Direct Measurement of Contraction Force in Cardiac Tissue Construct in 2D-Plane Using Dual Axis Cantilever Sensor

In this work, we present a technique for a dual axis contraction force measurement of human cell based cardiac tissue constructs. The cardiac tissue constructs consist of a vascular-like network and induced pluripotent stem cell derived cardiomyocytes. Before the force measurements, the cardiac tiss...

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Veröffentlicht in:IEEE sensors journal 2021-02, Vol.21 (3), p.2702-2711
Hauptverfasser: Virtanen, Juhani, Koivisto, Maria, Toimela, Tarja, Vehkaoja, Antti, Heinonen, Tuula, Tuukkanen, Sampo
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container_end_page 2711
container_issue 3
container_start_page 2702
container_title IEEE sensors journal
container_volume 21
creator Virtanen, Juhani
Koivisto, Maria
Toimela, Tarja
Vehkaoja, Antti
Heinonen, Tuula
Tuukkanen, Sampo
description In this work, we present a technique for a dual axis contraction force measurement of human cell based cardiac tissue constructs. The cardiac tissue constructs consist of a vascular-like network and induced pluripotent stem cell derived cardiomyocytes. Before the force measurements, the cardiac tissue constructs were detached from the culture substrate to allow less restricted contraction. The in-house prepared force sensors are composed of piezoelectric sensing elements and a metallic cantilever for contacting the cardiac tissue constructs. A dedicated measurement platform with embedded signal processing software is used for data acquisition from the sensors. Dual axis force sensor results are compared with our previously developed single axis force sensor technique. Additionally, the proposed dual axis force measurement system can measure two-dimensional displacement trajectories of the cantilever probe tip. We propose a pattern matching method for classification of the captured cardiac contraction cycle patterns and for extracting anomalies in the measured cycles. We demonstrate both single and dual axis peak cardiac construct contraction force measurement results in the ranges of 3.4 - 6.7~\mu \text{N} and 9.4 - 10.6~\mu \text{N} , respectively. The relative standard deviation of the peak contraction force results varied between 1.0 and 4.1% in eight captured 60 second measurement sequences.
doi_str_mv 10.1109/JSEN.2020.3027857
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The cardiac tissue constructs consist of a vascular-like network and induced pluripotent stem cell derived cardiomyocytes. Before the force measurements, the cardiac tissue constructs were detached from the culture substrate to allow less restricted contraction. The in-house prepared force sensors are composed of piezoelectric sensing elements and a metallic cantilever for contacting the cardiac tissue constructs. A dedicated measurement platform with embedded signal processing software is used for data acquisition from the sensors. Dual axis force sensor results are compared with our previously developed single axis force sensor technique. Additionally, the proposed dual axis force measurement system can measure two-dimensional displacement trajectories of the cantilever probe tip. We propose a pattern matching method for classification of the captured cardiac contraction cycle patterns and for extracting anomalies in the measured cycles. 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The cardiac tissue constructs consist of a vascular-like network and induced pluripotent stem cell derived cardiomyocytes. Before the force measurements, the cardiac tissue constructs were detached from the culture substrate to allow less restricted contraction. The in-house prepared force sensors are composed of piezoelectric sensing elements and a metallic cantilever for contacting the cardiac tissue constructs. A dedicated measurement platform with embedded signal processing software is used for data acquisition from the sensors. Dual axis force sensor results are compared with our previously developed single axis force sensor technique. Additionally, the proposed dual axis force measurement system can measure two-dimensional displacement trajectories of the cantilever probe tip. We propose a pattern matching method for classification of the captured cardiac contraction cycle patterns and for extracting anomalies in the measured cycles. 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subjects Anomalies
cardiac construct
Cardiac tissue
Construction planning
Contraction force measurement
data processing
Force
Force measurement
Force sensors
hiPSC
Imaging
Pattern matching
Piezoelectricity
Probes
Sensors
Signal processing
Stem cells
Substrates
Trajectory measurement
title Direct Measurement of Contraction Force in Cardiac Tissue Construct in 2D-Plane Using Dual Axis Cantilever Sensor
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