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. |
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| 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 |
| ISSN: | 1742-5662 |
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| DOI: | 10.1098/rsif.2025.0206 |
