Cydem VT System

Analyze Cydem VT Automated Clone Screening System data with AI

Parallel cultivation and monitoring system for clone screening with integrated sensors and walk-away operation

Configuration: 24-deep-well plate bioreactor (96 cultures total)
Sensors: On-deck viability, pH, DO, and titer sensors
Operation: 3-day walk-away operation
Automation: Integrated cultivation and monitoring
Data Export: CSV experiment data
Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your Cydem VT System data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export centralized time-course data from your Cydem VT System via system software to CSV

  • Step 2

    Upload to Sourcetable

    Import your clone screening data into Sourcetable for comprehensive analysis

  • Step 3

    Start Analysis

    Perform automated growth kinetics modeling and clone performance ranking

File Format Compatibility

Optimized for clone screening with time-course analysis and multi-parameter data aggregation

.csv

Raw Data

Full Support Time-course plots of growth & titer, automated growth rate calculations, multi-parameter aggregation

Pre-built Analysis Workflows

Advanced workflows for clone screening and cell line development

🔬

Clone Screening

Parallel cultivation and screening of cell culture clones

Clone Screening Parallel Cultivation Cell Line Development
📊

Growth Kinetics

Comprehensive growth kinetics modeling and productivity analysis

Growth Kinetics Productivity Analysis Mathematical Modeling
🎯

Clone Ranking

Multi-factor clone performance ranking and selection

Clone Ranking Performance Assessment Selection Criteria

Technical Requirements

Software Dependencies

  • Cydem VT System Automated clone screening with integrated sensors
  • Control Software Cydem system software for data collection
  • File Export Format CSV experiment data
  • Applications Biopharma, cell line development

Sourcetable Libraries

  • Data Processing pandas, numpy
  • Statistical Analysis scipy, statsmodels
  • Visualization matplotlib, plotly
  • Kinetics Modeling scikit-learn, seaborn

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