Cell rotation using optoelectronic tweezers

Liang, Yuan-Li; Huang, Yuan Pin; Lu, Yi; Hou, Max Ti-Kuang; Yeh, J. Andrew

doi:10.1063/1.3496357

Cited by 40 publications

(18 citation statements)

References 11 publications

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“…Recently, Liang et al, reported that both yeast cells and Ramos (lymphoma) cells underwent the translation and rotation motions simultaneously from the dark areas to the illuminated areas in an OET chip. 36 However, this rotation was performed in a rotational AC electric field. Our team has discovered that only specific types of cells (i.e., Melan-a cells, lymphocytes, and white blood cells) can self-rotate in an OET chip with a non-rotating AC electric field due to the physical properties of cells, such as the uneven distribution of mass within the rotating cells.…”

Section: Introductionmentioning

confidence: 99%

Distinctive translational and self-rotational motion of lymphoma cells in an optically induced non-rotational alternating current electric field

et al. 2015

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In this paper, the translational motion and self-rotational behaviors of the Raji cells, a type of B-cell lymphoma cell, in an optically induced, non-rotational, electric field have been characterized by utilizing a digitally programmable and optically activated microfluidics chip with the assistance of an externally applied AC bias potential. The crossover frequency spectrum of the Raji cells was studied by observing the different linear translation responses of these cells to the positive and negative optically induced dielectrophoresis force generated by a projected light pattern. This digitally projected spot served as the virtual electrode to generate an axisymmetric and non-uniform electric field. Then, the membrane capacitance of the Raji cells could be directly measured. Furthermore, Raji cells under this condition also exhibited a self-rotation behavior. The repeatable and controlled self-rotation speeds of the Raji cells to the externally applied frequency and voltage were systematically investigated and characterized via computer-vision algorithms. The self-rotational speed of the Raji cells reached a maximum value at 60 kHz and demonstrated a quadratic relationship with respect to the applied voltage. Furthermore, optically projected patterns of four orthogonal electrodes were also employed as the virtual electrodes to manipulate the Raji cells. These results demonstrated that Raji cells located at the center of the four electrode pattern could not be self-rotated. Instead any Raji cells that deviated from this center area would also self-rotate. Most importantly, the Raji cells did not exhibit the self-rotational behavior after translating and rotating with respect to the center of any two adjacent electrodes. The spatial distributions of the electric field generated by the optically projected spot and the pattern of four electrodes were also modeled using a finite element numerical simulation. These simulations validated that the electric field distributions were non-uniform and non-rotational. Hence, the non-uniform electric field must play a key role in the self-rotation of the Raji cells. As a whole, this study elucidates an optoelectric-coupled microfluidics-based mechanism for cellular translation and self-rotation that can be used to extract the dielectric properties of the cells without using conventional metal-based microelectrodes. This technique may provide a simpler method for label-free identification of cancerous cells with many associated clinical applications.

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Section: Introductionmentioning

confidence: 99%

Distinctive translational and self-rotational motion of lymphoma cells in an optically induced non-rotational alternating current electric field

et al. 2015

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“…As shown in Figure 3, the boundary condition for calculating the variation of e-field distribution within time domain (Figure 3a), the time-averaged e-field ( Figure 3b) and the micro flow pattern (Figure 3c) are presented. It is assumed that no current flows across the boundary between the illuminated and unilluminated regions in the a-Si:H layer because the impedance of conjunction is very large [22].The upper surface of EDL1 was set as bottom boundary surface of the computation domain for calculating the term Rerpϕ´ϕ s qp´E t˚q s in Equation (10). The EDL1 in the light and dark area was modeled by the boundary condition σ m Bϕ{Bz "`ϕ´V 0 e jpωt`ψ i q˘{ pR`jXq (it can also be equivalently expressed by another mathematical form of distributed impedance in COMSOL program), where σ m is the electrical conductivity of the bulk medium, ϕ is the potential phasor needing to be solved at the bottom boundary of fluidic chamber.…”

Section: Simulation and Analysis Of Electric Field And Flow Patternmentioning

confidence: 99%

Manipulation of Self-Assembled Microparticle Chains by Electroosmotic Flow Assisted Electrorotation in an Optoelectronic Device

Zhu¹

2015

Micromachines

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A method incorporating the optically induced electrorotation (OER) and alternating current electroosmotic (ACEO) effects, for the formation and motion control of microparticle chains, is numerically and experimentally demonstrated. In this method, both the rotating electric field and ACEO fluid roll are generated around the border between light and dark area of the fluidic chamber in an optoelectronic tweezers (OET) device. The experimental results show that the particle chains can self-rotate in their pitch axes under the rotating electric field produced due to the different impedances of the photoconductive layer in light and dark areas, and have a peak self-rotating rate at around 1 MHz. The orbital movement of entire particle chain around the center of ACEO fluid roll can be achieved from 0.5 to 600 kHz. The strength of OER motion and ACEO-caused orbital movement of particle chains can be adjusted by changing the frequency of alternating current (AC) voltage. This non-contact method has the potential for spatially regulating the posture, orientation and position of microparticle chains.

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“…Optical tweezers use a focused laser beam to manipulate microscopic objects and are capable of orienting single cells [14]- [18]. However, the optical tweezers technique is limited to rotating a cell about one axis [19].…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Rotation of Mouse Embryos

Leung

Lü

Zhang

et al. 2012

IEEE Trans. Biomed. Eng.

104

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Abstract-Research and clinical applications, such as microinjection and polar-body biopsy involve 3-D rotation of mammalian oocytes/embryos. In these cell manipulation tasks, the polar body of an embryo/oocyte must be made visible and properly oriented under optical microscopy. Cell rotation in conventional manual operation by skilled professionals is based on trial and error, such as through repeated vacuum aspiration and release. The randomness of this manual procedure, its poor reproducibility, and inconsistency across operators entail a systematic technique for automated, noninvasive, 3-D rotational control of single cells. This paper reports a system that tracks the polar body of mouse embryos in real time and controls multiple motion control devices to conduct automated 3-D rotational control of mouse embryos. Experimental results demonstrated the system's capability for polar-body orientation with a high success rate of 90%, an accuracy of 1.9• , and an average speed of 22.8 s/cell (versus averagely 40 s/cell in manual operation).

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Cell rotation using optoelectronic tweezers

Cited by 40 publications

References 11 publications

Distinctive translational and self-rotational motion of lymphoma cells in an optically induced non-rotational alternating current electric field

Distinctive translational and self-rotational motion of lymphoma cells in an optically induced non-rotational alternating current electric field

Manipulation of Self-Assembled Microparticle Chains by Electroosmotic Flow Assisted Electrorotation in an Optoelectronic Device

Three-Dimensional Rotation of Mouse Embryos

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