Stuart Johnston
Stuart Johnston
Postdoctoral Research Fellow, University of Melbourne
Verified email at
TitleCited byYear
Estimating cell diffusivity and cell proliferation rate by interpreting IncuCyte ZOOM™ assay data using the Fisher-Kolmogorov model
ST Johnston, ET Shah, LK Chopin, DLS McElwain, MJ Simpson
BMC Systems Biology 9 (38), 2015
How much information can be obtained from tracking the position of the leading edge in a scratch assay?
ST Johnston, MJ Simpson, DLS McElwain
Journal of the Royal Society Interface 11 (97), 20140325, 2014
Mean-field descriptions of collective migration with strong adhesion
ST Johnston, MJ Simpson, RE Baker
Physical Review E 85 (5), 051922, 2012
Interpreting scratch assays using pair density dynamics and approximate Bayesian computation
ST Johnston, MJ Simpson, DLS McElwain, BJ Binder, JV Ross
Open Biology 4 (9), 140097, 2014
Lattice-free descriptions of collective motion with crowding and adhesion
ST Johnston, MJ Simpson, MJ Plank
Physical Review E 88 (6), 062720, 2013
Quantifying the effect of experimental design choices for in vitro scratch assays
ST Johnston, JV Ross, BJ Binder, DLS McElwain, P Haridas, MJ Simpson
Journal of Theoretical Biology 400, 19-31, 2016
Co-operation, competition and crowding: a discrete framework linking Allee kinetics, nonlinear diffusion, shocks and sharp-fronted travelling waves
ST Johnston, RE Baker, DLS McElwain, MJ Simpson
Scientific reports 7, 42134, 2017
Modelling the movement of interacting cell populations: a moment dynamics approach
ST Johnston, MJ Simpson, RE Baker
Journal of Theoretical Biology 370, 81-92, 2015
Self-Assembly of Nano-to Macroscopic Metal–Phenolic Materials
G Yun, QA Besford, ST Johnston, JJ Richardson, S Pan, M Biviano, ...
Chemistry of Materials 30 (16), 5750-5758, 2018
An analytical approach for quantifying the influence of nanoparticle polydispersity on cellular delivered dose
ST Johnston, M Faria, EJ Crampin
Journal of The Royal Society Interface 15 (144), 20180364, 2018
Filling the gaps: A robust description of adhesive birth-death-movement processes
ST Johnston, RE Baker, MJ Simpson
Physical Review E 93 (4), 042413, 2016
Revisiting cell–particle association in vitro: A quantitative method to compare particle performance
M Faria, KF Noi, Q Dai, M Björnmalm, ST Johnston, K Kempe, F Caruso, ...
Journal of Controlled Release 307, 355-367, 2019
The impact of short-and long-range perception on population movements
ST Johnston, KJ Painter
Journal of theoretical biology 460, 227-242, 2019
A new and accurate continuum description of moving fronts
ST Johnston, RE Baker, MJ Simpson
New Journal of Physics 19 (3), 033010, 2017
Selective Metal–Phenolic Assembly from Complex Multicomponent Mixtures
G Lin, MA Rahim, MG Leeming, C Cortez-Jugo, QA Besford, Y Ju, ...
ACS applied materials & interfaces 11 (19), 17714-17721, 2019
Corrected pair correlation functions for environments with obstacles
ST Johnston, EJ Crampin
Physical Review E 99 (3), 032124, 2019
Predicting population extinction in lattice-based birth-death-movement models
ST Johnston, MJ Simpson, EJ Crampin
arXiv preprint arXiv:2002.05357, 2020
Quantifying the Influence of Nanoparticle Polydispersity on Cellular Delivered Dose
S Johnston, M Faria, E Crampin
Biophysical Journal 116 (3), 33a, 2019
Kinetic Modeling of Nanoparticle-Cell Association
M Faria, K Noi, S Johnston, Y Ju, M Björnmalm, F Caruso, EJ Crampin
Biophysical Journal 116 (3), 445a, 2019
Isolating the sources of heterogeneity in nanoparticle-cell interactions
ST Johnston, M Faria, EJ Crampin
BioRxiv, 817569, 2019
The system can't perform the operation now. Try again later.
Articles 1–20