血管化的类器官芯片:设计、成像和分析。

IF 9.2 1区 医学 Q1 PERIPHERAL VASCULAR DISEASE Angiogenesis Pub Date : 2024-02-26 DOI:10.1007/s10456-024-09905-z
Tingting Yu, Qihang Yang, Bo Peng, Zhongze Gu, Dan Zhu
{"title":"血管化的类器官芯片:设计、成像和分析。","authors":"Tingting Yu,&nbsp;Qihang Yang,&nbsp;Bo Peng,&nbsp;Zhongze Gu,&nbsp;Dan Zhu","doi":"10.1007/s10456-024-09905-z","DOIUrl":null,"url":null,"abstract":"<div><p>Vascularized organoid-on-a-chip (VOoC) models achieve substance exchange in deep layers of organoids and provide a more physiologically relevant system in vitro. Common designs for VOoC primarily involve two categories: self-assembly of endothelial cells (ECs) to form microvessels and pre-patterned vessel lumens, both of which include the hydrogel region for EC growth and allow for controlled fluid perfusion on the chip. Characterizing the vasculature of VOoC often relies on high-resolution microscopic imaging. However, the high scattering of turbid tissues can limit optical imaging depth. To overcome this limitation, tissue optical clearing (TOC) techniques have emerged, allowing for 3D visualization of VOoC in conjunction with optical imaging techniques. The acquisition of large-scale imaging data, coupled with high-resolution imaging in whole-mount preparations, necessitates the development of highly efficient analysis methods. In this review, we provide an overview of the chip designs and culturing strategies employed for VOoC, as well as the applicable optical imaging and TOC methods. Furthermore, we summarize the vascular analysis techniques employed in VOoC, including deep learning. Finally, we discuss the existing challenges in VOoC and vascular analysis methods and provide an outlook for future development.</p></div>","PeriodicalId":7886,"journal":{"name":"Angiogenesis","volume":"27 2","pages":"147 - 172"},"PeriodicalIF":9.2000,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vascularized organoid-on-a-chip: design, imaging, and analysis\",\"authors\":\"Tingting Yu,&nbsp;Qihang Yang,&nbsp;Bo Peng,&nbsp;Zhongze Gu,&nbsp;Dan Zhu\",\"doi\":\"10.1007/s10456-024-09905-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Vascularized organoid-on-a-chip (VOoC) models achieve substance exchange in deep layers of organoids and provide a more physiologically relevant system in vitro. Common designs for VOoC primarily involve two categories: self-assembly of endothelial cells (ECs) to form microvessels and pre-patterned vessel lumens, both of which include the hydrogel region for EC growth and allow for controlled fluid perfusion on the chip. Characterizing the vasculature of VOoC often relies on high-resolution microscopic imaging. However, the high scattering of turbid tissues can limit optical imaging depth. To overcome this limitation, tissue optical clearing (TOC) techniques have emerged, allowing for 3D visualization of VOoC in conjunction with optical imaging techniques. The acquisition of large-scale imaging data, coupled with high-resolution imaging in whole-mount preparations, necessitates the development of highly efficient analysis methods. In this review, we provide an overview of the chip designs and culturing strategies employed for VOoC, as well as the applicable optical imaging and TOC methods. Furthermore, we summarize the vascular analysis techniques employed in VOoC, including deep learning. Finally, we discuss the existing challenges in VOoC and vascular analysis methods and provide an outlook for future development.</p></div>\",\"PeriodicalId\":7886,\"journal\":{\"name\":\"Angiogenesis\",\"volume\":\"27 2\",\"pages\":\"147 - 172\"},\"PeriodicalIF\":9.2000,\"publicationDate\":\"2024-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Angiogenesis\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10456-024-09905-z\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PERIPHERAL VASCULAR DISEASE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Angiogenesis","FirstCategoryId":"3","ListUrlMain":"https://link.springer.com/article/10.1007/s10456-024-09905-z","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PERIPHERAL VASCULAR DISEASE","Score":null,"Total":0}
引用次数: 0

摘要

血管化有机体芯片(VOoC)模型可实现有机体深层的物质交换,并提供更贴近生理的体外系统。VOoC 的常见设计主要涉及两类:内皮细胞(EC)自组装形成微血管和预制血管腔,两者都包括供 EC 生长的水凝胶区域,并允许在芯片上控制液体灌注。表征 VOoC 的血管通常依赖于高分辨率显微成像。然而,浑浊组织的高散射会限制光学成像的深度。为了克服这一限制,组织光学清除(TOC)技术应运而生,可结合光学成像技术实现 VOoC 的三维可视化。大规模成像数据的获取,加上整装制备的高分辨率成像,需要开发高效的分析方法。在本综述中,我们概述了 VOoC 所采用的芯片设计和培养策略,以及适用的光学成像和 TOC 方法。此外,我们还总结了 VOoC 中采用的血管分析技术,包括深度学习。最后,我们讨论了 VOoC 和血管分析方法的现有挑战,并对未来发展进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Vascularized organoid-on-a-chip: design, imaging, and analysis

Vascularized organoid-on-a-chip (VOoC) models achieve substance exchange in deep layers of organoids and provide a more physiologically relevant system in vitro. Common designs for VOoC primarily involve two categories: self-assembly of endothelial cells (ECs) to form microvessels and pre-patterned vessel lumens, both of which include the hydrogel region for EC growth and allow for controlled fluid perfusion on the chip. Characterizing the vasculature of VOoC often relies on high-resolution microscopic imaging. However, the high scattering of turbid tissues can limit optical imaging depth. To overcome this limitation, tissue optical clearing (TOC) techniques have emerged, allowing for 3D visualization of VOoC in conjunction with optical imaging techniques. The acquisition of large-scale imaging data, coupled with high-resolution imaging in whole-mount preparations, necessitates the development of highly efficient analysis methods. In this review, we provide an overview of the chip designs and culturing strategies employed for VOoC, as well as the applicable optical imaging and TOC methods. Furthermore, we summarize the vascular analysis techniques employed in VOoC, including deep learning. Finally, we discuss the existing challenges in VOoC and vascular analysis methods and provide an outlook for future development.

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
Angiogenesis
Angiogenesis PERIPHERAL VASCULAR DISEASE-
CiteScore
21.90
自引率
8.20%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Angiogenesis, a renowned international journal, seeks to publish high-quality original articles and reviews on the cellular and molecular mechanisms governing angiogenesis in both normal and pathological conditions. By serving as a primary platform for swift communication within the field of angiogenesis research, this multidisciplinary journal showcases pioneering experimental studies utilizing molecular techniques, in vitro methods, animal models, and clinical investigations into angiogenic diseases. Furthermore, Angiogenesis sheds light on cutting-edge therapeutic strategies for promoting or inhibiting angiogenesis, while also highlighting fresh markers and techniques for disease diagnosis and prognosis.
期刊最新文献
Correction: Mitochondrial control of hypoxia-induced pathological retinal angiogenesis Angiogenesis is limited by LIC1-mediated lysosomal trafficking Similarities and differences between brain and skin GNAQ p.R183Q driven capillary malformations Inflammasome activation aggravates choroidal neovascularization Timed topical dexamethasone eye drops improve mitochondrial function to prevent severe retinopathy of prematurity
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1