可视化
计算机科学
追踪
药物输送
纳米技术
生物系统
生物医学工程
材料科学
数据挖掘
医学
生物
操作系统
作者
Zeying Cao,Yanli Zhao,Hongyu Sun,Xian Sun,Yu Zhang,Shuo Zhang,Caifen Wang,Ting Xiong,Abid Naeem,Jiwen Zhang,Xianzhen Yin
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2023-08-02
卷期号:9 (31)
被引量:5
标识
DOI:10.1126/sciadv.adh7779
摘要
Currently, the effectiveness of oncotherapy is limited by tumor heterogeneities, which presents a huge challenge for the development of nanotargeted drug delivery systems (DDSs). Therefore, it is important to resolve the spatiotemporal interactions between tumors and nanoparticles. However, targeting evaluation has been limited by particle visualization due to the gap between whole-organ scale and subcellular precision. Here, a high-precision three-dimensional (3D) visualization of tumor structure based on the micro-optical sectioning tomography (MOST) system and fluorescence MOST (fMOST) system is presented to clarify 3D spatial distribution of nanoparticles within the tumor. We demonstrate that through the MOST/fMOST system, it is possible to reveal multidimensional and cross-scale correlations between the tumor structure and nanoparticle distribution to remodel the tumor microenvironment and explore the structural parameters of vasculature. This visualization methodology provides an accurate assessment of the efficacy, distribution, and targeting efficiency of DDSs for oncotherapy compared to available approaches.
科研通智能强力驱动
Strongly Powered by AbleSci AI