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3D particle-based cell modelling for haptic microrobotic cell injection

Asgari, Marzieh, Ghanbari, Ali and Nahavandi, Saeid 2011, 3D particle-based cell modelling for haptic microrobotic cell injection, in ICMT 2011 : Proceedings of the 15th International Conference on Mechatronics Technology : Precision Mechatronics for Advanced Manufacturing, Service, and Medical Sectors, [ICMT], [Melbourne, Vic.], pp. 1-6.

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Title 3D particle-based cell modelling for haptic microrobotic cell injection
Author(s) Asgari, MarziehORCID iD for Asgari, Marzieh orcid.org/0000-0001-7183-7156
Ghanbari, Ali
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name International Conference on Mechatronics Technology (15th : 2011 : Melbourne, Vic.)
Conference location Melbourne, Vic.
Conference dates 30 Nov.-2 Dec. 2011
Title of proceedings ICMT 2011 : Proceedings of the 15th International Conference on Mechatronics Technology : Precision Mechatronics for Advanced Manufacturing, Service, and Medical Sectors
Editor(s) [Unknown]
Publication date 2011
Conference series International Conference on Mechatronics Technology
Start page 1
End page 6
Total pages 6
Publisher [ICMT]
Place of publication [Melbourne, Vic.]
Keyword(s) cell indentation force and deformation modeling
haptic cell microinjection
Summary Introducing haptic interface to conduct microrobotic intracellular injection has many beneficial implications. In particular, the haptic device provides force feedback to the bio-operator's hand. This paper introduces a 3D particle-based model to simulate the deformation of the cell membrane and corresponding cellular forces during microrobotic cell injection. The model is based on the kinematic and dynamic of spring – damper multi particle joints considering visco-elastic fluidic properties. It simulates the indentation force feedback as well as cell visual deformation during the microinjection. The model is verified using experimental data of zebrafish embryo microinjection. The results demonstrate that the developed cell model is capable of estimating zebrafish embryo deformation and force feedback accurately.
ISBN 9780732640187
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2011, International Conference on Mechatronics Technology
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30042214

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.