Ksep 50

Analyze Sartorius Ksep 50 data with AI

Automated Centrifuge (Perfusion) for cell therapy, biotech process dev applications

Key Features: Low-shear cell harvest, closed single-use bowl, automated cell wash and concentration, minimal cell damage
Industry Applications: Cell therapy, biotech process dev
Target Users: Process engineer; Manufacturing associate
Export Method: Export run logs via Ksep software (CSV)
Export Formats: CSV
Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your Ksep 50 data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export your results from Ksep 50 as CSV format. Current process typically takes 1–2 hours (manual cell count & spin).

  • Step 2

    Upload to Sourcetable

    Import your data directly into Sourcetable for analysis. Our streamlined process reduces analysis time significantly.

  • Step 3

    Start Analysis

    Perform automated analysis and generate comprehensive reports. Complete analysis now takes just 15 min.

File Format Compatibility

Ksep 50 provides comprehensive data export capabilities for automated centrifuge (perfusion) and statistical analysis integration.

.csv

Raw Data

Full Support Export measurement data and results in CSV format for analysis Measurement values, timestamps, sample identifiers, method parameters

Pre-built Analysis Workflows

Ksep 50 enables advanced analytical workflows for cell therapy, biotech process dev applications.

📊

Cell recovery yield calculations

Cell recovery yield calculations

⚗️

Viability vs g-force analysis

Viability vs g-force analysis

📈

Optimization of harvest parameters

Optimization of harvest parameters

Technical Requirements

Software Dependencies

  • Ksep 50 Low-shear cell harvest, closed single-use bowl, automated cell wash and concentration, minimal cell damage
  • File Export Format CSV
  • Export Method Export run logs via Ksep software (CSV)
  • Applications Cell therapy, biotech process dev

Sourcetable Libraries

  • Data Processing pandas, numpy
  • Statistical Analysis scipy, statsmodels
  • Visualization matplotlib, plotly
  • Specialized Analysis pandas, numpy

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Data Science

Sourcetable fuses AI smarts with Python’s full analytical power, so you can clean, query, model, and visualize data without switching tools or writing a single line of code. It’s everything you need, right where you need it.

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Visualizations

Turn data into charts & graphs instantly. Sourcetable helps you explore trends, uncover patterns, and present insights, automatically or on your terms.

Visualizations

Manipulate Data

Clean, shape, and structure data with AI, formulas, or code. Sourcetable helps you go from raw input to ready-to-use datasets in seconds.

Manipulate Data

Get Insights

Ask questions in plain English, generate charts instantly, use Python for custom logic, and tap into built-in research tools for deeper insights.

Get Insights
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