Displacement Talbot lithography nanopatterned microsieve array for directional neuronal network formation in brain-on-chip

被引:8
|
作者
Xie, Sijia [1 ]
Schurink, Bart [1 ]
Berenschot, Erwin J. W. [1 ]
Tiggelaar, Roald M. [1 ,2 ]
Gardeniers, Han J. G. E. [1 ]
Luttge, Regina [1 ,3 ,4 ]
机构
[1] Univ Twente, MESA Inst Nanotechnol, Mesoscale Chem Syst, NL-7500 AE Enschede, Netherlands
[2] Univ Twente, MESA Inst Nanotechnol, Nanolab Cleanroom, NL-7500 AE Enschede, Netherlands
[3] Eindhoven Univ Technol, Dept Mech Engn, Microsyst Grp, NL-5612 AZ Eindhoven, Netherlands
[4] Eindhoven Univ Technol, ICMS Inst Complex Mol Syst, NL-5612 AZ Eindhoven, Netherlands
来源
基金
欧洲研究理事会;
关键词
CELL-CULTURE; GROWTH;
D O I
10.1116/1.4961591
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Commercial microelectrode arrays (MEAs) for in vitro neuroelectrophysiology studies rely on conventional two dimensional (2D) neuronal cultures that are seeded on the planar surface of such MEAs and thus form a random neuronal network. The cells attaching on these types of surfaces grow in 2D and lose their native morphology, which may also influence their neuroelectrical behavior. Besides, a random neuronal network formed on this planar surface in vitro also lacks comparison to the in vivo state of brain tissue. In order to improve the present MEA platform with the above mentioned concerns, in this paper, the authors introduce a three dimensional platform for neuronal cell culturing, where a linear nanoscaffold is patterned on a microsieve array by displacement Talbot lithography (DTL) and reactive ion etching. Good pattern uniformity is achieved by the DTL method on the topographically prepatterned nonflat surface of the microsieve array. Primary cortical cells cultured on the nanopatterned microsieve array show an organized network due to the contact guidance provided by the nanoscaffold, presenting 47% of the total outgrowths aligning with the nanogrooves in the observed view of field. Hence, the authors state that this nanopatterned microsieve array can be further integrated into microsieve-based microelectrode arrays to realize an advanced Brain-on-Chip model that allows us to investigate the neurophysiology of cultured neuronal networks with specifically organized architectures. (C) 2016 Author(s).
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页数:7
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