Non-contact force sensing for real-time stressing of biological cells

Mechanical force sensing is an important and integral component in the study of the viscoelastic properties of biological cells. In this study, a vision-based non-contact force sensing technique for real-time stressing of biological cells by a vision-guided robotic micromanipulation system is introduced. The system is capable of providing real-time external mechanical stressing on biological cells with a predefined profile and estimating the cell membrane deformation using the proposed cell strain model. One of the phenomena manifesting the viscoelastic properties of cells is the gradual reduction of reaction force in the compressive stress under cyclic loading. The applied force with respect to the cell membrane strain and the number of stressing cycles is modelled and validated by different zebrafish embryos. The experimental results show that the proposed force model can estimate the reaction force of cell membrane with the average maximum error of 10.07%.

[1]  Peter I. Corke,et al.  A tutorial on visual servo control , 1996, IEEE Trans. Robotics Autom..

[2]  Y L Zhang,et al.  Automatic control of mechanical forces acting on cell biomembranes using a vision‐guided microrobotic system in computer microscopy , 2009, Journal of microscopy.

[3]  Bernard Espiau,et al.  Effect of Camera Calibration Errors on Visual Servoing in Robotics , 1993, ISER.

[4]  Peter C. Y. Chen,et al.  A micromanipulation system with dynamic force-feedback for automatic batch microinjection , 2007 .

[5]  N Xi,et al.  Force measurement and mechanical characterization of living Drosophila embryos for human medical study , 2007, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[6]  Bradley J. Nelson,et al.  A bulk microfabricated multi-axis capacitive cellular force sensor using transverse comb drives , 2002 .

[7]  Dimitris P. Tsakiris,et al.  On the visual mathematics of tracking , 1991, Image Vis. Comput..

[8]  M. Sheetz,et al.  Local force and geometry sensing regulate cell functions , 2006, Nature Reviews Molecular Cell Biology.

[9]  Andreas R. Bausch,et al.  A bottom-up approach to cell mechanics , 2006 .

[10]  Michelle L. Oyen,et al.  Analytical techniques for indentation of viscoelastic materials , 2006 .

[11]  Xinyu Liu,et al.  Nanonewton Force Sensing and Control in Microrobotic Cell Manipulation , 2008, Int. J. Robotics Res..

[12]  J. Cronan Remarkable structural variation within fatty acid megasynthases , 2006, Nature chemical biology.

[13]  Yoram Lanir,et al.  Viscoelasticity and preconditioning of rat skin under uniaxial stretch: microstructural constitutive characterization. , 2009, Journal of biomechanical engineering.

[14]  Cheng Yap Shee,et al.  Vision based cell strain modeling and control system , 2010, 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[15]  C Zhu,et al.  Cell mechanics: mechanical response, cell adhesion, and molecular deformation. , 2000, Annual review of biomedical engineering.

[16]  Haibo Huang,et al.  Robotic Cell Injection System With Position and Force Control: Toward Automatic Batch Biomanipulation , 2009, IEEE Transactions on Robotics.

[17]  Bradley J. Nelson,et al.  Vision-based force measurement , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.