当前位置:科学网首页 > 小柯机器人 >详情
新方法实现基于多尺度表型定量的类器官培养物自动高速3D成像
作者:小柯机器人 发布时间:2022/6/19 2:45:13

新加坡国立大学Virgile Viasnoff等研究人员合作实现基于多尺度表型定量的类器官培养物自动高速3D成像。2022年6月13日,《自然—方法学》杂志在线发表了这项成果。

研究人员提出了一个自动化的多尺度三维成像平台,将高密度的类器官培养物与快速和活体三维单目标光片成像协同起来。该平台由一次性微制造的类器官培养芯片(称为JeWells)组成,内嵌光学元件和激光光束转向装置,并与商用倒置显微镜相连。它能够在一台用户友好的仪器上简化类器官的培养和高内涵的三维成像,操作最少,每小时可生产300个类器官。

研究人员证明,通过这个平台可以收集到大量的三维堆栈,可以训练基于深度学习的算法来量化多尺度的类器官的形态发生组织,范围从亚细胞尺度到整个类器官水平。研究人员在肠道、肝脏、神经外胚层类器官和肿瘤球上验证了这个方法的通用性和稳健性。

据介绍,目前的成像方法限制了对大量的3D器官型培养物(organoid)进行多尺度表征的能力。

附:英文原文

Title: Automated high-speed 3D imaging of organoid cultures with multi-scale phenotypic quantification

Author: Beghin, Anne, Grenci, Gianluca, Sahni, Geetika, Guo, Su, Rajendiran, Harini, Delaire, Tom, Mohamad Raffi, Saburnisha Binte, Blanc, Damien, de Mets, Richard, Ong, Hui Ting, Galindo, Xareni, Monet, Anais, Acharya, Vidhyalakshmi, Racine, Victor, Levet, Florian, Galland, Remi, Sibarita, Jean-Baptiste, Viasnoff, Virgile

Issue&Volume: 2022-06-13

Abstract: Current imaging approaches limit the ability to perform multi-scale characterization of three-dimensional (3D) organotypic cultures (organoids) in large numbers. Here, we present an automated multi-scale 3D imaging platform synergizing high-density organoid cultures with rapid and live 3D single-objective light-sheet imaging. It is composed of disposable microfabricated organoid culture chips, termed JeWells, with embedded optical components and a laser beam-steering unit coupled to a commercial inverted microscope. It permits streamlining organoid culture and high-content 3D imaging on a single user-friendly instrument with minimal manipulations and a throughput of 300 organoids per hour. We demonstrate that the large number of 3D stacks that can be collected via our platform allows training deep learning-based algorithms to quantify morphogenetic organizations of organoids at multi-scales, ranging from the subcellular scale to the whole organoid level. We validated the versatility and robustness of our approach on intestine, hepatic, neuroectoderm organoids and oncospheres. A method for high-content 3D imaging of organoids.

DOI: 10.1038/s41592-022-01508-0

Source: https://www.nature.com/articles/s41592-022-01508-0

期刊信息

Nature Methods:《自然—方法学》,创刊于2004年。隶属于施普林格·自然出版集团,最新IF:28.467
官方网址:https://www.nature.com/nmeth/
投稿链接:https://mts-nmeth.nature.com/cgi-bin/main.plex