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Beckman Coulter
Ls 13 320

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Lab Devices
Beckman Coulter
Ls 13 320

Analyze LS 13 320 Laser Diffraction Particle Size Analyzer data with AI

Laser diffraction particle size analyzer for measuring particle size distributions from nanometers to millimeters

Size Range: 0.017 μm to 2000 μm

Technology: Laser diffraction with PIDS

Sample Types: Wet and dry measurements

Reproducibility: High precision measurements

Data Export: CSV, Excel export

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your LS 13 320 data into Sourcetable in 3 simple steps

Export Data

Export particle size distribution data from your LS 13 320 analyzer to CSV or Excel format
Upload to Sourcetable

Import your particle size analysis data into Sourcetable for comprehensive analysis
Start Analysis

Perform automated particle size distribution analysis and statistical characterization

File Format Compatibility

Optimized for particle size distribution analysis with statistical characterization and quality control

.csv

Raw Data

Full Support Size distributions, statistical parameters, volume/number distributions, quality metrics

.xlsx

Fully Formatted

Full Support Particle size reports with statistical analysis

Pre-built Analysis Workflows

Advanced workflows for particle size analysis and material characterization

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Particle Size Distribution

Comprehensive analysis of particle size distributions and statistical parameters

Particle Size Distribution Analysis Statistical Characterization

📊

Material Characterization

Advanced characterization of materials through particle size analysis

Material Characterization Quality Control Product Development

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Method Development

Development and optimization of particle size measurement methods

Method Development Optimization Validation

Technical Requirements

Software Dependencies

LS 13 320 Laser diffraction particle size analyzer
Control Software LS 13 320 software with PIDS
File Export Format CSV, Excel export
Applications Research, QC, material characterization

Sourcetable Libraries

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

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