Tracking and navigation of a microswarm under laser speckle contrast imaging for targeted delivery

Author:

Wang Qinglong1ORCID,Wang Qianqian2ORCID,Ning Zhipeng1,Chan Kai Fung34ORCID,Jiang Jialin1,Wang Yuqiong1,Su Lin1ORCID,Jiang Shuai1ORCID,Wang Ben5ORCID,Ip Bonaventure Yiu Ming6ORCID,Ko Ho6ORCID,Leung Thomas Wai Hong6ORCID,Chiu Philip Wai Yan347ORCID,Yu Simon Chun Ho8ORCID,Zhang Li13479ORCID

Affiliation:

1. Department of Mechanical and Automation Engineering, Chinese University of Hong Kong (CUHK), Shatin, N.T., Hong Kong, China.

2. Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing, China.

3. Chow Yuk Ho Technology Centre for Innovative Medicine, CUHK, Shatin, N.T., Hong Kong, China.

4. Multi-Scale Medical Robotics Center, Hong Kong Science Park, Shatin, N.T., Hong Kong SAR, China.

5. College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, China.

6. Division of Neurology, Department of Medicine and Therapeutics, CUHK, Shatin, N.T., Hong Kong, China.

7. Department of Surgery, CUHK, Shatin, N.T., Hong Kong, China.

8. Department of Imaging and Interventional Radiology, CUHK, Shatin, N.T., Hong Kong, China.

9. CUHK T Stone Robotics Institute, CUHK, Shatin, N.T., Hong Kong, China.

Abstract

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.

Publisher

American Association for the Advancement of Science (AAAS)

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