Kadochnikova, A., Isles, H.M., Renshaw, S.A. orcid.org/0000-0003-1790-1641 et al. (1 more author) (2018) Estimation of hidden chemoattractant field from observed cell migration patterns. In: Rojas, C., (ed.) IFAC-PapersOnLine. 18th IFAC Symposium on System Identification SYSID 2018, 09-11 Jul 2018, Stockholm, Sweden. IFAC , pp. 766-771.
Abstract
Neutrophilic chemotaxis is essential to immune system response to external threats. During this process cells alternate between directed motion towards the higher concentration of external stimuli and correlated random walk. An individual neutrophil migration can thus be characterised as a stochastic dynamical process driven by an external chemotactic environment that is typically not measured. This introduces the problem of estimating spatially-varying chemoattractant concentration field from the observed migration patterns of cell populations. We propose a solution to this estimation problem in a statistical inference framework. The framework has measured cell positions in the field as inputs and employs the expectation-maximisation algorithm for joint estimation of full cell states and parameters of the chemoattractant field decomposed with cubic B-splines. The performance of the developed algorithm is accessed via process in vivo measurements of cell positions in the injured tail fin of zebrafish. Estimation results for different injury types evidence that the proposed estimation algorithm provides a rigorous connection between mathematical modelling and experimental data.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018 IFAC (International Federation of Automatic Control). Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Parameter estimation; maximum likelihood methods; basis functions; filtering; smoothing; biological systems |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) The University of Sheffield > Sheffield Teaching Hospitals |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Nov 2018 12:13 |
Last Modified: | 13 Dec 2018 10:41 |
Published Version: | https://doi.org/10.1016/j.ifacol.2018.09.161 |
Status: | Published |
Publisher: | IFAC |
Refereed: | Yes |
Identification Number: | 10.1016/j.ifacol.2018.09.161 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:138794 |