NDLI: Time Lapse Observation Based Modeling and Identification of Cell Behaviors in Angiogenic Sprout Development

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Levi, B. Wood Roger, D. Kamm Asada, H. Harry
Copyright Year	2010
Abstract	This paper presents a method for deriving dynamic equations for Endothelial Cell (EC) motion and estimating parameters based on time lapse imagery of angiogenic sprout development. Angiogenesis is the process whereby a collection of endothelial cells sprout out from an existing blood vessel, degrade the surrounding scaffold and form a new blood vessel. Sprout formation requires that a collection of ECs all work together and coordinate their movements and behaviors. The process is initiated and guided by a collection of external growth factors. In addition, the individual cells communicate and respond to each other’s movements to behave in a coordinated fashion. The mechanics of cell coordination are extremely complex and include both chemical and mechanical communication between cells and between cells and the matrix. Despite the complexity of the physical system, with many variables that cannot be measured in real time, the ECs behave in a predictable manner based on just a few quantities that can be measured in real time. This work presents a methodology for constructing a set of simple stochastic equations for cell motion dependent only on quantities obtained from time lapse data observed from in vitro experiments. Model parameters are identified from time lapse data using a Maximum Likelihood Estimator.
Sponsorship	Dynamic Systems and Control Division
Starting Page	357
Ending Page	364
Page Count	8
File Format	PDF
ISBN	9780791844175
DOI	10.1115/DSCC2010-4139
e-ISBN	9780791838846
Volume Number	ASME 2010 Dynamic Systems and Control Conference, Volume 1
Conference Proceedings	ASME 2010 Dynamic Systems and Control Conference
Language	English
Publisher Date	2010-09-12
Publisher Place	Cambridge, Massachusetts, USA
Access Restriction	Subscribed
Subject Keyword	Blood vessels Parameter estimation Equations of motion Modeling Endothelial cells
Content Type	Text
Resource Type	Article

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