Robotic Cell Injection System With Position and Force Control: Toward Automatic Batch Biomanipulation

2009 ◽  
Vol 25 (3) ◽  
pp. 727-737 ◽  
Author(s):  
H.B. Huang ◽  
Dong Sun ◽  
J.K. Mills ◽  
Shuk Han Cheng
Keyword(s):  
Force Control ◽  
Injection System ◽  
Robotic Cell ◽  
Cell Injection ◽  
Automatic Batch

Design and Evaluation of a Piezo-Driven Ultrasonic Cell Injector

2012 ◽  
pp. 327-355
Author(s):  
Haibo Huang ◽  
Hao Su ◽  
Changhai Ru
Keyword(s):  
Cell Manipulation ◽  
Injection System ◽  
Cell Injection ◽  
Injection Speed ◽  
Injection Process ◽  
Automatic Batch ◽  
Mercury Column ◽  
Injection Technology ◽  
Injector Design ◽  
Suspended Cells

In this chapter, a novel piezo-driven cell injection system for automatic batch injection of suspended cells is presented; it has simplified operational procedure and better performance than the previous ones. Specifically, this new piezo-driven cell injector design has three aspects of merits: 1) by centralizing the piezo oscillation energy on the injector pipette, it eliminates the vibration amplitude of other parts of the micromanipulator; 2) meanwhile, a small piezo stack is sufficient to perform the cell injection process; and 3) detrimental lateral tip oscillations of the injector pipette are attenuated to satisfactory amount even without mercury column. The removal of mercury enables wide applications of this advanced cell injection technology in a number of cell manipulation scenarios. Furthermore, ultrasonic vibration micro-dissection (UVM) theory is utilized to analyze the piezo-driven cell injection process, and lateral oscillation of injector pipettes is investigated. Experiments on cell injection of a large amount of zebrafish embryos (n=300) indicate that the injector pipette is capable of piercing through cell membranes with low injection speed and almost no deformation of the cell wall, but with a high success rate.

Haptic Virtual Reality Training Environment for Micro-robotic Cell Injection

2015 ◽  
pp. 245-249 ◽  
Author(s):  
Syafizwan Faroque ◽  
Ben Horan ◽  
Husaini Adam ◽  
Mulyoto Pangestu ◽  
Samuel Thomas
Keyword(s):  
Virtual Reality ◽  
Virtual Reality Training ◽  
Robotic Cell ◽  
Training Environment ◽  
Cell Injection

Determining Necessary Parameters for Nanoinjector Electrodes During Attraction

2011 ◽  
Author(s):  
Nathan C. Toone ◽  
Brian D. Jensen
Keyword(s):  
Electric Field ◽  
Computer Model ◽  
Design Of Experiment ◽  
Ring Electrode ◽  
Injection System ◽  
Simple Design ◽  
Compact Ring ◽  
Cell Injection ◽  
Dna Motion

This paper outlines the adaptation of a mathematical computer model used to simulate the motion of DNA particles in order to determine the best geometry and setup for a prototype cell injection system. The model predicts DNA motion due to electrophoresis near micromachined electrodes. Ten key electrode parameters are identified to test for significance, and three key test measurements are identified to help compare the various setups. A simple design of experiment is used to organize and analyze the data collected from forty-one simulations of the DNA motion within the electric field. Based on the simulations of attracting DNA to the lance for injection, it is found that a compact ring electrode placed underneath an insulated lance will yield the optimal results. Two additional areas for research are recommended.

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