In Vivo Cell Tracking
In Vivo Cell Tracking - Related Videos
10:05
In vivo 19F MRI for Cell Tracking
0 Views •
Cited by 21 •
2013
We describe a general protocol for in vivo cell tracking using MRI in a mouse model with ex vivo labeled cells. A typical protocol for cell labeling, image acquisition processing and quantification is included.
08:41
Femur Window Chamber Model for In Vivo Cell Tracking in the Murine Bone Marrow
0 Views •
Cited by 8 •
2016
The protocol describes a novel murine femur window chamber model that can be used to track movement of cells in the femoral bone marrow in vivo. Intravital multiphoton fluorescence microscopy is used to image three components of the femoral bone marrow (vasculature, collagen matrix, and neutrophils) over time.
13:36
A Practical Approach to Genetic Inducible Fate Mapping: A Visual Guide to Mark and Track Cells In Vivo
0 Views •
Cited by 16 •
2009
Genetic Inducible Fate Mapping (GIFM) marks and tracks cells with fine spatial and temporal control in vivo and elucidates how cells from a specific genetic lineage contribute to developing and adult tissues. Demonstrated here are the techniques required to fate map E12.5 mouse embryos for epifluorescent and explant analysis.
02:44
An In Vivo Technique to Track Bispecific Antibody-Induced T Cell Trafficking to Tumors
0 Views •
2025
This video demonstrates a method for tracking bispecific antibody-induced T cell trafficking to tumors in a mouse model. Luciferase-transduced effector T cells are injected into a mouse with a subcutaneous tumor cell xenograft. Bispecific antibodies are then introduced, binding to T cells and the tumor cells. The localization of the T cells is tracked using bioluminescent imaging, with the magnitude of the signal indicating the extent of T cell infiltration into the tumor.
12:08
Tracking Mouse Bone Marrow Monocytes In Vivo
0 Views •
Cited by 6 •
2015
Monocytes are key regulators of innate immunity and play a critical role in the renewal of the peripheral mononuclear phagocytic system and in case of inflammation. This manuscript describes the procedure of real time imaging of the mouse calvaria bone marrow to study the monocyte mobilisation mechanism.
FAQs
Labels act as detectable tracers attached to or expressed by the cells being followed. Fluorescent dyes and reporter genes produce signals suitable for optical detection, whereas nanoparticles or other tracers can be paired with magnetic resonance imaging or positron emission tomography. The selected label therefore determines which imaging approach can reveal cell location and behavior over time.
Time-resolved observations can separate several biologically important outcomes, including migration, persistence, proliferation, and interactions with surrounding tissues. A cell population may move to a new site, remain detectable, increase in extent, or associate with neighboring tissue. Distinguishing these patterns helps researchers interpret biological processes that a single fixed tissue sample cannot capture.
Fixed tissue provides a snapshot, while In Vivo Cell Tracking follows cellular events across multiple points in time. This temporal perspective can show whether cells remain, relocate, proliferate, or participate in changing tissue interactions. The approach is especially valuable when biological behavior depends on sequence and duration rather than on location at one isolated time point.
The tracer and detection system must be compatible. Fluorescent dyes or reporter genes are observed with intravital microscopy, while nanoparticles or other tracers may be detected with magnetic resonance imaging or positron emission tomography. This pairing allows the same biological question, such as cell movement or persistence, to be examined using an imaging method suited to the chosen signal.
A general workflow begins by selecting the cell population and a suitable label, followed by introducing or identifying those labeled cells within the living organism. Researchers then collect observations with intravital microscopy, bioluminescence imaging, magnetic resonance imaging, or positron emission tomography. Comparing observations over time reveals changes in location, persistence, proliferation, or tissue interaction.
Applications include studying immune responses, development, cancer progression, and regenerative medicine. In cell-based therapy research, tracking can help evaluate whether administered cells persist, migrate, proliferate, or interact with surrounding tissues. These observations support interpretation of treatment behavior and contribute to improved understanding of disease mechanisms and tissue repair processes.