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Beckman Coulter
Cell Lab Quanta Sc

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Lab Devices
Beckman Coulter
Cell Lab Quanta Sc

Analyze Cell Lab Quanta SC Flow Cytometer data with AI

Flow cytometer combining electronic volume measurement and fluorescence for absolute cell counting and viability analysis

Technology: UV Coulter volume measurement + 2 fluorescence channels

Counting: Absolute counts and viability via dye exclusion

Autosampler: Optional 96-well plate autosampler

Volume Detection: Electronic volume measurement capability

Data Export: CSV summaries via Quanta software

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your Cell Lab Quanta SC data into Sourcetable in 3 simple steps

Export Data

Export cell analysis data from your Cell Lab Quanta SC via Quanta software to CSV
Upload to Sourcetable

Import your volume and fluorescence data into Sourcetable for analysis
Start Analysis

Perform automated viability assessment and cell size distribution analysis

File Format Compatibility

Optimized for combined volume and fluorescence analysis with absolute cell counting

.csv

Raw Data

Full Support Combined volume vs fluorescence scatter plots, viability gating, cell size distribution, population statistics

Pre-built Analysis Workflows

Specialized workflows for viability assessment and cell cycle analysis

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Viability Assessment

Combined volume and fluorescence analysis for accurate viability determination

Viability Assessment Volume Measurement Dye Exclusion

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Cell Size Distribution

Electronic volume-based cell size distribution analysis

Cell Size Distribution Volume Analysis Size Characterization

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Cell Cycle Analysis

DNA content analysis for cell cycle phase determination

Cell Cycle Analysis DNA Content Phase Distribution

Technical Requirements

Software Dependencies

Cell Lab Quanta SC Flow cytometer with UV Coulter volume + 2 fluorescence
Control Software Quanta software for data analysis
File Export Format CSV summaries via Quanta software
Applications Academic research, clinical research

Sourcetable Libraries

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

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