Hydrodynamic Impact to the Cell Stress during Single Cell Recovery

Anas Mohd Noor, Ahmad Nasrul Norali, Zulkarnay Zakaria, Aishah Mohd Noor, Hairulazwan Hashim


Cell overstressed in single-cell recovery process leads to cell mortality during the isolation process. A glass capillaries micropipette can be useful as a tool for picking up cell based on the positive displacement picking up method. However, when a negative pressure applies to the micropipette glass for picking a cell, it produces hydrodynamic pressure to the cell medium. This pressure condition, which proportional to the stress of the cell during the recovery process. In this work, we present a numerical analysis of shear stress on cell cytoplasm. Parameters such as micropipette diameter size, micropipette tip distance to the target cell, and negative pressure impact to the cell are analyzed. As a result, shear stress of cell cytoplasm increased by a short distance of cell to the micropipette tip during the initial picking up process. However, during the cell flowing inside the micropipette, the shear stress produced to the cell has no difference to the micropipette diameter. Therefore, this study could provide a benefit understanding of cell stress phenomena for many types of cells in single-cell recovery application by proper selection of micropipette diameter, suction pressure and the minimal cell distance to during the recovery process.


Cell stress; Hydrodynamic impact; Micropipette manipulation; Shear stress; Single cell recovery.

Article Metrics

Abstract view : 10 times
PDF - 13 times

Full Text:



J. R. Heath, A. Ribas and P. S. Mischel, Single-cell analysis tools for drug discovery and development, National Reviews Drug Discovery, 15(3), 204–216, 2016.

A. Gross, J. Schoendube, S. Zimmermann, M. Steeb, R. Zengerle and P. Koltay, Technologies for Single-Cell Isolation, International Journal of Molecular Sciences, 16(8), 16897–16919, 2015.

S. Pandey, N. Mehendale and D. Paul, Single-cell separation in Handbook Single Cell Technologies, T. S. Santra and F. G. Tseng, Eds, Singapore: Springer Nature, 2018, pp. 1–28.

P. Sajeesh, and Ashis Kumar Sen, Particle separation and sorting in microfluidic devices: a review, Microfluidics and Nanofluidics, 17(1), 1-52, 2014.

Shields IV, C. Wyatt, C. D. Reyes and G. P. López, Microfluidic cell sorting: a review of the advances in the separation of cells from debulking to rare cell isolation, Lab on a Chip, 15(5), 1230-1249, 2015.

B. González-Bermúdez, G. V. Guinea and G. R. Plaza, Advances in micropipette aspiration: Applications in cell biomechanics, models, and extended studies, Biophysical Journal, 116(4), 587–594, 2019.

T. Masuda, W. Song, H. Nakanishi, W. Lei, A. M. Noor and F. Arai, Rare cell isolation and recovery on open-channel microfluidic chip, PloS One, 12(4), e0174937, 2017.

R. Salánki, C. Hős, N. Orgovan, B. Péter, N. Sándor, Z. Bajtay, A. Erdei, R. Horvath and B. Szabó, Single cell adhesion assay using computer controlled micropipette, PloS One, 9(10), e111450, 2014.

Z. Környei, S. Beke, T. Mihálffy, M. Jelitai, K. J. Kovács, Z. Szabó, and B. Szabó, Cell sorting in a Petri dish controlled by computer vision, Scientific reports 3, 1088, 2013.

S. Nagrath, L. V. Sequist, S. Maheswaran, D. W. Bell, D. Irimia, L. Ulkus, M. R. Smith, E. L. Kwak, S. Digumarthy, A. Muzikansky and P. Ryan, Isolation of rare circulating tumour cells in cancer patients by microchip technology, Nature, 450, 35-1239, 2007.

Z. Lu, C. Moraes, Z. Yan, D. Y. Li, C. A. Simmons and S. Yu, A micromanipulation system for single cell deposition, Procedings of 2010 IEEE International Conference on Robotics and Automation (ICRA), Alaska, 2010, pp. 494-499.

Anis, H. Yasser, M. R. Holl and D. R. Meldrum, Automated selection and placement of single cells using vision-based feedback control, IEEE Transactions on Automation Science and Engineering, 7(3), 598-606, 2010.

Heinrich, Volkmar and Wieslawa Rawicz, Automated, high-resolution micropipet aspiration reveals new insight into the physical properties of fluid membranes, Langmuir, 21(5), 1962-1971, 2005.

K. Hashimoto, A review on vision-based control of robot manipulators, Advanced Robotics, 17(10), 969-991, 2003.

W. H. Wang, X. Y. Liu and Y. Sun, Contact detection in microrobotic manipulation, The International Journal of Robotics Research, 26(8), 821-828, 2007.

Z. Lu, M. Christopher, G. Ye, C. A. Simmons and S. Yu, Single cell deposition and patterning with a robotic system, PloS One, 5(10), e13542, 2010.

C. Pozrikidis, Fluid Dynamics: Theory, Computation, and Numerical Simulation, Berlin: Springer, 2009.

Y. J. Lee, D. Patel and S. Park, Local rheology of human neutrophils investigated using atomic force microscopy, International Journal of Biological Sciences, 7(1), 102–111, 2011.

W. Li, Numerical simulation of fluid-structure interaction method on dynamic movement of leukocyte in flow chamber, Advances in Pure Mathematics, 3(9), 692–697, 2013.


  • There are currently no refbacks.