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Autoflex Max

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Lab Devices
Bruker
Autoflex Max

Analyze Bruker autoflex maX MALDI-TOF/TOF Mass Spectrometer data with AI

High-throughput MALDI-TOF/TOF for proteomics and polymer analysis

Specification: TOF/TOF capabilities for MS/MS

Source Configuration: smartbeam laser up to 2 kHz

Specification: High-throughput target plate system

Control Software: flexControl software integration

Specification: Automated calibration

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your autoflex maX data into Sourcetable in 3 simple steps

Export Data

Export MALDI mass spectra from your autoflex maX via flexAnalysis to CSV format for peak analysis
Upload to Sourcetable

Import your MALDI-TOF data and protein identification results into Sourcetable for analysis
Start Analysis

Perform automated peptide mass fingerprinting and generate comprehensive proteomics analysis reports

File Format Compatibility

Complete support for autoflex maX MALDI-TOF data including peptide mass fingerprinting and polymer analysis for proteomics applications.

.csv

Raw Data

Full Support Export MALDI peak lists and identification results Peak masses, protein identifications, polymer distributions, MS/MS fragment data

Pre-built Analysis Workflows

High-throughput MALDI workflows for proteomics and biochemistry with automated peak processing and identification.

🔬

Peptide Mass Fingerprinting

Protein identification via peptide mass fingerprinting analysis

Peptide Fingerprinting Identification

📊

Polymer Analysis

Molecular weight distribution analysis of polymers

Polymer Distribution MW

⚡

MS/MS Sequencing

Structural characterization via tandem mass spectrometry

MS/MS Sequencing Structure

Technical Requirements

Software Dependencies

autoflex maX MALDI MALDI-TOF/TOF mass spectrometer with smartbeam laser
Control Software flexControl, flexAnalysis software
File Export Format Bruker .flex, CSV, XML
Applications Proteomics research, biochemistry, polymer analysis

Sourcetable Libraries

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

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