Cell morphology and its mechanical properties are crucial factors in cancer development, affecting migration, invasiveness, and the potential risk of metastasis. However, most studies address these aspects separately, limiting the understanding of how morphological complexity relates to cellular mechanics. This work presents an integrated approach that simultaneously quantifies morphology and viscoelasticity in the human osteosarcoma cell line MG-63. Stress–relaxation experiments and optical imaging of the same cells were performed using a custom-built system that couples Atomic Force Microscopy (AFM) with an inverted optical microscope. Morphometric parameters were extracted from cell contours, while viscoelastic properties were obtained by fitting AFM data to the Fractional Kelvin (FK) and Fractional Zener (FZ) models. Among the morphological descriptors, the Shape Complexity (SC) was proposed. It is derived from the Lobe Contribution Elliptical Fourier Analysis (LOCO-EFA), which captures fine-scale contour features overlooked by conventional metrics. Experimental results show that, in MG-63 cells, higher SC values are associated with greater stiffness, indicating a correlation between cell shape complexity and cell stiffness. Furthermore, loading-rate analysis shows that the FZ model captures strain-rate-dependent stiffening more effectively than the FK model. This methodology provides a first approach to jointly analyzing quantitative morphological parameters and mechanical properties, underlining the importance of combined studies to achieve a comprehensive understanding of cell behavior.

Fields of Study & Subjects

Cellular Mechanics and Interactions Force Microscopy Techniques and Applications Cell Image Analysis Techniques

Publication details

Journal / source
Technologies
Volume
14
Issue
1
Pages
60–60
Publication date
14 January 2026
Language
EN