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Beckman Coulter
Ls 13 320 Xr

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Lab Devices
Beckman Coulter
Ls 13 320 Xr

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

Advanced laser diffraction system for high-resolution particle size analysis with PIDS technology

Size Range: 10 nm to 3500 μm

Detectors: 132 detectors for high resolution

Technology: PIDS technology for sub-micron accuracy

Dispersion: Wet and dry dispersion modules

Data Export: XLSX, TSV, PDF via ADAPT

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

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

Export Data

Export particle size data from your LS 13 320 XR via ADAPT software in Excel or text formats
Upload to Sourcetable

Import your laser diffraction data into Sourcetable for comprehensive analysis
Start Analysis

Perform automated particle size distribution and batch consistency analysis

File Format Compatibility

Optimized for high-resolution particle size analysis with regulatory compliance options

.xlsx

Fully Formatted

Full Support Volume and number distribution graphs, D10/D50/D90 percentile outputs, overlay comparisons

.csv

Raw Data

Full Support Raw particle size distribution data

Pre-built Analysis Workflows

Advanced workflows for particle characterization and formulation development

🔬

Particle Size Distribution

High-resolution particle size analysis with sub-micron accuracy

Particle Size High Resolution Sub-micron Analysis

📊

Batch Consistency

Batch-to-batch consistency comparison and quality control

Batch Consistency Quality Control Comparative Analysis

🧪

Formulation Development

Evaluation of milling and formulation effects on particle size

Formulation Development Milling Effects Process Optimization

Technical Requirements

Software Dependencies

LS 13 320 XR Laser diffraction analyzer with PIDS technology
Control Software ADAPT software with 21 CFR Part 11 compliance
File Export Format XLSX, TSV, PDF
Applications Pharma, materials science, formulation

Sourcetable Libraries

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

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