基于智能微/纳米马达的先进成像策略。

IF 18.1 Q1 ENGINEERING, BIOMEDICAL
Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-09-10 eCollection Date: 2025-01-01 DOI:10.34133/cbsystems.0384
Dang Zhang, Liang Lin, Chao Deng, Mohamed Syazwan Osman, Paul E D Soto Rodriguez, Fei Han, Mingyu Li, Lei Wang
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引用次数: 0

摘要

生物成像通过揭示形态和生理动态,彻底改变了组织分析,但在穿透深度和分辨率方面面临固有的限制。具有自主推进和时空控制能力的微纳米马达(MNMs)为传统的静态成像范式提供了革命性的解决方案。这些动态造影剂通过运动放大信号调制提高超声、荧光、光声和磁共振成像的检测灵敏度,实现亚细胞事件和微环境变化的实时跟踪。虽然mnms增强的生物成像技术进展迅速,但对其机制和挑战的系统分析仍然有限。本文在总结前人研究经验的基础上,首先总结了纳米材料在单模态成像中的信号增强机制。然后,通过MNMs探针设计探索了多模态应用,并讨论了人工智能驱动的智能MNMs精密成像。最后,概述了挑战和展望,旨在为mnms介导的生物成像技术提供理论框架和研究路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced Imaging Strategies Based on Intelligent Micro/Nanomotors.

Biological imaging has revolutionized tissue analysis by revealing morphological and physiological dynamics, yet faces inherent limitations in penetration depth and resolution. Micro/nanomotors (MNMs), with autonomous propulsion and spatiotemporal control, offer transformative solutions to traditional static imaging paradigms. These dynamic contrast agents enhance detection sensitivity in ultrasound, fluorescence, photoacoustic, and magnetic resonance imaging via motion-amplified signal modulation, enabling real-time tracking of subcellular events and microenvironmental changes. While MNMs-enhanced bioimaging has advanced rapidly, systematic analysis of their mechanisms and challenges remains limited. Based on our research experience in this field, this paper first summarizes the signal-enhancing mechanisms of MNMs in single-modal imaging. It then explores multimodal applications through MNMs-probe design and discusses artificial intelligence-driven intelligent MNMs for precision imaging. Finally, challenges and outlook are outlined, aiming to provide a theoretical framework and research roadmap for MNMs-mediated bioimaging technologies.

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来源期刊
CiteScore
7.70
自引率
0.00%
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审稿时长
21 weeks
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