Spatiotemporal Interrogation of Single Spheroids Using Multiplexed Nanoplasmonic-Fluorescence Imaging.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Saeid Ansaryan, Yung-Cheng Chiang, Yen-Cheng Liu, Jiayi Tan, Luis Francisco Lorenzo-Martín, Matthias P Lutolf, Genrich Tolstonog, Hatice Altug
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Abstract

Advances in organoid models, as ex vivo mini-organs, and the development of screening imaging technologies have continuously driven each other forward. A complete understanding of organoids requires detailed insights into the intertwined intraorganoid and extraorganoid activities and how they change across time and space. This study introduces a multiplexed imaging platform that integrates label-free nanoplasmonic biosensing with fluorescence microscopy to offer simultaneous monitoring of dynamics occurring within and around arrays of single spheroids with spatiotemporal resolution. The label-free module employs nanoplasmonic biosensors with extraordinary optical transmission to track biomolecular secretions into the surroundings, while concurrent fluorescence imaging enables structural analysis and viability assessment. To perform multiparametric interrogation of the data from different channels over extended periods, a deep-learning-augmented image analysis is incorporated. The platform is applied to tumor spheroids to investigate vascular endothelial growth factor A secretion alongside morphometric changes and viability, showcasing its ability to capture variations in secretion and growth dynamics between untreated and drug-treated groups. This integrated approach advances comprehensive insights into organoid models and can complement existing technologies to accelerate discoveries in disease modeling and drug development.

利用多路纳米等离子体荧光成像对单个球体进行时空探测。
类器官模型作为离体微型器官,其发展与筛选成像技术的发展相互推动。要全面了解类器官,需要详细了解类器官内和类器官外相互交织的活动,以及它们如何随时间和空间变化。本研究介绍了一种多路成像平台,该平台将无标记纳米等离子体生物传感与荧光显微镜相结合,以时空分辨率同时监测单个球体阵列内部和周围发生的动态。无标签模块采用具有非凡光学传输的纳米等离子体生物传感器来跟踪周围环境中的生物分子分泌物,同时荧光成像可以进行结构分析和可行性评估。为了在较长时间内对来自不同通道的数据进行多参数查询,采用了深度学习增强图像分析。该平台应用于肿瘤球体,研究血管内皮生长因子A分泌以及形态变化和活力,展示了其捕捉未治疗组和药物治疗组之间分泌和生长动态变化的能力。这种综合方法推进了对类器官模型的全面了解,并可以补充现有技术,以加速疾病建模和药物开发的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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