NDLI: Comparison of Deformation Analysis of a Biological Cell Under an Injection Force Using Analytical, Experimental and Finite Element Methods and Artificial Neural Network

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Sarvi, Masoud Nasiri Ahmadian, M. T.
Copyright Year	2011
Abstract	Biological cell injection is a sensitive and important work which is implemented in injection of foreign materials into individual cells. Microinjection is significantly developed in the field of drug discovery and genetics so predicting the behavior of cell in microinjection is remarkably important because a tiny excessive manipulation force can destroy the tissue of the biological cell. There are a few analytical methods available to simulate the cell injection, hence the numerical methods such as FEM are suitable to be used to model the microinjection. In this study, a new spherical super element is presented to model the biological cells and deformation of a specific cell under an external force is performed. The relationship between the injection force and the deformation of biological cell is demonstrated by using super element formulations. For validating the model, results are compared with findings of analytical and experimental methods and an Artificial Neural Network (ANN) model. The advantage of this element is that only a few super elements can predict the static behavior of biological cell in microinjection properly instead of implementing a large number of conventional elements, so using the super element to model the cell can decrease the run time with suitable accuracy.
Starting Page	499
Ending Page	507
Page Count	9
File Format	PDF
ISBN	9780791854884
DOI	10.1115/IMECE2011-63791
Volume Number	Volume 2: Biomedical and Biotechnology Engineering; Nanoengineering for Medicine and Biology
Conference Proceedings	ASME 2011 International Mechanical Engineering Congress and Exposition
Language	English
Publisher Date	2011-11-11
Publisher Place	Denver, Colorado, USA
Access Restriction	Subscribed
Subject Keyword	Finite element method Spherical super element Microinjection Biological cell Deformation Finite element methods Biological cells Artificial neural networks
Content Type	Text
Resource Type	Article

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