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In situ sensing physiological properties of biological tissues using wireless miniature soft robots.
Wang, Chunxiang; Wu, Yingdan; Dong, Xiaoguang; Armacki, Milena; Sitti, Metin.
Afiliación
  • Wang C; Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.
  • Wu Y; Institute for Biomedical Engineering, ETH Zürich, Zürich 8092, Switzerland.
  • Dong X; Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.
  • Armacki M; Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA.
  • Sitti M; University Hospital Ulm, Ulm 89081, Germany.
Sci Adv ; 9(23): eadg3988, 2023 06 09.
Article en En | MEDLINE | ID: mdl-37285426
Implanted electronic sensors, compared with conventional medical imaging, allow monitoring of advanced physiological properties of soft biological tissues continuously, such as adhesion, pH, viscoelasticity, and biomarkers for disease diagnosis. However, they are typically invasive, requiring being deployed by surgery, and frequently cause inflammation. Here we propose a minimally invasive method of using wireless miniature soft robots to in situ sense the physiological properties of tissues. By controlling robot-tissue interaction using external magnetic fields, visualized by medical imaging, we can recover tissue properties precisely from the robot shape and magnetic fields. We demonstrate that the robot can traverse tissues with multimodal locomotion and sense the adhesion, pH, and viscoelasticity on porcine and mice gastrointestinal tissues ex vivo, tracked by x-ray or ultrasound imaging. With the unprecedented capability of sensing tissue physiological properties with minimal invasion and high resolution deep inside our body, this technology can potentially enable critical applications in both basic research and clinical practice.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Robótica Límite: Animals Idioma: En Revista: Sci Adv Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Robótica Límite: Animals Idioma: En Revista: Sci Adv Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos