斑点图案
对比度(视觉)
跟踪(教育)
计算机视觉
时间分辨率
图像分辨率
群体行为
计算机科学
人工智能
光学
物理
心理学
教育学
作者
Qinglong Wang,Qianqian Wang,Zhipeng Ning,Kai Fung Chan,Jialin Jiang,Yuqiong Wang,Lin Su,Shuai Jiang,Ben Wang,Bonaventure Ip,Ho Ko,Thomas Leung,Philip Wai Yan Chiu,Simon C.H. Yu,Li Zhang
出处
期刊:Science robotics
[American Association for the Advancement of Science (AAAS)]
日期:2024-02-21
卷期号:9 (87)
被引量:4
标识
DOI:10.1126/scirobotics.adh1978
摘要
Micro/nanorobotic swarms consisting of numerous tiny building blocks show great potential in biomedical applications because of their collective active delivery ability, enhanced imaging contrast, and environment-adaptive capability. However, in vivo real-time imaging and tracking of micro/nanorobotic swarms remain a challenge, considering the limited imaging size and spatial-temporal resolution of current imaging modalities. Here, we propose a strategy that enables real-time tracking and navigation of a microswarm in stagnant and flowing blood environments by using laser speckle contrast imaging (LSCI), featuring full-field imaging, high temporal-spatial resolution, and noninvasiveness. The change in dynamic convection induced by the microswarm can be quantitatively investigated by analyzing the perfusion unit (PU) distribution, offering an alternative approach to investigate the swarm behavior and its interaction with various blood environments. Both the microswarm and surrounding environment were monitored and imaged by LSCI in real time, and the images were further analyzed for simultaneous swarm tracking and navigation in the complex vascular system. Moreover, our strategy realized real-time tracking and delivery of a microswarm in vivo, showing promising potential for LSCI-guided active delivery of microswarm in the vascular system.
科研通智能强力驱动
Strongly Powered by AbleSci AI