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

Mengdan Chen; Aisi Shi; Yong Ren; Yuhua Wang; Hongqin Yang

doi:10.1117/12.2501127

5 November 2018 Determination of the viscoelasticity of ovarian cancer cells using atomic force microscopy

Mengdan Chen, Aisi Shi, Yong Ren, Yuhua Wang, Hongqin Yang

Proceedings Volume 10816, Advanced Optical Imaging Technologies; 108161J (2018) https://doi.org/10.1117/12.2501127
Event: SPIE/COS Photonics Asia, 2018, Beijing, China

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.

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Mengdan Chen, Aisi Shi, Yong Ren, Yuhua Wang, and Hongqin Yang "Determination of the viscoelasticity of ovarian cancer cells using atomic force microscopy", Proc. SPIE 10816, Advanced Optical Imaging Technologies, 108161J (5 November 2018); https://doi.org/10.1117/12.2501127

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KEYWORDS

Ovarian cancer

Atomic force microscopy

Protactinium

Cancer

Data modeling

Solids

Scientific research

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