amaZon speed

Analyze Bruker amaZon speed Ion Trap LC-MS/MS data with AI

High-speed 3D ion trap LC-MS/MS for metabolomics and proteomics

Design Features: 3D quadrupole ion trap design
Specification: Fast polarity switching capability
Sample Handling: MSⁿ multi-stage fragmentation
Specification: ETD for proteomics applications
Specification: Smart fragmentation strategies
Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your amaZon speed data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export MS/MS spectra from your amaZon speed via DataAnalysis to mgf or CSV format for identification

  • Step 2

    Upload to Sourcetable

    Import your ion trap MS/MS data and compound identifications into Sourcetable for analysis

  • Step 3

    Start Analysis

    Perform automated MS/MS spectral analysis and generate comprehensive identification reports

File Format Compatibility

Complete support for amaZon speed ion trap data including MSⁿ spectral analysis and compound identification for metabolomics applications.

.csv

Raw Data

Full Support Export compound identification lists and MS/MS data Compound identifications, MSⁿ spectra, fragment ions, peptide sequences

Pre-built Analysis Workflows

Ion trap LC-MS/MS workflows for metabolomics and targeted proteomics with automated fragmentation and identification.

🔬

MS/MS Analysis

Multi-stage fragmentation for structural elucidation

MS/MS Fragmentation Structural
📊

Peptide Sequencing

De novo peptide sequencing via ion trap fragmentation

Peptide Sequencing De-novo

Metabolite ID

Automated metabolite identification via spectral libraries

Metabolite Identification Libraries

Technical Requirements

Software Dependencies

  • amaZon speed 3D quadrupole ion trap LC-MS/MS with ETD capability
  • Control Software Bruker DataAnalysis, ProteinScape
  • File Export Format Bruker .d, mgf, CSV
  • Applications Metabolomics research, targeted proteomics, small molecule analysis

Sourcetable Libraries

  • Data Processing pandas, numpy
  • Statistical Analysis scipy, statsmodels
  • Visualization matplotlib, plotly
  • Specialized Analysis pyteomics, seaborn

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Clean, shape, and structure data with AI, formulas, or code. Sourcetable helps you go from raw input to ready-to-use datasets in seconds.

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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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