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Quantifying biological heterogeneity in nano-engineered particle-cell interaction experiments.

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Title: Quantifying biological heterogeneity in nano-engineered particle-cell interaction experiments.
Authors: Murphy RJ; UniSA STEM, The University of South Australia, Mawson Lakes, South Australia 5095, Australia.; School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria 3010, Australia., Faria M; Department of Biomedical Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia., Osborne JM; School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria 3010, Australia., Johnston ST; School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria 3010, Australia.
Source: Journal of the Royal Society, Interface [J R Soc Interface] 2025 Sep; Vol. 22 (230), pp. 20250206. Date of Electronic Publication: 2025 Sep 17.
Publication Type: Journal Article
Journal Info: Publisher: Royal Society Country of Publication: England NLM ID: 101217269 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1742-5662 (Electronic) Linking ISSN: 17425662 NLM ISO Abbreviation: J R Soc Interface Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Murphy+RJ%22">Murphy RJ</searchLink>; UniSA STEM, The University of South Australia, Mawson Lakes, South Australia 5095, Australia.; School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria 3010, Australia.<br /><searchLink fieldCode="AU" term="%22Faria+M%22">Faria M</searchLink>; Department of Biomedical Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia.<br /><searchLink fieldCode="AU" term="%22Osborne+JM%22">Osborne JM</searchLink>; School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria 3010, Australia.<br /><searchLink fieldCode="AU" term="%22Johnston+ST%22">Johnston ST</searchLink>; School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria 3010, Australia.
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  Data: <searchLink fieldCode="JN" term="%22101217269%22">Journal of the Royal Society, Interface</searchLink> [J R Soc Interface] 2025 Sep; Vol. 22 (230), pp. 20250206. <i>Date of Electronic Publication: </i>2025 Sep 17.
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        Value: 10.1098/rsif.2025.0206
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      – Code: eng
        Text: English
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      – TitleFull: Quantifying biological heterogeneity in nano-engineered particle-cell interaction experiments.
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              M: 09
              Text: 2025 Sep
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              Y: 2025
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