Piezo-actuated parallel mechanism for biological cell release at high speed

Avci, Ebubekir; Hattori, Takayuki; Kamiyama, Kazuto; Kojima, Masaru; Horade, Mitsuhiro; Mae, Yasushi; Arai, Tatsuo

doi:10.1007/s10544-015-0001-7

Cited by 25 publications

(8 citation statements)

References 29 publications

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“…This system used an electrothermal actuated gripper to pick, and rapid movement to release the cells, overcoming adhesion forces by maximising inertia and contact area with the base of the substrate. Rapid movement allowing accurate release has also been demonstrated for 13 µm 3T3 mouse cells [43], where high frequency vibration of end effectors was used.…”

Section: Comparison To Existing Systemsmentioning

confidence: 99%

Micromanipulation System for Isolating a Single Cryptosporidium Oocyst

2019

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In this paper, an integrated system for contact micromanipulation of Cryptosporidium oocysts is presented. The system integrates five actuators and a partially automated control system and contacts the oocyst using a drawn glass end effector with tip dimensions of 1 μ m. The system is intended to allow single cell analysis (SCA) of Cryptosporidium—a very harmful parasite found in water supplies—by isolating the parasite oocyst of 5 μ m diameter in a new environment. By allowing this form of analysis, the source of Cryptosporidium can be found and potential harm to humans can be reduced. The system must overcome the challenges of locating the oocysts and end effector in 3D space and contact adhesion forces between them, which are prominent over inertial forces on this scale. An automated alignment method is presented, using the Prewitt operator to give feedback on the level of focus and this system is tested, demonstrating alignment accuracy of <2 μ m. Moreover, to overcome the challenge of adhesion forces, use of dry and liquid environments are investigated and a strategy is developed to capture the oocyst in the dry environment and release in the liquid environment. An experiment is conducted on the reliability of the system for isolating a Cryptosporidium oocyst from its culture, demonstrating a success rate of 98%.

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Section: Comparison To Existing Systemsmentioning

confidence: 99%

Micromanipulation System for Isolating a Single Cryptosporidium Oocyst

2019

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“…These methods reduce the adhesion force by using pressure changes (vacuum tools) [6], voltage control [7], and dynamic effects (vibration) [8]- [13]. Among existing methods for active release, dynamic effects, i.e., the release of microobjects from an end-effector by vibrating the end-effector to generate inertial force, has drawn much attention recently owing to its high success rate.…”

Section: Et Al Attached a 20mentioning

confidence: 99%

“…Using this parallel mechanism, 3D end-effector motion at high speed is feasible. Previous experiments using this mechanism from [8] focused on generating the necessary acceleration in order to release various sizes of micro-objects by changing frequencies with a fixed amplitude (1 μm) of the end-effector. However, this research places an emphasis on motions of the end-effector that can control placing positions after release.…”

Section: Et Al Attached a 20mentioning

confidence: 99%

High-Speed Active Release End-Effector Motions for Precise Positioning of Adhered Micro-Objects

Kim¹,

Kojima²,

Kamiyama³

et al. 2018

WJET

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This paper presents a release method for micro-objects. To improve position accuracy after release, we propose 3D high-speed end-effector motions. The classical release task focuses on the detachment of a micro-object from an end-effector. The technique utilizes merely the vibration of the end-effector regardless of the pattern of movement. To release different sizes of microobjects and place them precisely at the desired locations in both air and liquid media, in this paper, we propose high-speed motions by analyzing the adhesion force and movement of micro-objects after separation. To generate high end-effector acceleration, many researchers have applied simple vibration by using an additional actuator. However, in our research, 3D high-speed motion with apt amplitude is accomplished by using only a compact parallel mechanism. To verify the advantages of the proposed motion, we compare five motions, 1D motions (in X-, Y-, and Z-directions) and circular motions (clockwise and counterclockwise directions), by changing the frequency and amplitude of the end-effector. Experiments are conducted with different sizes of microbeads and NIH3T3 cells. From these experiments, we conclude that a counterclockwise circular motion can release the objects precisely in air, while 1D motion in the Y direction and two circular motions can detach the objects at the desired positions after release in a liquid environment.

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“…A piezoelectric actuator (PEA) is a transducer that converts electrical energy into a mechanical displacement or stress based on a piezoelectric effect, or vice versa [ 1 , 2 ]. Compared with traditional electromechanical systems, the PEA actuated nanopositioning system has primary advantages [ 3 , 4 , 5 ] including the large mass ratio, sub-nanometer resolution, high positioning accuracy, and fast response characteristic; hence, it is extensively applied in atomic force microscope [ 6 ], ultra-precision mechanical control [ 7 ], biological manipulation [ 8 ], and other related fields. Nevertheless, the dominant challenge of the PEA derives from the hysteresis nonlinearity, which impedes the nanopositioning systems from obtaining the fine property notably [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Neural Network Self-Tuning Control for a Piezoelectric Actuator

Zhang

Gao

et al. 2020

Sensors

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Piezoelectric actuators (PEA) have been widely used in the ultra-precision manufacturing fields. However, the hysteresis nonlinearity between the input voltage and the output displacement, which possesses the properties of rate dependency and multivalued mapping, seriously impedes the positioning accuracy of the PEA. This paper investigates a control methodology without the hysteresis model for PEA actuated nanopositioning systems, in which the inherent drawback generated by the hysteresis nonlinearity aggregates the control accuracy of the PEA. To address this problem, a neural network self-tuning control approach is proposed to realize the high accuracy tracking with respect to the system uncertainties and hysteresis nonlinearity of the PEA. First, the PEA is described as a nonlinear equation with two variables, which are unknown. Then, using the capabilities of super approximation and adaptive parameter adjustment, the neural network identifiers are used to approximate the two unknown variables automatically updated without any off-line identification, respectively. To verify the validity and effectiveness of the proposed control methodology, a series of experiments is executed on a commercial PEA product. The experimental results illustrate that the established neural network self-tuning control method is efficient in damping the hysteresis nonlinearity and enhancing the trajectory tracking property.

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Piezo-actuated parallel mechanism for biological cell release at high speed

Cited by 25 publications

References 29 publications

Micromanipulation System for Isolating a Single Cryptosporidium Oocyst

Micromanipulation System for Isolating a Single Cryptosporidium Oocyst

High-Speed Active Release End-Effector Motions for Precise Positioning of Adhered Micro-Objects

Neural Network Self-Tuning Control for a Piezoelectric Actuator

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