Measurements and System Identification for the Characterization of Smooth Muscle Cell Dynamics
Dilan Ozturk, Pepijn Saraber, Kevin Bielawski, Alessandro Giudici,, Leon Schurgers, Koen Reesink, Maarten Schoukens

TL;DR
This paper presents a novel frequency-domain system identification approach combined with nano-indentation measurements to analyze the dynamics of vascular smooth muscle cells, aiding tissue disease understanding and reducing animal testing.
Contribution
It introduces a new framework integrating advanced system identification techniques with indentation measurements for cellular dynamic analysis.
Findings
Effective characterization of smooth muscle cell dynamics
Potential to reduce animal testing in tissue research
Insights into cellular mechanisms underlying vascular diseases
Abstract
Biological tissue integrity is actively maintained by cells. It is essential to comprehend how cells accomplish this in order to stage tissue diseases. However, addressing the complexity of a cell's system of interrelated mechanisms poses a challenge. This necessitates a well-structured identification framework and an effective integration of measurements. Here we introduce the use of state-of-the-art frequency-domain system identification techniques combined with an indentation measurement platform to analyze the underlying mechanisms from the perspective of control system theory. The ultimate goal is to explore how mechanical and biological factors are related in induced Pluripotent Stem Cell-derived vascular smooth muscle cells. We study on the frequency-domain analysis for the investigation and characterization of cellular dynamics of smooth muscle cells from the measured data. The…
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