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INDIANA: An in-cell diffusion method to characterize the size, abundance and permeability of cells.
Karunanithy, Gogulan; Wheeler, Richard J; Tear, Louise R; Farrer, Nicola J; Faulkner, Stephen; Baldwin, Andrew J.
Affiliation
  • Karunanithy G; Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, South Parks Road, Oxford OX1 3QZ, United Kingdom.
  • Wheeler RJ; Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford OX1 3SY, United Kingdom.
  • Tear LR; Chemistry Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford OX1 3TA, United Kingdom.
  • Farrer NJ; Chemistry Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford OX1 3TA, United Kingdom.
  • Faulkner S; Chemistry Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford OX1 3TA, United Kingdom.
  • Baldwin AJ; Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, South Parks Road, Oxford OX1 3QZ, United Kingdom. Electronic address: andrew.baldwin@chem.ox.ac.uk.
J Magn Reson ; 302: 1-13, 2019 05.
Article in En | MEDLINE | ID: mdl-30904779
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Membrane Permeability / Cells / Diffusion Magnetic Resonance Imaging / Cell Size Type of study: Health_economic_evaluation Limits: Animals / Humans Language: En Journal: J Magn Reson Journal subject: DIAGNOSTICO POR IMAGEM Year: 2019 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cell Membrane Permeability / Cells / Diffusion Magnetic Resonance Imaging / Cell Size Type of study: Health_economic_evaluation Limits: Animals / Humans Language: En Journal: J Magn Reson Journal subject: DIAGNOSTICO POR IMAGEM Year: 2019 Document type: Article Affiliation country: United kingdom