ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2019
INDIANA: An in-cell diffusion method to characterize the size, abundance and permeability of cells.
Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Quantifying Transmembrane Water Exchange by Diffusion NMR Methods: From Yeast Cells to Optic Nerve Ex Vivo.NMR in biomedicine · 2026Article
- LLPS REDIFINE allows the biophysical characterization of multicomponent condensates without tags or labels.Nature communications · 2025Article
- Molecular Imaging with Aquaporin-Based Reporter Genes: Quantitative Considerations from Monte Carlo Diffusion Simulations.ACS synthetic biology · 2023Article
- Molecular imaging with aquaporin-based reporter genes: quantitative considerations from Monte Carlo diffusion simulations.bioRxiv : the preprint server for biology · 2023Article
- Low-field 1H NMR parameterization of model cell suspensions. A diffusion and relaxation study.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2022Article
- Cell-permeable lanthanide-platinum(IV) anti-cancer prodrugs.Dalton transactions (Cambridge, England : 2003) · 2021Article
- A single-shot measurement of time-dependent diffusion over sub-millisecond timescales using static field gradient NMR.The Journal of chemical physics · 2021Article
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Authors and funding
6 authors.
Funding
Abstract
NMR and MRI diffusion experiments contain information describing the shape, size, abundance, and membrane permeability of cells although extracting this information can be challenging. Here we present the INDIANA (IN-cell DIffusion ANAlysis) method to simultaneously and non-invasively measure cell abundance, effective radius, permeability and intrinsic relaxation rates and diffusion coefficients within the inter- and intra-cellular populations. The method couples an experimental dataset comprising stimulated-echo diffusion measurements, varying both the gradient strength and the diffusion delay, together with software to fit a model based on the Kärger equations to robustly extract the relevant parameters. A detailed error analysis is presented by comparing the results from fitting simulated data from Monte Carlo simulations, establishing its effectiveness. We note that for parameters typical of mammalian cells the approach is particularly effective, and the shape of the underlying cells does not unduly affect the results. Finally, we demonstrate the performance of the experiment on systems of suspended yeast and mammalian cells. The extracted parameters describing cell abundance, size, permeability and relaxation are independently validated.
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