RTCA CardioECR Software
Focused analysis of cardiomyocyte function with high sensitivity and precision
- The user-friendly RTCA CardioECR Software provides outstanding instrument control for flexible experiment setups, data acquisition, and data analysis.
- The software works under two modes: Real-Time mode and Offline data analysis mode.
- For Research Use Only. Not for use in diagnostic procedures.
- Real-time monitoring of the cardiomyoycte contractile activities and general health
- Analyzing cardiomyoycte beating rate, beating amplitude and beating irregularity
- Providing quantitative data to assess compound cardio liabilty
Overview
How it works
Record plate layout
Using an intuitive graphical interface, the contents/conditions of each well in the electronic microplate (E-Plate) are recorded (Figure 1). Information fields for the wells include cell type, cell number, drug identity, drug concentration, etc. Table autofilling functions, similar to excel or other spreadsheet programs, are available. These functions enable rapid data entry and automatic establishment of drug concentration gradients, cell number titrations, etc. Even when multiple cell types and assay conditions are being examined, it takes just minutes to record the information for every well in a plate.
Figure 1. Zoomed in screenshot of table for recording the contents/conditions of each well in an E-Plate CardioECR 48
Define data acquisition parameters & Run experiment
Using a second table, the details of electrical stimulation and data acquisition are defined. These include:
- Defining experimental mode: impedance only, impedance + field potential, or electrical pacing stimulus only
- Defining the pulse type and frequency of the electrical pacing stimulus
- Defining the duration of impedance and field potential data acquisition
Press “Run” and watch as impedance and field potential data are acquired simultaneously in real time for every well in the plate. Even as data is being acquired, it can be viewed and graphically manipulated.
Figure. Data analysis using the CardioECR software. (A) Quantifying field potential duration in the presence and absence of drug. (B) Using impedance traces to quantify cardiomyocyte beating rate and amplitude in the presence and absence of drug.
Data plotting & analysis
Using an intuitive graphical interface, the real-time impedance and field potential data for all the wells, or a subset of wells, from the E-Plate can be plotted (Figure 2A). Data from multiple wells can be averaged and the coefficient of variation can be automatically calculated and plotted. The viewing window for the X- and Y-axis can be readily adjusted, and data traces can be normalized to a specific time point (for example, immediately before drug addition. By zooming in on a short time range it is possible to view the rhythmic fluctuation in impedance and field potential associated with cardiomyocyte beating (Figure 2B). Impedance and field potential traces can be viewed individually or can be overlaid on one another.
Figure 2. Data plotting and analysis using the CardioECR software. (A) Screenshot of data plotting/analysis window. Here, all of the curves have been normalized to the time point immediately preceding drug treatment (denoted by the bold back vertical line). Error bars represent coefficients of variation. (B) Viewing cardiomyocyte contraction (red, green, blue, and pink traces) and field potential (black traces). By zooming in on a shorter time range (the time points inside the red box in part “A”), it is possible to view the rhythmic fluctuation of impedance and integrated ion channel activity associated with cardiomyocyte beating. Though shown overlapped here, the impedance and field potential traces can be viewed individually.
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News
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Agilent xCELLigence Real-Time Cell Analysis (RTCA) technology supports the testing of accuracy and reliability in AUCATZYL, a recently approved CAR T therapy by Autolus Therapeutics. The xCELLigence RTCA technology supported the development and implementation of the potency assay. By providing precise and reliable cell analysis capabilities, Agilent supported Autolus's efforts in establishing robust analytical methods.
15 Jul 2025