Agent-based modelling of Pattern Formation in Pluripotent Stem Cells: Initial Experiments and Results

Minhong Wang; David Robertson; Guillaume Blin; Sally Lowell; Thanasis Tsanas

doi:10.1109/CISP-BMEI.2018.8633048

Agent-based modelling of Pattern Formation in Pluripotent Stem Cells: Initial Experiments and Results

Minhong Wang, David Robertson, Guillaume Blin, Sally Lowell, Thanasis Tsanas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

The underlying mechanisms of pluripotent stem cell behaviours are complicated and not fully understood. However, this need not be a barrier to prediction of pattern formation in colonies of cells if a high-level model of their social interaction decisions gives sufficient predictive power. This is analogous to prediction of behaviours in crowds of people, where we cannot model individuals in detail, but we can predict aggregate crowd behaviour from comparatively simple agent-based models of their social conventions. In this research, agent-based modelling was applied to study pattern formation in pluripotent stem cells. The aim of this study is to develop a modelling approach towards investigating the social and dynamic behaviours of pluripotent stem cells from their high-level features. We establish six agent-based models with different behavioural protocols and present the results of a set of experiments. Simulated experiments provide evidence of potential behavioural rules of stem cells. This study provides an intuitive framework for the investigation of social pattern behaviours in pluripotent stem cells.

Original language	English
Title of host publication	Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018
Editors	Qingli Li, Wei Li, Lipo Wang
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781538676042
DOIs	https://doi.org/10.1109/CISP-BMEI.2018.8633048
Publication status	Published - 1 Feb 2019
Event	11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018 - Beijing, China Duration: 13 Oct 2018 → 15 Oct 2018

Conference

Conference	11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018
Country/Territory	China
City	Beijing
Period	13/10/18 → 15/10/18

Keywords / Materials (for Non-textual outputs)

agent-based model
pattern formation
pluripotent stem cells

Access to Document

10.1109/CISP-BMEI.2018.8633048

Cite this

Wang, M., Robertson, D., Blin, G., Lowell, S., & Tsanas, T. (2019). Agent-based modelling of Pattern Formation in Pluripotent Stem Cells: Initial Experiments and Results. In Q. Li, W. Li, & L. Wang (Eds.), Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018 Article 8633048 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CISP-BMEI.2018.8633048

Wang, Minhong ; Robertson, David ; Blin, Guillaume et al. / Agent-based modelling of Pattern Formation in Pluripotent Stem Cells : Initial Experiments and Results. Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018. editor / Qingli Li ; Wei Li ; Lipo Wang. Institute of Electrical and Electronics Engineers, 2019.

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title = "Agent-based modelling of Pattern Formation in Pluripotent Stem Cells: Initial Experiments and Results",

abstract = "The underlying mechanisms of pluripotent stem cell behaviours are complicated and not fully understood. However, this need not be a barrier to prediction of pattern formation in colonies of cells if a high-level model of their social interaction decisions gives sufficient predictive power. This is analogous to prediction of behaviours in crowds of people, where we cannot model individuals in detail, but we can predict aggregate crowd behaviour from comparatively simple agent-based models of their social conventions. In this research, agent-based modelling was applied to study pattern formation in pluripotent stem cells. The aim of this study is to develop a modelling approach towards investigating the social and dynamic behaviours of pluripotent stem cells from their high-level features. We establish six agent-based models with different behavioural protocols and present the results of a set of experiments. Simulated experiments provide evidence of potential behavioural rules of stem cells. This study provides an intuitive framework for the investigation of social pattern behaviours in pluripotent stem cells.",

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Wang, M, Robertson, D, Blin, G , Lowell, S & Tsanas, T 2019, Agent-based modelling of Pattern Formation in Pluripotent Stem Cells: Initial Experiments and Results. in Q Li, W Li & L Wang (eds), Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018., 8633048, Institute of Electrical and Electronics Engineers, 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018, Beijing, China, 13/10/18. https://doi.org/10.1109/CISP-BMEI.2018.8633048

Agent-based modelling of Pattern Formation in Pluripotent Stem Cells: Initial Experiments and Results. / Wang, Minhong; Robertson, David; Blin, Guillaume et al.
Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018. ed. / Qingli Li; Wei Li; Lipo Wang. Institute of Electrical and Electronics Engineers, 2019. 8633048.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Agent-based modelling of Pattern Formation in Pluripotent Stem Cells

T2 - 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018

AU - Wang, Minhong

AU - Robertson, David

AU - Blin, Guillaume

AU - Lowell, Sally

AU - Tsanas, Thanasis

PY - 2019/2/1

Y1 - 2019/2/1

N2 - The underlying mechanisms of pluripotent stem cell behaviours are complicated and not fully understood. However, this need not be a barrier to prediction of pattern formation in colonies of cells if a high-level model of their social interaction decisions gives sufficient predictive power. This is analogous to prediction of behaviours in crowds of people, where we cannot model individuals in detail, but we can predict aggregate crowd behaviour from comparatively simple agent-based models of their social conventions. In this research, agent-based modelling was applied to study pattern formation in pluripotent stem cells. The aim of this study is to develop a modelling approach towards investigating the social and dynamic behaviours of pluripotent stem cells from their high-level features. We establish six agent-based models with different behavioural protocols and present the results of a set of experiments. Simulated experiments provide evidence of potential behavioural rules of stem cells. This study provides an intuitive framework for the investigation of social pattern behaviours in pluripotent stem cells.

AB - The underlying mechanisms of pluripotent stem cell behaviours are complicated and not fully understood. However, this need not be a barrier to prediction of pattern formation in colonies of cells if a high-level model of their social interaction decisions gives sufficient predictive power. This is analogous to prediction of behaviours in crowds of people, where we cannot model individuals in detail, but we can predict aggregate crowd behaviour from comparatively simple agent-based models of their social conventions. In this research, agent-based modelling was applied to study pattern formation in pluripotent stem cells. The aim of this study is to develop a modelling approach towards investigating the social and dynamic behaviours of pluripotent stem cells from their high-level features. We establish six agent-based models with different behavioural protocols and present the results of a set of experiments. Simulated experiments provide evidence of potential behavioural rules of stem cells. This study provides an intuitive framework for the investigation of social pattern behaviours in pluripotent stem cells.

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AN - SCOPUS:85062854328

BT - Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018

A2 - Li, Qingli

A2 - Li, Wei

A2 - Wang, Lipo

PB - Institute of Electrical and Electronics Engineers

Y2 - 13 October 2018 through 15 October 2018

ER -

Wang M, Robertson D, Blin G , Lowell S , Tsanas T. Agent-based modelling of Pattern Formation in Pluripotent Stem Cells: Initial Experiments and Results. In Li Q, Li W, Wang L, editors, Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018. Institute of Electrical and Electronics Engineers. 2019. 8633048 doi: 10.1109/CISP-BMEI.2018.8633048

Agent-based modelling of Pattern Formation in Pluripotent Stem Cells: Initial Experiments and Results

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