Sussex Research Online: No conditions. Results ordered -Date Deposited. http://sro.sussex.ac.uk/ http://sro.sussex.ac.uk/images/sitelogo.png Sussex Research Online: No conditions. Results ordered -Date Deposited. http://sro.sussex.ac.uk/ Tue, 21 Nov 2023 22:32:08 +0000 Tue, 21 Nov 2023 22:32:08 +0000 en Sun, 06 Dec 2015 12:45:14 +0000 Computational methods for investigating cell motility with applications to neutrophil cell migration http://sro.sussex.ac.uk/id/eprint/56990/ http://sro.sussex.ac.uk/id/eprint/56990/ Blazakis, Konstantinos N (2015) Computational methods for investigating cell motility with applications to neutrophil cell migration. Doctoral thesis (PhD), University of Sussex. Fri, 05 Jun 2015 15:55:07 +0100 Whole cell tracking through the optimal control of geometric evolution laws http://sro.sussex.ac.uk/id/eprint/50657/ http://sro.sussex.ac.uk/id/eprint/50657/ Blazakis, Konstantinos N, Madzvamuse, Anotida, Reyes-Aldasoro, Constantino-Carlos, Styles, Vanessa and Venkataraman, Chandrasekhar (2015) Whole cell tracking through the optimal control of geometric evolution laws. Journal of Computational Physics, 297. pp. 495-514. ISSN 0021-9991 Fri, 13 Feb 2015 11:37:21 +0000 An optimal control approach to cell tracking http://sro.sussex.ac.uk/id/eprint/52916/ http://sro.sussex.ac.uk/id/eprint/52916/ Blazakis, K, Reyes-Aldasoro, C C, Styles, V, Venkataraman, C and Madzvamuse, A (2015) An optimal control approach to cell tracking. In: Louis, Alfred K, Arridge, Simon and Rundell, Bill (eds.) Proceedings of the Inverse Problems from Theory to Applications Conference (IPTA2014). IOP Publishing Ltd, pp. 74-77. ISBN 9780750311069