In vivo 19F MRI for Cell Tracking

作者： Mangala Srinivas1, Philipp Boehm-Sturm2, Markus Aswendt2, Eberhard D. Pracht2,3, Carl G. Figdor1, I. Jolanda de Vries1, Mathias Hoehn2 1Department of Tumor Immunology, Nijmegen Center for Molecular Life Sciences,Radboud University Medical Center, 2In-Vivo-NMR Laboratory,Max Planck Institute for Neurological Research, 3German Center for Neurodegenerative Diseases (DZNE)

简介：

Overview

This article describes a protocol for in vivo cell tracking using MRI in a mouse model with ex vivo labeled cells. The procedure focuses on imaging and quantifying 19F labeled cells in vivo, which can be applied in both clinical and preclinical settings.

Key Study Components

Area of Science

• Neuroscience
• Imaging Techniques
• Cell Tracking

Background

• In vivo imaging is crucial for understanding cell behavior in living organisms.
• 19F MRI allows for non-invasive tracking of labeled cells.
• Ex vivo labeling of cells is a common practice to prepare them for imaging.
• Quantification of labeled cells is essential for accurate analysis.

Purpose of Study

• To develop a reliable method for tracking 19F labeled cells in vivo.
• To quantify the 19F content per cell using MRI techniques.
• To provide a protocol that can be utilized in various research settings.

Methods Used

• Labeling cells with a suitable 19F agent ex vivo.
• Using 19F MRI for imaging the labeled cells in vivo.
• Quantifying 19F content per cell with a known reference.
• Calculating correction factors if 19F content varies during the experiment.

Main Results

• The protocol successfully tracks 19F labeled cells in vivo.
• Quantification methods yield reliable data on cell content.
• The study demonstrates the feasibility of using 19F MRI in both clinical and preclinical settings.
• Correction factors can be applied when necessary to maintain accuracy.

Conclusions

• The developed protocol enhances the ability to track and quantify cells in vivo.
• 19F MRI is a valuable tool for researchers in cell tracking studies.
• Future applications may expand to various fields within neuroscience and biology.

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