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      Multi‐Sensor Origami Platform: A Customizable System for Obtaining Spatiotemporally Precise Functional Readouts in 3D Models

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          Abstract

          Bioprinting technology offers unprecedented opportunities to construct in vitro tissue models that recapitulate the 3D morphology and functionality of native tissue. Yet, it remains difficult to obtain adequate functional readouts from such models. In particular, it is challenging to position sensors in desired locations within pre‐fabricated 3D bioprinted structures. At the same time, bioprinting tissue directly onto a sensing device is not feasible due to interference with the printer head. As such, a multi‐sensing platform inspired by origami that overcomes these challenges by “folding” around a separately fabricated 3D tissue structure is proposed, allowing for the insertion of electrodes into precise locations, which are custom‐defined using computer‐aided‐design software. The multi‐sensing origami platform (MSOP) can be connected to a commercial multi‐electrode array (MEA) system for data‐acquisition and processing. To demonstrate the platform, how integrated 3D MEA electrodes can record neuronal electrical activity in a 3D model of a neurovascular unit is shown. The MSOP also enables a microvascular endothelial network to be cultured separately and integrated with the 3D tissue structure. Accordingly, how impedance‐based sensors in the platform can measure endothelial barrier function is shown. It is further demonstrated the device's versatility by using it to measure neuronal activity in brain organoids.

          Abstract

          This proposed multi‐sensing origami platform (MSOP) addresses challenges in obtaining functional readouts from 3D bioprinted tissue models. Inspired by origami, it “folds” around a separately fabricated 3D tissue structure, allowing precise insertion of electrodes. Connected to a multi‐electrode array system, it records neuronal activity, measures endothelial barrier function, and demonstrates versatility with organoids.

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          2019 20th International Conference on Solid‐State Sensors, Actuators and Microsystems & Eurosensors XXXIII (TRANSDUCERS & EUROSENSORS XXXIII)

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            Generation of Cerebral Organoids with Enriched Cortical Cellular Diversity and Outer Radial Glial Cell Identity from Human Pluripotent Stem Cells, Protocol Exchange

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              Author and article information

              Contributors
              bmaoz@tauex.tau.ac.il
              Journal
              Adv Sci (Weinh)
              Adv Sci (Weinh)
              10.1002/(ISSN)2198-3844
              ADVS
              Advanced Science
              John Wiley and Sons Inc. (Hoboken )
              2198-3844
              18 April 2024
              June 2024
              : 11
              : 24 ( doiID: 10.1002/advs.v11.24 )
              : 2305555
              Affiliations
              [ 1 ] School of Neurobiology, Biochemistry and Biophysics The George S. Wise Faculty of Life Sciences Tel Aviv University Tel Aviv 69978 Israel
              [ 2 ] Instituto de Microelectrónica de Barcelona (IMB‐CNM, CSIC) Campus UAB Bellaterra Barcelona 08193 Spain
              [ 3 ] Centro de Investigación Biomédica en Red en Bioingeniería Biomateriales y Nanomedicina Madrid 50018 Spain
              [ 4 ] Department of Biomedical Engineering Tel Aviv University Tel Aviv 69978 Israel
              [ 5 ] Sagol Center for Regenerative Medicine Tel Aviv University Tel Aviv 69978 Israel
              [ 6 ] Sagol School of Neuroscience Tel Aviv University Tel Aviv 69978 Israel
              [ 7 ] The Center for Nanoscience and Nanotechnology Tel Aviv University Tel Aviv 69978 Israel
              Author notes
              Author information
              https://orcid.org/0000-0002-3823-7682
              Article
              ADVS7938
              10.1002/advs.202305555
              11200086
              38634605
              ae4dc389-f503-47c5-9fca-f23df1e58765
              © 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH

              This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

              History
              : 14 March 2024
              : 09 August 2023
              Page count
              Figures: 9, Tables: 0, Pages: 17, Words: 12443
              Funding
              Funded by: Israel Science Foundation , doi 10.13039/501100003977;
              Award ID: 2248/19
              Award ID: 1934/23
              Funded by: Israel Ministry of Science and Technology
              Award ID: 3–17351
              Award ID: 8–2175
              Funded by: Marie Skłodowska‐Curie
              Award ID: 101007804‐Micro4Nano
              Funded by: Ministerio de Ciéncia Innovación y Universidades
              Funded by: Universitat Autònoma de Barcelona , doi 10.13039/501100011104;
              Award ID: PRE2019‐ 089214
              Funded by: Volkswagen Foundation , doi 10.13039/501100001663;
              Award ID: 15‐76251‐5617/2023
              Funded by: H2020 Marie Skłodowska‐Curie Actions , doi 10.13039/100010665;
              Award ID: 101086329 OSTEONET
              Funded by: Spanish National Plan for Scientific and Technical Research and Innovation , doi 10.13039/501100017642;
              Award ID: RTI2018‐096786‐B‐I00
              Funded by: Israel Innovation Authority , doi 10.13039/501100024250;
              Award ID: "BioChip"
              Funded by: HORIZON EUROPE European Research Council , doi 10.13039/100019180;
              Award ID: SweetBrain 851765
              Funded by: Azrieli Foundation , doi 10.13039/501100005155;
              Categories
              Research Article
              Research Articles
              Custom metadata
              2.0
              June 26, 2024
              Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.4 mode:remove_FC converted:26.06.2024

              3d mea,bioprinting,origami,sensor integration
              3d mea, bioprinting, origami, sensor integration

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