Mapping Cell Viability Quantitatively and Independently From Cell Density in 3D Gels Noninvasively
IEEE Transactions on Biomedical Engineering, vol. 68, pp. 2940–2947
Abstract
Objective:In biomanufacturing there is a need for quantitative methods to map cell viability and density inside 3D bioreactors to assess health and proliferation over time. Recently, noninvasive MRI readouts of cell density have been achieved. However, the ratio of live to dead cells was not varied. Herein we present an approach for measuring the viability of cells embedded in a hydrogel independently from cell density to map cell number and health.Methods:Independent quantification of cell viability and density was achieved by calibrating the$\boldsymbol{^1}$H magnetization transfer- (MT) and diffusion-weighted NMR signals to samples of known cell density and viability using a multivariate approach. Maps of cell viability and density were generated by weighting NMR images by these parameters post-calibration.Results:Using this method, the limits of detection (LODs) of total cell density and viable cell density were found to be$\boldsymbol{3.88 \times 10^{8}}$cells$\boldsymbol{\cdot }$mL$\boldsymbol{^{-1}\cdot }$Hz$\boldsymbol{^{-1/2}}$and$\boldsymbol{2.36 \times 10^{9}}$viable cells$\boldsymbol{\cdot }$mL$\boldsymbol{^{-1}\cdot }$Hz$\boldsymbol{^{-1/2}}$respectively.Conclusion:This mapping technique provides a noninvasive means of visualizing cell viability and number density within optically opaque bioreactors.Significance:We anticipate that such nondestructive readouts will provide valuable feedback for monitoring and controlling cell populations in bioreactors.
Authors 14
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University of California, Los Angeles
Affiliation as printed
Department of Bioengineering, University of California, Los Angeles, USA
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University of California System
Affiliation as printed
Department of Medicine, Division of Cardiology, University of California, USA
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University of California, Los Angeles
Affiliation as printed
Department of Chemistry and Biochemistry, University of California, Los Angeles, USA
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University of California, Los Angeles
Affiliation as printed
Department of Chemistry and Biochemistry, University of California, Los Angeles, USA
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Affiliation as printed
Cedars-Sinai Medical Center, USA
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University of California, Los Angeles
Affiliation as printed
Department of Chemistry and Biochemistry, University of California, Los Angeles, USA
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Affiliation as printed
Department of Chemical Engineering, Chemical Process Engineering, RWTH Aachen University, Germany
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Affiliation as printed
Department of Chemical Engineering, Chemical Process Engineering, RWTH Aachen University, Germany
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Affiliation as printed
Institute of Technical and Macromolecular Chemistry, RWTH Aachen University, Germany
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Affiliation as printed
Department of Chemical Engineering, Chemical Process Engineering, RWTH Aachen University, Germany
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Affiliation as printed
Institute of Technical and Macromolecular Chemistry, RWTH Aachen University, Germany
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Affiliation as printed
Institute of Technical and Macromolecular Chemistry, RWTH Aachen University, Germany
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Affiliation as printed
Department of Cell and Developmental Biology, Northwestern University, USA
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University of California, Los Angeles
Affiliation as printed
Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, USA
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