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In vivo 19F MRI for Cell Tracking
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In vivo 19F MRI for cell tracking.

Mangala Srinivas1, Philipp Boehm-Sturm, Markus Aswendt

  • 1Department of Tumor Immunology, Nijmegen Center for Molecular Life Sciences, Radboud University Medical Center.

Journal of Visualized Experiments : Jove
|December 5, 2013
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This study presents a general protocol for in vivo Fluorine-19 Magnetic Resonance Imaging (19F MRI) for quantitative cell tracking. This noninvasive technique avoids ionizing radiation and is adaptable for various cell types, animal models, and potential human applications.

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Area of Science:

  • Biomedical Imaging
  • Cellular Biology
  • Medical Technology

Background:

  • Quantitative cell tracking is crucial for understanding biological processes and disease progression.
  • Existing methods often involve ionizing radiation or are invasive, limiting their application.
  • Fluorine-19 Magnetic Resonance Imaging (19F MRI) offers a noninvasive alternative for cell tracking.

Purpose of the Study:

  • To describe a generalizable protocol for in vivo 19F MRI-based cell tracking.
  • To detail cell labeling, imaging, and image processing steps for quantitative analysis.
  • To provide a framework adaptable for diverse cell types, animal models, and clinical settings.

Main Methods:

  • Development of a standardized protocol for cell labeling using 19F agents.
  • Optimization of in vivo 19F MRI acquisition parameters for various setups.
  • Implementation of image processing techniques for accurate cell quantification.

Main Results:

  • Demonstration of a feasible protocol for tracking labeled murine immune cells in a mouse model.
  • Identification of critical parameters for successful cell labeling and imaging.
  • Establishment of a quantitative image processing pipeline for 19F MRI data.

Conclusions:

  • The presented protocol provides a robust and adaptable method for non-ionizing, quantitative in vivo cell tracking using 19F MRI.
  • The technique shows promise for applications in preclinical research and potential translation to human studies.
  • Adaptability to specific experimental conditions is emphasized for optimal implementation.