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 , Minseok Kim , Keun-Tae Kim , Namsun Chou , Hong Nam Kim , Il-Joo Cho , Ju-Hyun Lee , 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 , Minseok Kim , Keun-Tae Kim , Namsun Chou , Hong Nam Kim , Il-Joo Cho , Ju-Hyun Lee , 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}
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.
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.