matlab-based cardiomyocyte tools Search Results


matlab-based cardiomyocyte tools  (MathWorks Inc)
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MathWorks Inc matlab-based cardiomyocyte tools
This flowchart illustrates how Cardio PyMEA can be operated in order to analyze <t>cardiomyocyte</t> MEA data.
Matlab Based Cardiomyocyte Tools, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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This flowchart illustrates how Cardio PyMEA can be operated in order to analyze cardiomyocyte MEA data.

Journal: PLoS ONE

Article Title: Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis

doi: 10.1371/journal.pone.0266647

Figure Lengend Snippet: This flowchart illustrates how Cardio PyMEA can be operated in order to analyze cardiomyocyte MEA data.

Article Snippet: Thus, the financial barrier inherent to developing MATLAB-based cardiomyocyte tools can be overcome by developing Python-based tools instead.

Techniques:

An individual 120 electrode MEA (A) was plated with cardiomyocytes (B). Field potentials were recorded (C) and analyzed to determine the R-wave-like peak, beat amplitude, T-wave endpoint, and other features. These field potentials showed varying levels of noise, ranging from clean (D) to moderately (E) or significantly (F) noisy, as indicated by the decreasing signal-to-noise (S/N) ratios. Beat detection was performed for all field potentials across all MEAs.

Journal: PLoS ONE

Article Title: Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis

doi: 10.1371/journal.pone.0266647

Figure Lengend Snippet: An individual 120 electrode MEA (A) was plated with cardiomyocytes (B). Field potentials were recorded (C) and analyzed to determine the R-wave-like peak, beat amplitude, T-wave endpoint, and other features. These field potentials showed varying levels of noise, ranging from clean (D) to moderately (E) or significantly (F) noisy, as indicated by the decreasing signal-to-noise (S/N) ratios. Beat detection was performed for all field potentials across all MEAs.

Article Snippet: Thus, the financial barrier inherent to developing MATLAB-based cardiomyocyte tools can be overcome by developing Python-based tools instead.

Techniques: