GS-800

Analyze GS-800 Calibrated Densitometer data with AI

Scanning and quantification of electrophoretic gels and blots (legacy system)

Specification: Calibrated densitometry scanning
Wavelength Range: Broad dynamic range
Control Software: Quantity One software compatibility
Specification: 50 µm resolution
Specification: Legacy system support
Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your GS-800 data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export your gel densitometry results from Quantity One software to CSV or TIFF format.

  • Step 2

    Upload to Sourcetable

    Import your densitometry data into Sourcetable for quantitative analysis.

  • Step 3

    Start Analysis

    Perform automated band intensity analysis and densitometry calibration with customizable reports.

File Format Compatibility

Complete support for GS-800 densitometry data with specialized analytics for protein gel analysis and nucleic acid quantification.

.csv

Raw Data

Full Support Densitometry analysis data export Band intensity values, optical density measurements, calibration data

.tiff

Image Data

Processing Required High-resolution scanned images Calibrated images, densitometry scans, publication quality

Pre-built Analysis Workflows

Specialized workflows for gel densitometry analysis including protein quantification and autoradiograph analysis.

🔬

Protein Gel Densitometry

Quantitative analysis of protein bands with calibration standards

📊

Band Intensity Analysis

Statistical analysis of band intensities across multiple samples

Autoradiograph Analysis

Quantification of radioactive signals in autoradiographs

Technical Requirements

Software Dependencies

  • Quantity One Software Bio-Rad's legacy gel analysis software
  • File Export Format CSV, TIFF
  • Resolution 50 µm scanning resolution
  • Applications Protein gel densitometry, nucleic acid quantification, autoradiograph analysis

Sourcetable Libraries

  • Data Processing pandas, numpy
  • Statistical Analysis scipy, statsmodels
  • Visualization matplotlib, plotly
  • Specialized Analysis Image analysis tools, densitometry libraries

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