Multisizer 4e

Analyze Multisizer 4e Particle Counter and Sizer data with AI

Coulter Principle particle counter for precise cell and particle sizing with high-resolution analysis

Size Range: 0.2 μm to 1600 μm
Technology: Electrical sensing zone (Coulter Principle)
Resolution: 400-channel size histograms
Measurement: Count and concentration
Data Export: CSV, Excel export
Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your Multisizer 4e data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export particle counting and sizing data from your Multisizer 4e to CSV or Excel format

  • Step 2

    Upload to Sourcetable

    Import your particle analysis data into Sourcetable for comprehensive analysis

  • Step 3

    Start Analysis

    Perform automated particle size distribution and aggregation monitoring

File Format Compatibility

Optimized for particle size analysis with high-resolution distribution and statistical analysis

.csv

Raw Data

Full Support Volume and diameter distributions, statistical parameters, overlay comparisons

.xlsx

Fully Formatted

Full Support Particle analysis reports with statistical summaries

Pre-built Analysis Workflows

Advanced workflows for particle characterization and size distribution analysis

🔬

Particle Size Distribution

High-resolution particle size analysis with Coulter Principle detection

Particle Size Coulter Principle High Resolution
📊

Aggregation Monitoring

Detection and analysis of particle aggregation over time

Aggregation Monitoring Time Course Stability
🧪

Cell Size Analysis

Precise cell sizing under different experimental conditions

Cell Sizing Experimental Conditions Bioanalysis

Technical Requirements

Software Dependencies

  • Multisizer 4e Coulter Principle particle counter and sizer
  • Control Software Multisizer software for data collection
  • File Export Format CSV, Excel export
  • Applications Pharma, materials science, research

Sourcetable Libraries

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

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

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