Robotic cell manipulation with optical tweezers for biomechanical characterization

Youhua Tan; Dong Sun; Shuk Han Cheng; Ronald A. Li

doi:10.1109/ICRA.2011.5979577

Robotic cell manipulation with optical tweezers for biomechanical characterization

Youhua Tan, Dong Sun, Shuk Han Cheng, Ronald A. Li

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

7 Citations (Scopus)

Abstract

In this paper, we demonstrate the effectiveness of robotic cell stretching with optical tweezers for biomechanical characterization. Optical traps serve as end-effectors to manipulate micro-beads attached to the cell surface. The dynamics of the cell-bead mixture during cell stretching is investigated for the first time. Based on our previous work, cell stiffness is extracted and biomechanical properties of cells can be characterized. Our study shows that the modeling results agree with the experimental data. Further, the area compressibility moduli of two types of cells, human embryonic stem cells (hESC) and hESC-derived cardiomyocytes (hESC-CM), are characterized. The results indicate that undifferentiated stem cells are much softer than differentiated ones, which provides an important insight into the cell mechanics during hESC differentiation. In summary, this paper successfully demonstrates that the robot-tweezer system can manipulate biological cells effectively to characterize biomechanical properties of living cells.

Original language	English
Title of host publication	2011 IEEE International Conference on Robotics and Automation, ICRA 2011
Pages	4104-4109
Number of pages	6
DOIs	https://doi.org/10.1109/ICRA.2011.5979577
Publication status	Published - 1 Dec 2011
Externally published	Yes
Event	2011 IEEE International Conference on Robotics and Automation, ICRA 2011 - Shanghai, China Duration: 9 May 2011 → 13 May 2011

Conference

Conference	2011 IEEE International Conference on Robotics and Automation, ICRA 2011
Country/Territory	China
City	Shanghai
Period	9/05/11 → 13/05/11

ASJC Scopus subject areas

Software
Artificial Intelligence
Control and Systems Engineering
Electrical and Electronic Engineering

More information

10.1109/ICRA.2011.5979577

Cite this

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title = "Robotic cell manipulation with optical tweezers for biomechanical characterization",

abstract = "In this paper, we demonstrate the effectiveness of robotic cell stretching with optical tweezers for biomechanical characterization. Optical traps serve as end-effectors to manipulate micro-beads attached to the cell surface. The dynamics of the cell-bead mixture during cell stretching is investigated for the first time. Based on our previous work, cell stiffness is extracted and biomechanical properties of cells can be characterized. Our study shows that the modeling results agree with the experimental data. Further, the area compressibility moduli of two types of cells, human embryonic stem cells (hESC) and hESC-derived cardiomyocytes (hESC-CM), are characterized. The results indicate that undifferentiated stem cells are much softer than differentiated ones, which provides an important insight into the cell mechanics during hESC differentiation. In summary, this paper successfully demonstrates that the robot-tweezer system can manipulate biological cells effectively to characterize biomechanical properties of living cells.",

author = "Youhua Tan and Dong Sun and Cheng, {Shuk Han} and Li, {Ronald A.}",

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Robotic cell manipulation with optical tweezers for biomechanical characterization. / Tan, Youhua; Sun, Dong; Cheng, Shuk Han; Li, Ronald A.

2011 IEEE International Conference on Robotics and Automation, ICRA 2011. 2011. p. 4104-4109 5979577.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Tan, Youhua

AU - Sun, Dong

AU - Cheng, Shuk Han

AU - Li, Ronald A.

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N2 - In this paper, we demonstrate the effectiveness of robotic cell stretching with optical tweezers for biomechanical characterization. Optical traps serve as end-effectors to manipulate micro-beads attached to the cell surface. The dynamics of the cell-bead mixture during cell stretching is investigated for the first time. Based on our previous work, cell stiffness is extracted and biomechanical properties of cells can be characterized. Our study shows that the modeling results agree with the experimental data. Further, the area compressibility moduli of two types of cells, human embryonic stem cells (hESC) and hESC-derived cardiomyocytes (hESC-CM), are characterized. The results indicate that undifferentiated stem cells are much softer than differentiated ones, which provides an important insight into the cell mechanics during hESC differentiation. In summary, this paper successfully demonstrates that the robot-tweezer system can manipulate biological cells effectively to characterize biomechanical properties of living cells.

AB - In this paper, we demonstrate the effectiveness of robotic cell stretching with optical tweezers for biomechanical characterization. Optical traps serve as end-effectors to manipulate micro-beads attached to the cell surface. The dynamics of the cell-bead mixture during cell stretching is investigated for the first time. Based on our previous work, cell stiffness is extracted and biomechanical properties of cells can be characterized. Our study shows that the modeling results agree with the experimental data. Further, the area compressibility moduli of two types of cells, human embryonic stem cells (hESC) and hESC-derived cardiomyocytes (hESC-CM), are characterized. The results indicate that undifferentiated stem cells are much softer than differentiated ones, which provides an important insight into the cell mechanics during hESC differentiation. In summary, this paper successfully demonstrates that the robot-tweezer system can manipulate biological cells effectively to characterize biomechanical properties of living cells.

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Robotic cell manipulation with optical tweezers for biomechanical characterization

Abstract

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ASJC Scopus subject areas

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