PERSPECTIVE article
Front. Bioeng. Biotechnol.
Sec. Organoids and Organ-On-A-Chip
Volume 13 - 2025 | doi: 10.3389/fbioe.2025.1600077
This article is part of the Research TopicAdvancements in Image Processing and Analysis Techniques for Microphysiological SystemsView all 3 articles
More than just life and death: Advances in imaging and analysis for 3D-bioprinted models
Provisionally accepted
- Center for Molecular Biology, Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
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3D bioprinting is a fast-growing field with applications in both microphysiological systems and tissue engineering. However, the qualifications and definitions of success for 3D-bioprinted products are insufficient. We can further our characterization of 3D-bioprinting methods and finished products using new imaging techniques and analysis methods, including the use of AI tools. This multi-faceted approach can deepen our understanding of valuable technology by examining the effects of 3D bioprinting on cell identity, behavior and organelles. Defining a successful 3D-bioprinted product in addition to viability is crucial in the push toward using these models for drug screening or disease modeling, where robust and high-quality systems are required for meaningful data output.
Keywords: machine learning, 3D bioprinting, CNN - convolutional neural network, 3D cell culture, image analysis, AI image analysis, light microscopy
Received: 25 Mar 2025; Accepted: 27 May 2025.
Copyright: © 2025 Spiller and Duarte Campos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Erin Spiller, Center for Molecular Biology, Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.