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 | 118 | 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 | 75 | 2018 |
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 | 74 | 2014 |
Mean-field descriptions of collective migration with strong adhesion ST Johnston, MJ Simpson, RE Baker Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (5 …, 2012 | 72 | 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 | 59 | 2014 |
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 | 55 | 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 (1), 42134, 2017 | 54 | 2017 |
Lattice-free descriptions of collective motion with crowding and adhesion ST Johnston, MJ Simpson, MJ Plank Physical Review E 88 (6), 062720, 2013 | 46 | 2013 |
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 | 36 | 2018 |
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 | 31 | 2019 |
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 | 27 | 2015 |
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 | 26 | 2019 |
Unpacking the Allee effect: determining individual-level mechanisms that drive global population dynamics NT Fadai, ST Johnston, MJ Simpson Proceedings of the Royal Society A 476 (2241), 20200350, 2020 | 22 | 2020 |
Spatio-temporal analysis of nanoparticles in live tumor spheroids impacted by cell origin and density A Ahmed-Cox, E Pandzic, ST Johnston, C Heu, J McGhee, FM Mansfeld, ... Journal of Controlled Release 341, 661-675, 2022 | 20 | 2022 |
Understanding nano-engineered particle–cell interactions: biological insights from mathematical models ST Johnston, M Faria, EJ Crampin Nanoscale Advances 3 (8), 2139-2156, 2021 | 19 | 2021 |
Isolating the sources of heterogeneity in nano-engineered particle–cell interactions ST Johnston, M Faria, EJ Crampin Journal of the Royal Society Interface 17 (166), 20200221, 2020 | 14 | 2020 |
Modelling collective navigation via non-local communication ST Johnston, KJ Painter Journal of the Royal Society Interface 18 (182), 20210383, 2021 | 10 | 2021 |
Capturing and Quantifying Particle Transcytosis with Microphysiological Intestine‐on‐Chip Models LC Delon, M Faria, Z Jia, S Johnston, R Gibson, CA Prestidge, B Thierry Small Methods 7 (1), 2200989, 2023 | 9 | 2023 |
Predicting population extinction in lattice-based birth–death–movement models ST Johnston, MJ Simpson, EJ Crampin Proceedings of the Royal Society A 476 (2238), 20200089, 2020 | 8 | 2020 |
Corrected pair correlation functions for environments with obstacles ST Johnston, EJ Crampin Physical Review E 99 (3), 032124, 2019 | 8 | 2019 |