Capillary-like Formations of Endothelial Cells in Defined Patterns Generated by Laser Bioprinting

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Koch, L.; Deiwick, A.; Chichkov, B.: Capillary-like Formations of Endothelial Cells in Defined Patterns Generated by Laser Bioprinting. In: Micromachines 12 (2021), Nr. 12, 1538. DOI: https://doi.org/10.3390/mi12121538

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/14408

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Sum total of downloads: 41




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Abstract: 
Bioprinting is seen as a promising technique for tissue engineering, with hopes of one day being able to produce whole organs. However, thick tissue requires a functional vascular network, which naturally contains vessels of various sizes, down to capillaries of ~10 µm in diameter, often spaced less than 200 µm apart. If such thick tissues are to be printed, the vasculature would likely need to be printed at the same time, including the capillaries. While there are many approaches in tissue engineering to produce larger vessels in a defined manner, the small capillaries usually arise only in random patterns by sprouting from the larger vessels or from randomly distributed endothelial cells. Here, we investigated whether the small capillaries could also be printed in predefined patterns. For this purpose, we used a laser-based bioprinting technique that allows for the combination of high resolution and high cell density. Our aim was to achieve the formation of closed tubular structures with lumina by laser-printed endothelial cells along the printed patterns on a surface and in bioprinted tissue. This study shows that such capillaries are directly printable; however, persistence of the printed tubular structures was achieved only in tissue with external stimulation by other cell types.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of United States United States 11 26.83%
2 image of flag of Germany Germany 10 24.39%
3 image of flag of Netherlands Netherlands 3 7.32%
4 image of flag of China China 3 7.32%
5 image of flag of Sweden Sweden 2 4.88%
6 image of flag of Russian Federation Russian Federation 2 4.88%
7 image of flag of Korea, Republic of Korea, Republic of 2 4.88%
8 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 2 4.88%
9 image of flag of Indonesia Indonesia 1 2.44%
10 image of flag of Czech Republic Czech Republic 1 2.44%
    other countries 4 9.76%

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