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

Journal: Science robotics
PMID:

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.

Authors

  • Qinglong Wang
    Department of Mechanical and Automation Engineering, Chinese University of Hong Kong (CUHK), Shatin, N.T., Hong Kong, China.
  • Qianqian Wang
    School of Teacher Education, Zhejiang Normal University, Jinhua, China.
  • Zhipeng Ning
    Department of Mechanical and Automation Engineering, Chinese University of Hong Kong (CUHK), Shatin, N.T., Hong Kong, China.
  • Kai Fung Chan
    Chow Yuk Ho Technology Centre for Innovative Medicine, Chinese University of Hong Kong, Hong Kong, China.
  • Jialin Jiang
    Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Yuqiong Wang
    Department of Mechanical and Automation Engineering, Chinese University of Hong Kong (CUHK), Shatin, N.T., Hong Kong, China.
  • Lin Su
  • Shuai Jiang
    Department of Orthopaedics, Peking University Third Hospital, Beijing, China.
  • Ben Wang
    Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin N.T., Hong Kong, China.
  • Bonaventure Yiu Ming Ip
    Division of Neurology, Department of Medicine and Therapeutics, CUHK, Shatin, N.T., Hong Kong, China.
  • Ho Ko
    Department of Medicine and Therapeutics and School of Biomedical Sciences, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China.
  • Thomas Wai Hong Leung
    Division of Neurology, Department of Medicine and Therapeutics, CUHK, Shatin, N.T., Hong Kong, China.
  • Philip Wai Yan Chiu
  • Simon Chun Ho Yu
    Department of Imaging and Interventional Radiology, CUHK, Shatin, N.T., Hong Kong, China.
  • Li Zhang
    Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.