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Proceedings Paper

Determination of the viscoelasticity of ovarian cancer cells using atomic force microscopy
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Paper Abstract

Ovarian cancer has become one of the most common malignant tumors threatening female genital health. Recently, biomechanical properties of single cell have been reported as a potential index for early cancer detection. In this study, the viscoelastic properties of ovarian cancer cells were determined using stress-relaxation approach by atomic force microscopy (AFM). Individual force-time curves were recorded at maximum loads of 0.5, 1 and 2 nN, and the stressrelaxation time was 2 s for all the stress-relaxation measurements. A theoretical method of stress relaxation was proposed and the viscoelasticity of the cells was obtained according to a linear solid model. The results showed that the values of average viscosity of ovarian cancer cells were respectively 54.0±6.5 Pa-s, 100.5±13.2 Pa-s and 113.6±13.2 Pa-s using the three different loading forces from 0.5 nN to 2 nN. Furthermore, the values of average elasticity modulus were respectively 657.0±69.9 Pa, 730.9±67.0 Pa, 895.0±71.3 Pa. In conclusion, the viscoelasticity properties of the cells increased as the loading force increased from 0.5 nN to 2 nN. Our study indicates that the viscoelasticity of the ovarian cancer cells can be acquired by stress-relaxation approach and the loading force is an important factor that can affect the cellular viscoelasticity. It will shed new light on cancer early detection based on cellular viscoelasticity index at single cell level.

Paper Details

Date Published: 5 November 2018
PDF: 8 pages
Proc. SPIE 10816, Advanced Optical Imaging Technologies, 108161J (5 November 2018); doi: 10.1117/12.2501127
Show Author Affiliations
Mengdan Chen, Fujian Normal Univ. (China)
Aisi Shi, Fujian Normal Univ. (China)
Yong Ren, Fujian Normal Univ. (China)
Yuhua Wang, Fujian Normal Univ. (China)
Hongqin Yang, Fujian Normal Univ. (China)


Published in SPIE Proceedings Vol. 10816:
Advanced Optical Imaging Technologies
Xiao-Cong Yuan; Kebin Shi; Michael G. Somekh, Editor(s)

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