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Micromachines 2016, 7(6), 104; doi:10.3390/mi7060104

A Robot-Assisted Cell Manipulation System with an Adaptive Visual Servoing Method

1
School of Aerospace Engineering, Xiamen University, Xiamen 361005, China
2
Shenzhen Engineering Laboratory of Geometry Measurement Techinology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
3
Key Laboratory of Marine Biogenetic Resources, Third Institute of Oceanography, State Oceanic Administration, Xiamen 361005, China
*
Author to whom correspondence should be addressed.
Academic Editors: Aaron Ohta and Wenqi Hu
Received: 10 May 2016 / Revised: 6 June 2016 / Accepted: 15 June 2016 / Published: 20 June 2016
(This article belongs to the Special Issue Microdevices and Microsystems for Cell Manipulation)
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Abstract

Robot-assisted cell manipulation is gaining attention for its ability in providing high throughput and high precision cell manipulation for the biological industry. This paper presents a visual servo microrobotic system for cell microinjection. We investigated the automatic cell autofocus method that reduced the complexity of the system. Then, we produced an adaptive visual processing algorithm to detect the location of the cell and micropipette toward the uneven illumination problem. Fourteen microinjection experiments were conducted with zebrafish embryos. A 100% success rate was achieved either in autofocus or embryo detection, which verified the robustness of the proposed automatic cell manipulation system. View Full-Text
Keywords: cell manipulation; robotics; adaptive imaging processing; autofocusing cell manipulation; robotics; adaptive imaging processing; autofocusing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Xie, Y.; Zeng, F.; Xi, W.; Zhou, Y.; Liu, H.; Chen, M. A Robot-Assisted Cell Manipulation System with an Adaptive Visual Servoing Method. Micromachines 2016, 7, 104.

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