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Abstract

3D Polymer Structures for the Identification of Optimal Dimensions for Cellular Growth for 3D Lung Alveolar Models †

by
Christian Maibohm
*,
Alberto Saldana-Lopez
,
Oscar F. Silvestre
and
Jana B. Nieder
*
International Iberian Nanotechnology Laboratory, Avenida Mestre José Veiga s/n, 4715-330 Braga, Portugal
*
Authors to whom correspondence should be addressed.
Presented at the 1st International Conference on Micromachines and Applications, 15–30 April 2021; Available online: https://micromachines2021.sciforum.net/.
Published: 16 April 2021
(This article belongs to the Proceedings of The 1st International Conference on Micromachines and Applications)

Abstract

:
Organ-on-chips and scaffolds for tissue engineering are vital assay tools for pre-clinical testing and prediction of human response to drugs and toxins, while providing an ethically sound alternative to animal testing and a low-cost alternative to expensive clinical studies. An important success criterion for these models is the ability to have structural parameters for optimized performance. In this study we show how the two-photon polymerization fabrication method can be used to create 3D test platforms made for analyzing optimal scaffold parameters for cell growth. We design and fabricate a 3D grid structure, designed as a set of wall structures with niches of various dimensions for probing the optimal niche for cell attachment. The 3D grid structures are fabricated from bio-compatible polymer SZ2080 and subsequently seeded with A549 lung epithelia cells. The seeded structures are incubated and imaged with multi-color spectral confocal microscopy at several time points, to determine the volume of cell material present in the different niches of the grid structure. Spectral imaging with linear unmixing is used to separate the auto-fluorescence contribution from the scaffold from the fluorescence of the cells and use it to determine the volume of cell material present in the different sections of the grid structure. The variation in structural parameters influences the incubated A549 cells’ distribution and morphology. In future, this kind of differentiated 3D growth platform could be applied for optimized culture growth, cell differentiation and advanced cell therapies.

Supplementary Materials

The supplementary file is available online at https://www.mdpi.com/article/10.3390/Micromachines2021-09596/s1.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.
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MDPI and ACS Style

Maibohm, C.; Saldana-Lopez, A.; Silvestre, O.F.; Nieder, J.B. 3D Polymer Structures for the Identification of Optimal Dimensions for Cellular Growth for 3D Lung Alveolar Models. Eng. Proc. 2021, 4, 33. https://doi.org/10.3390/Micromachines2021-09596

AMA Style

Maibohm C, Saldana-Lopez A, Silvestre OF, Nieder JB. 3D Polymer Structures for the Identification of Optimal Dimensions for Cellular Growth for 3D Lung Alveolar Models. Engineering Proceedings. 2021; 4(1):33. https://doi.org/10.3390/Micromachines2021-09596

Chicago/Turabian Style

Maibohm, Christian, Alberto Saldana-Lopez, Oscar F. Silvestre, and Jana B. Nieder. 2021. "3D Polymer Structures for the Identification of Optimal Dimensions for Cellular Growth for 3D Lung Alveolar Models" Engineering Proceedings 4, no. 1: 33. https://doi.org/10.3390/Micromachines2021-09596

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