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Real-Time IR Tracking of Single Reflective Micromotors through Scattering Tissues

  • Azaam Aziz
  • , Mariana Medina-Sánchez*
  • , Nektarios Koukourakis
  • , Jiawei Wang
  • , Robert Kuschmierz
  • , Hannes Radner
  • , Jürgen W. Czarske
  • , Oliver G. Schmidt
  • *Corresponding author for this work
  • Leibniz Institute for Solid State and Materials Research Dresden
  • Technische Universität Dresden
  • Chemnitz University of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Medical micromotors have the potential to lead to a paradigm shift in future biomedicine, as they may perform active drug delivery, microsurgery, tissue engineering, or assisted fertilization in a minimally invasive manner. However, the translation to clinical treatment is challenging, as many applications of single or few micromotors require real-time tracking and control at high spatiotemporal resolution in deep tissue. Although optical techniques are a popular choice for this task, absorption and strong light scattering lead to a pronounced decrease of the signal-to-noise ratio with increasing penetration depth. Here, a highly reflective micromotor is introduced which reflects more than tenfold the light intensity of simple gold particles and can be precisely navigated by external magnetic fields. A customized optical IR imaging setup and an image correlation technique are implemented to track single micromotors in real-time and label-free underneath phantom and ex vivo mouse skull tissues. As a potential application, the micromotors speed is recorded when moving through different viscous fluids to determine the viscosity of diverse physiological fluids toward remote cardiovascular disease diagnosis. Moreover, the micromotors are loaded with a model drug to demonstrate their cargo-transport capability. The proposed reflective micromotor is suitable as theranostic tool for sub-skin or organ-on-a-chip applications.

Original languageEnglish
Article number1905272
JournalAdvanced Functional Materials
Volume29
Issue number51
DOIs
StatePublished - 1 Dec 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • medical microbots
  • mice skull tissues
  • micro-reflectors
  • micromotors
  • phantoms
  • real-time tracking

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