Dr Stuart Johnston

  • Room: Level: 03 Room: 11
  • Building: Old Geology South
  • Campus: Parkville

Research interests

  • Cell migration
  • Collective behaviour
  • Mathematical modelling
  • Nanoparticles
  • Stochastic modelling

Recent publications

  1. Johnston S, Crampin E. Corrected pair correlation functions for environments with obstacles. PHYSICAL REVIEW E. American Physical Society. 2019, Vol. 99, Issue 3. DOI: 10.1103/PhysRevE.99.032124
  2. Faria M, Noi K, Johnston S, Ju Y, Bjornmalm M, Caruso F, Crampin E. Kinetic Modeling of Nanoparticle-Cell Association. 63rd Annual Meeting of the Biophysical-Society. Biophysical Society. 2019, Vol. 116, Issue 3. DOI: 10.1016/j.bpj.2018.11.2399
  3. Johnston S, Faria M, Crampin E. Quantifying the Influence of Nanoparticle Polydispersity on Cellular Delivered Dose. 63rd Annual Meeting of the Biophysical-Society. Biophysical Society. 2019, Vol. 116, Issue 3. DOI: 10.1016/j.bpj.2018.11.221
  4. Johnston S, Painter KJ. The impact of short- and long-range perception on population movements.. J Theor Biol. Academic Press. 2019, Vol. 460. DOI: 10.1016/j.jtbi.2018.10.031
  5. Johnston S, Faria M, Crampin E. An analytical approach for quantifying the influence of nanoparticle polydispersity on cellular delivered dose. JOURNAL OF THE ROYAL SOCIETY INTERFACE. The Royal Society Publishing. 2018, Vol. 15, Issue 144. DOI: 10.1098/rsif.2018.0364
  6. Johnston S. MATHEMATICAL MODELS for QUANTIFYING COLLECTIVE CELL BEHAVIOUR. Bulletin of the Australian Mathematical Society. Cambridge University Press. 2018, Vol. 97, Issue 2. DOI: 10.1017/S0004972717001149
  7. Yun G, Besford Q, Johnston S, Richardson J, Pan S, Biviano M, Caruso F. Self-Assembly of Nano- to Macroscopic Metal–Phenolic Materials. Chemistry of Materials. American Chemical Society. 2018, Vol. 30, Issue 16. DOI: 10.1021/acs.chemmater.8b02616
  8. Johnston S, Baker RE, Simpson MJ. A new and accurate continuum description of moving fronts. New Journal of Physics. Institute of Physics Publishing. 2017, Vol. 19, Issue 3. DOI: 10.1088/1367-2630/aa5bf5
  9. Johnston S, Baker RE, McElwain DLS, Simpson MJ. Co-operation, Competition and Crowding: A Discrete Framework Linking Allee Kinetics, Nonlinear Diffusion, Shocks and Sharp-Fronted Travelling Waves.. Sci Rep. Nature Publishing Group. 2017, Vol. 7. DOI: 10.1038/srep42134
  10. Johnston S, Baker RE, Simpson MJ. Filling the gaps: A robust description of adhesive birth-death-movement processes.. Phys Rev E. American Physical Society. 2016, Vol. 93, Issue 4. DOI: 10.1103/PhysRevE.93.042413
  11. Johnston S, Ross JV, Binder BJ, Sean Mcelwain DL, Haridas P, Simpson MJ. Quantifying the effect of experimental design choices for in vitro scratch assays.. J Theor Biol. Academic Press. 2016, Vol. 400. DOI: 10.1016/j.jtbi.2016.04.012
  12. Johnston S, Shah ET, Chopin LK, Sean Mcelwain DL, Simpson MJ. Estimating cell diffusivity and cell proliferation rate by interpreting IncuCyte ZOOMâ„¢ assay data using the Fisher-Kolmogorov model.. BMC Syst Biol. Biomed Central. 2015, Vol. 9, Issue 1. DOI: 10.1186/s12918-015-0182-y
  13. Johnston S, Simpson MJ, Baker RE. Modelling the movement of interacting cell populations: a moment dynamics approach.. J Theor Biol. Academic Press. 2015, Vol. 370. DOI: 10.1016/j.jtbi.2015.01.025
  14. Johnston S, Simpson MJ, McElwain DLS. How much information can be obtained from tracking the position of the leading edge in a scratch assay?. J R Soc Interface. 2014, Vol. 11, Issue 97. DOI: 10.1098/rsif.2014.0325
  15. Johnston S, Simpson MJ, McElwain DLS, Binder BJ, Ross JV. Interpreting scratch assays using pair density dynamics and approximate Bayesian computation.. Open Biol. The Royal Society Publishing. 2014, Vol. 4, Issue 9. DOI: 10.1098/rsob.140097

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile