Academic User View: Organ-on-a-Chip Technology
Organ-on-a-Chip (OoC) systems bring together cell biology, engineering, and material science for creating systems that recapitulate the in vivo microenvironment of tissues and organs. The versatility of OoC systems enables in vitro models for studying physiological processes, drug development, and t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Biosensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-6374/12/2/126 |
| _version_ | 1797482227861291008 |
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| author | Mathias Busek Aleksandra Aizenshtadt Mikel Amirola-Martinez Ludivine Delon Stefan Krauss |
| author_facet | Mathias Busek Aleksandra Aizenshtadt Mikel Amirola-Martinez Ludivine Delon Stefan Krauss |
| author_sort | Mathias Busek |
| collection | DOAJ |
| description | Organ-on-a-Chip (OoC) systems bring together cell biology, engineering, and material science for creating systems that recapitulate the in vivo microenvironment of tissues and organs. The versatility of OoC systems enables in vitro models for studying physiological processes, drug development, and testing in both academia and industry. This paper evaluates current platforms from the academic end-user perspective, elaborating on usability, complexity, and robustness. We surveyed 187 peers in 35 countries and grouped the responses according to preliminary knowledge and the source of the OoC systems that are used. The survey clearly shows that current commercial OoC platforms provide a substantial level of robustness and usability—which is also indicated by an increasing adaptation of the pharmaceutical industry—but a lack of complexity can challenge their use as a predictive platform. Self-made systems, on the other hand, are less robust and standardized but provide the opportunity to develop customized and more complex models, which are often needed for human disease modeling. This perspective serves as a guide for researchers in the OoC field and encourages the development of next-generation OoCs. |
| first_indexed | 2024-03-09T22:28:17Z |
| format | Article |
| id | doaj.art-c1e9afb9fbde46b8b53a67cf18580257 |
| institution | Directory Open Access Journal |
| issn | 2079-6374 |
| language | English |
| last_indexed | 2024-03-09T22:28:17Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj.art-c1e9afb9fbde46b8b53a67cf185802572023-11-23T19:01:45ZengMDPI AGBiosensors2079-63742022-02-0112212610.3390/bios12020126Academic User View: Organ-on-a-Chip TechnologyMathias Busek0Aleksandra Aizenshtadt1Mikel Amirola-Martinez2Ludivine Delon3Stefan Krauss4Hybrid Technology Hub—Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, NorwayHybrid Technology Hub—Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, NorwayHybrid Technology Hub—Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, NorwayDepartment of Immunology and Transfusion Medicine, Oslo University Hospital, 0424 Oslo, NorwayHybrid Technology Hub—Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, NorwayOrgan-on-a-Chip (OoC) systems bring together cell biology, engineering, and material science for creating systems that recapitulate the in vivo microenvironment of tissues and organs. The versatility of OoC systems enables in vitro models for studying physiological processes, drug development, and testing in both academia and industry. This paper evaluates current platforms from the academic end-user perspective, elaborating on usability, complexity, and robustness. We surveyed 187 peers in 35 countries and grouped the responses according to preliminary knowledge and the source of the OoC systems that are used. The survey clearly shows that current commercial OoC platforms provide a substantial level of robustness and usability—which is also indicated by an increasing adaptation of the pharmaceutical industry—but a lack of complexity can challenge their use as a predictive platform. Self-made systems, on the other hand, are less robust and standardized but provide the opportunity to develop customized and more complex models, which are often needed for human disease modeling. This perspective serves as a guide for researchers in the OoC field and encourages the development of next-generation OoCs.https://www.mdpi.com/2079-6374/12/2/126organ-on-a-chip (OoC)microphysiological systems (MPS)surveyusabilitylimitationsdisease models |
| spellingShingle | Mathias Busek Aleksandra Aizenshtadt Mikel Amirola-Martinez Ludivine Delon Stefan Krauss Academic User View: Organ-on-a-Chip Technology Biosensors organ-on-a-chip (OoC) microphysiological systems (MPS) survey usability limitations disease models |
| title | Academic User View: Organ-on-a-Chip Technology |
| title_full | Academic User View: Organ-on-a-Chip Technology |
| title_fullStr | Academic User View: Organ-on-a-Chip Technology |
| title_full_unstemmed | Academic User View: Organ-on-a-Chip Technology |
| title_short | Academic User View: Organ-on-a-Chip Technology |
| title_sort | academic user view organ on a chip technology |
| topic | organ-on-a-chip (OoC) microphysiological systems (MPS) survey usability limitations disease models |
| url | https://www.mdpi.com/2079-6374/12/2/126 |
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