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Published on: April 8, 2015
Cell quantification: evolution of compartmentalization and distribution of iron-oxide particles and labeled cells
Gyula Kotek1, Sandra T van Tiel, Piotr A Wielopolski
1Department of Radiology, Erasmus MC, Rotterdam, The Netherlands. g.kotek@erasmusmc.nl
Abstract:
The purpose of the study was to show the feasibility of quantification in the case of cell death, cell migration and cell division by parametric MRI. We identify limitations for quantitative cell tracking owing to mixed parallel processes. Various intravoxel SPIO-labeled cell, super paramagnetic iron oxide particles (SPIO) and micron-sized paramagnetic iron oxide (MPIO) particle distributions were prepared by methods mimicking biologically relevant processes (compartmentalization, migration, division and cell death). R(2)* and R(2) relaxometry measurements were performed at 3.0 T; iron concentration was measured by optical emission spectrometry. The effects of spatial distribution and compartmentalization of paramagnetic iron-oxide particles on relaxivity were analyzed. Assessment of R(2)' (R(2)*-R(2)) allowed differentiation between intracellular and extracellular SPIO only if no high-iron-content extracellular particles were present. Relaxivity was sensitive to variations in cell labeling. Samples of the same cell types embedded in the same suspension media at the same cell density produced different relaxivity values, depending on the preparation of the labeled cells. In the case of cell division, a unique relationship between relaxation rate and iron concentration was found, where the relaxivity proved to be independent of initial cell labeling. In case of cell mixing, the cell density could be derived from relaxation values, even if iron concentration was undetermined. We demonstrated that relaxometry does not allow labeled cell quantification when multiple physiological processes such as cell division and cell migration coexist. The measured transversal relaxation rates were sensitive to the labeling technique. However, under special circumstances, despite the numerous limiting factors, quantification of the number of labeled cells by relaxometry was feasible.
Insights
Parametric MRI shows potential for quantifying cell processes like division, but limitations exist with mixed biological events. While relaxometry is sensitive to cell labeling, quantification is feasible under specific conditions.
Area of Science:
- Biomedical Imaging
- Magnetic Resonance Imaging
- Cellular Biology
Background:
- Quantitative cell tracking is crucial for understanding biological processes.
- Paramagnetic iron oxide particles (SPIO, MPIO) are used as contrast agents in MRI.
- Assessing cell death, migration, and division requires accurate quantification methods.
Purpose of the Study:
- To evaluate the feasibility of quantifying cell death, migration, and division using parametric MRI.
- To identify limitations in quantitative cell tracking due to concurrent biological processes.
- To analyze the effects of particle distribution and cell preparation on relaxometry.
Main Methods:
- Preparation of SPIO- and MPIO-labeled cells mimicking biological processes.
- R(2)* and R(2) relaxometry measurements at 3.0 T.
- Iron concentration measurement using optical emission spectrometry.
Main Results:
- Relaxivity is sensitive to particle distribution, compartmentalization, and cell labeling techniques.
- Differentiation between intracellular and extracellular SPIO was possible only under specific conditions.
- A unique relationship between relaxation rate and iron concentration was observed during cell division, independent of initial labeling.
- Cell density could be determined from relaxation values in mixed cell populations, even without known iron concentration.
Conclusions:
- Parametric MRI relaxometry faces limitations in quantifying labeled cells when multiple physiological processes (e.g., division, migration) occur simultaneously.
- While sensitive to labeling methods, relaxometry can achieve cell quantification under specific circumstances, despite influencing factors.

