.csv
Raw Data
Full Support
Export cell culture data with growth parameters and monitoring information
Cell growth curve analysis, viability trend, feeding schedule monitoring
Analyze WAVE Bioreactor System 2/10 Rocking Single-use Bioreactor data with AI
Culturing cells in rocking disposable bag bioreactor
Volume:
10 L
Instrument Type:
Basic integrated controller for small-scale cultivation
Features:
Optional pH/DO monitoring capabilities
Instrument Type:
USB export with optional Wave controller software
Features:
Suitable for mammalian and insect cell culture
Get Started For Free
Fully compatible with Sourcetable
Quick Start Integration
Get your WAVE Bioreactor System 2/10 data into Sourcetable in 3 simple steps
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Export Data
Export your cell culture data from WAVE Bioreactor via Wave controller software to CSV or PDF format
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Upload to Sourcetable
Import your cell growth and culture data into Sourcetable for analysis
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Start Analysis
Perform automated cell growth curve analysis and viability trend monitoring
File Format Compatibility
WAVE Bioreactor System 2/10 provides growth curve logs with simple trend graphs and run logs with setpoint vs actual comparisons.
Report Format
Supported
Export cell culture reports with trend visualization
Growth curve logs (VCD vs time), simple trend graphs, run log documentation
Pre-built Analysis Workflows
WAVE Bioreactor System 2/10 enables small-scale cell culture workflows for research and process development with disposable technology.
🔬
Cell Culture
Culture mammalian and insect cells in rocking disposable bag bioreactor for research applications
📊
Growth Analysis
Monitor cell growth curves and analyze viability trends over culture time
⚡
Process Development
Develop cell culture processes with small-scale disposable bioreactor technology
Technical Requirements
Software Dependencies
- Wave Controller Software Optional PC software for data logging and control
- File Export Format CSV, PDF
- Transfer Method USB export
- Applications Biotech, Academic cell culture
Sourcetable Libraries
- Data Processing pandas, numpy
- Statistical Analysis scipy, statsmodels
- Visualization matplotlib, plotly
- Specialized Analysis Cell culture analytics, growth kinetics, bioprocess monitoring
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