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

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.

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Publication Details

Journal
Technologies
Published
2026-01-14
DOI
https://doi.org/10.3390/technologies14010060
Primary Topic
Cellular Mechanics and Interactions
Type
article
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article

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

Diana Ginette Zárate-Triviño, Maricela Rodríguez-Nieto, Daniel F. Zambrano-Gutierrez, Cristina Rodríguez-Padilla et al.
Technologies
Cellular Mechanics and Interactions
article

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

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

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.

TechnologiesVol. 14(1)
Universidad de Guanajuato (MX), Universidad Autónoma de Nuevo León (MX), Universidad Autónoma de Chiapas (MX), Secretaría de Ciencia, Humanidades, Tecnología e Innovación (MX), Tecnológico de Monterrey (MX)
Reduced inequalities
Openalex Percentile: Top 90%
Cellular Mechanics and Interactions
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