Literature DB >> 25501324

Three-dimensional cell manipulation and patterning using dielectrophoresis via a multi-layer scaffold structure.

H K Chu1, Z Huan, J K Mills, J Yang, D Sun.   

Abstract

Cell manipulation is imperative to the areas of cellular biology and tissue engineering, providing them a useful tool for patterning cells into cellular patterns for different analyses and applications. This paper presents a novel approach to perform three-dimensional (3D) cell manipulation and patterning with a multi-layer engineered scaffold. This scaffold structure employed dielectrophoresis as the non-contact mechanism to manipulate cells in the 3D domain. Through establishing electric fields via this multi-layer structure, the cells in the medium became polarized and were attracted towards the interior part of the structure, forming 3D cellular patterns. Experiments were conducted to evaluate the manipulation and the patterning processes with the proposed structure. Results show that with the presence of a voltage input, this multi-layer structure was capable of manipulating different types of biological cells examined through dielectrophoresis, enabling automatic cell patterning in the time-scale of minutes. The effects of the voltage input on the resultant cellular pattern were examined and discussed. Viability test was performed after the patterning operation and the results confirmed that majority of the cells remained viable. After 7 days of culture, 3D cellular patterns were observed through SEM. The results suggest that this scaffold and its automated dielectrophoresis-based patterning mechanism can be used to construct artificial tissues for various tissue engineering applications.

Mesh:

Year:  2015        PMID: 25501324     DOI: 10.1039/c4lc01247j

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  6 in total

1.  Multiscale Anisotropic Tissue Biofabrication via Bulk Acoustic Patterning of Cells and Functional Additives in Hybrid Bioinks.

Authors:  Parth Chansoria; Suleman Asif; Nithin Gupta; Jorge Piedrahita; Rohan A Shirwaiker
Journal:  Adv Healthc Mater       Date:  2022-01-27       Impact factor: 11.092

2.  Microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks.

Authors:  Thibault Honegger; Moritz I Thielen; Soheil Feizi; Neville E Sanjana; Joel Voldman
Journal:  Sci Rep       Date:  2016-06-22       Impact factor: 4.379

3.  Three-Dimensional Autofocusing Visual Feedback for Automated Rare Cells Sorting in Fluorescence Microscopy.

Authors:  Huaping Wang; Kailun Bai; Juan Cui; Qing Shi; Tao Sun; Qiang Huang; Paolo Dario; Toshio Fukuda
Journal:  Micromachines (Basel)       Date:  2019-08-27       Impact factor: 2.891

Review 4.  Lab-on-Chip Microsystems for Ex Vivo Network of Neurons Studies: A Review.

Authors:  Hongyong Zhang; Guoguang Rong; Sumin Bian; Mohamad Sawan
Journal:  Front Bioeng Biotechnol       Date:  2022-02-16

5.  Numerical Optimization and Map-Based Manipulation With a Quadrupole Electromagnetic Actuated System.

Authors:  Weicheng Ma; Zhijie Huan; Min Xu
Journal:  Front Neurorobot       Date:  2022-03-17       Impact factor: 2.650

6.  Dielectrophoresis-Based Method for Measuring the Multiangle Mechanical Properties of Biological Cells.

Authors:  Botao Zhu; Wanting Li; Mingjie Zhu; Po-Lin Hsu; Lining Sun; Hao Yang
Journal:  Biomed Res Int       Date:  2020-04-06       Impact factor: 3.411

  6 in total

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