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Image Search Results
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
Techniques:
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
Techniques: