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3D-Printed Soft Lithography for Complex Compartmentalized Microfluidic Neural Devices
3D-Printed Soft Lithography for Complex Compartmentalized Microfluidic Neural Devices
- Source :
- Kajtez, J, Buchmann, S, Vasudevan, S, Birtele, M, Rocchetti, S, Pless, C J, Heiskanen, A, Barker, R A, Martínez-Serrano, A, Parmar, M, Lind, J U & Emnéus, J 2020, ' 3D-Printed Soft Lithography for Complex Compartmentalized Microfluidic Neural Devices ', Advanced Science, vol. 7, no. 16, 2001150 . https://doi.org/10.1002/advs.202001150, Advanced Science, Advanced Science, Vol 7, Iss 16, Pp n/a-n/a (2020), Advanced Science, Vol 8, Iss 12, Pp n/a-n/a (2021), Digital.CSIC. Repositorio Institucional del CSIC, instname
- Publication Year :
- 2020
-
Abstract
- Compartmentalized microfluidic platforms are an invaluable tool in neuroscience research. However, harnessing the full potential of this technology remains hindered by the lack of a simple fabrication approach for the creation of intricate device architectures with high‐aspect ratio features. Here, a hybrid additive manufacturing approach is presented for the fabrication of open‐well compartmentalized neural devices that provides larger freedom of device design, removes the need for manual postprocessing, and allows an increase in the biocompatibility of the system. Suitability of the method for multimaterial integration allows to tailor the device architecture for the long‐term maintenance of healthy human stem‐cell derived neurons and astrocytes, spanning at least 40 days. Leveraging fast‐prototyping capabilities at both micro and macroscale, a proof‐of‐principle human in vitro model of the nigrostriatal pathway is created. By presenting a route for novel materials and unique architectures in microfluidic systems, the method provides new possibilities in biological research beyond neuroscience applications.<br />In this study, a hybrid additive manufacturing approach to soft lithography is developed for the fabrication of open‐well compartmentalized microfluidic devices used to engineer human stem‐cell derived neural networks in vitro. The approach provides larger freedom of design, removes the need for manual postprocessing, increases the biocompatibility of the system, and enables fast prototyping at the micro and macroscale.
- Subjects :
- 3d printed
fast prototyping
Computer science
General Chemical Engineering
Science
Human neural stem cells
Microfluidics
neurite guidance
General Physics and Astronomy
Medicine (miscellaneous)
3D printing
soft lithography
Nanotechnology
02 engineering and technology
010402 general chemistry
01 natural sciences
Biochemistry, Genetics and Molecular Biology (miscellaneous)
Corrections
Soft lithography
In vitro model
compartmentalized devices
SDG 3 - Good Health and Well-being
General Materials Science
Neurite guidance
lcsh:Science
nigrostriatal pathway
Nigrostriatal pathway
Full Paper
business.industry
General Engineering
Compartmentalized devices
Correction
Full Papers
021001 nanoscience & nanotechnology
0104 chemical sciences
Fast prototyping
human neural stem cells
lcsh:Q
Neuroscience research
0210 nano-technology
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Kajtez, J, Buchmann, S, Vasudevan, S, Birtele, M, Rocchetti, S, Pless, C J, Heiskanen, A, Barker, R A, Martínez-Serrano, A, Parmar, M, Lind, J U & Emnéus, J 2020, ' 3D-Printed Soft Lithography for Complex Compartmentalized Microfluidic Neural Devices ', Advanced Science, vol. 7, no. 16, 2001150 . https://doi.org/10.1002/advs.202001150, Advanced Science, Advanced Science, Vol 7, Iss 16, Pp n/a-n/a (2020), Advanced Science, Vol 8, Iss 12, Pp n/a-n/a (2021), Digital.CSIC. Repositorio Institucional del CSIC, instname
- Accession number :
- edsair.doi.dedup.....011d4e5cc95c89ffa23714cde1d0153e
- Full Text :
- https://doi.org/10.1002/advs.202001150