面向高容量生物处理器的脑类器官阵列的可扩展3D封装技术

IF 10.5 1区 生物学 Q1 BIOPHYSICS
Jeong Hee Kim , Minseok Kim , Keun-Tae Kim , Namsun Chou , Hong Nam Kim , Il-Joo Cho , Ju-Hyun Lee , Hyogeun Shin
{"title":"面向高容量生物处理器的脑类器官阵列的可扩展3D封装技术","authors":"Jeong Hee Kim ,&nbsp;Minseok Kim ,&nbsp;Keun-Tae Kim ,&nbsp;Namsun Chou ,&nbsp;Hong Nam Kim ,&nbsp;Il-Joo Cho ,&nbsp;Ju-Hyun Lee ,&nbsp;Hyogeun Shin","doi":"10.1016/j.bios.2025.117703","DOIUrl":null,"url":null,"abstract":"<div><div>Neural organoids provide a promising platform for biologically inspired computing due to their complex neural architecture and energy-efficient signal processing. However, the scalability of conventional organoid cultures is limited, restricting synaptic connectivity and functional capacity—significant barriers to developing high-performance bioprocessors. Here, we present a scalable three-dimensional (3D) packaging strategy for neural organoid arrays inspired by semiconductor 3D stacking technology. This approach vertically assembles Matrigel-embedded neural organoids within a polydimethylsiloxane (PDMS)-based chamber using a removable acrylic alignment plate, creating a stable multilayer structure while preserving oxygen and nutrient diffusion. Structural analysis confirms robust inter-organoid connectivity, while electrophysiological recordings reveal significantly enhanced neural dynamics in 3D organoid arrays compared to both single organoids and two-dimensional arrays. Furthermore, prolonged culture duration promotes network maturation and increases functional complexity. This 3D stacking strategy provides a simple yet effective method for expanding the physical and functional capacity of organoid-based systems, offering a viable path toward next-generation biocomputing platforms.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"287 ","pages":"Article 117703"},"PeriodicalIF":10.5000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A scalable 3D packaging technique for brain organoid arrays toward high-capacity bioprocessors\",\"authors\":\"Jeong Hee Kim ,&nbsp;Minseok Kim ,&nbsp;Keun-Tae Kim ,&nbsp;Namsun Chou ,&nbsp;Hong Nam Kim ,&nbsp;Il-Joo Cho ,&nbsp;Ju-Hyun Lee ,&nbsp;Hyogeun Shin\",\"doi\":\"10.1016/j.bios.2025.117703\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Neural organoids provide a promising platform for biologically inspired computing due to their complex neural architecture and energy-efficient signal processing. However, the scalability of conventional organoid cultures is limited, restricting synaptic connectivity and functional capacity—significant barriers to developing high-performance bioprocessors. Here, we present a scalable three-dimensional (3D) packaging strategy for neural organoid arrays inspired by semiconductor 3D stacking technology. This approach vertically assembles Matrigel-embedded neural organoids within a polydimethylsiloxane (PDMS)-based chamber using a removable acrylic alignment plate, creating a stable multilayer structure while preserving oxygen and nutrient diffusion. Structural analysis confirms robust inter-organoid connectivity, while electrophysiological recordings reveal significantly enhanced neural dynamics in 3D organoid arrays compared to both single organoids and two-dimensional arrays. Furthermore, prolonged culture duration promotes network maturation and increases functional complexity. This 3D stacking strategy provides a simple yet effective method for expanding the physical and functional capacity of organoid-based systems, offering a viable path toward next-generation biocomputing platforms.</div></div>\",\"PeriodicalId\":259,\"journal\":{\"name\":\"Biosensors and Bioelectronics\",\"volume\":\"287 \",\"pages\":\"Article 117703\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2025-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosensors and Bioelectronics\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0956566325005779\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosensors and Bioelectronics","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0956566325005779","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0

摘要

神经类器官由于其复杂的神经结构和高效的信号处理,为生物启发计算提供了一个很有前途的平台。然而,常规类器官培养的可扩展性有限,限制了突触连接和功能能力-这是开发高性能生物处理器的重要障碍。在此,我们提出了一种受半导体三维堆叠技术启发的可扩展的神经类器官阵列三维封装策略。该方法使用可移动的丙烯酸校准板将嵌入矩阵的神经类器官垂直组装在聚二甲基硅氧烷(PDMS)为基础的腔室内,在保持氧气和营养扩散的同时创造稳定的多层结构。结构分析证实了强大的类器官间连通性,而电生理记录显示,与单一类器官和二维阵列相比,三维类器官阵列的神经动力学显著增强。此外,文化持续时间的延长促进了网络的成熟,增加了功能的复杂性。这种3D堆叠策略为扩展类器官系统的物理和功能能力提供了一种简单而有效的方法,为下一代生物计算平台提供了可行的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A scalable 3D packaging technique for brain organoid arrays toward high-capacity bioprocessors
Neural organoids provide a promising platform for biologically inspired computing due to their complex neural architecture and energy-efficient signal processing. However, the scalability of conventional organoid cultures is limited, restricting synaptic connectivity and functional capacity—significant barriers to developing high-performance bioprocessors. Here, we present a scalable three-dimensional (3D) packaging strategy for neural organoid arrays inspired by semiconductor 3D stacking technology. This approach vertically assembles Matrigel-embedded neural organoids within a polydimethylsiloxane (PDMS)-based chamber using a removable acrylic alignment plate, creating a stable multilayer structure while preserving oxygen and nutrient diffusion. Structural analysis confirms robust inter-organoid connectivity, while electrophysiological recordings reveal significantly enhanced neural dynamics in 3D organoid arrays compared to both single organoids and two-dimensional arrays. Furthermore, prolonged culture duration promotes network maturation and increases functional complexity. This 3D stacking strategy provides a simple yet effective method for expanding the physical and functional capacity of organoid-based systems, offering a viable path toward next-generation biocomputing platforms.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Biosensors and Bioelectronics
Biosensors and Bioelectronics 工程技术-电化学
CiteScore
20.80
自引率
7.10%
发文量
1006
审稿时长
29 days
期刊介绍: Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信