The World's Leading PTR-MS Trace Analyzers Company

IONICON Data Analyzer (IDA)

The powerful and fast Data Analysis Suite

IDA is the new platform to visualize, analyze and manage your IONICON TOF-MS projects


  • IDA offers a user-friendly interface with dynamic elements to focus on relevant analysis steps only.
  • IDA is based on state-of-the-art data analysis algorithms and offers quick and reliable analysis progress.
  • IDA features a modular software concept that allows for a futureproof expandability with tailor-made plug-ins to support YOUR data analysis.


  • Easy to use, fast and reliable
  • Full multicore computation support
  • Resource-saving system requirements

Key Features:

  • Software solutions for a targeted and untargeted high resolution peak analysis including an automatic isobaric peak deconvolution and an assignment to chemical compositions based on exact masses and isotopic distribution patterns.
  • Data reduction includes software assisted tools for mass axis re-calibration, peak-shape calculation, mass resolution determination and a full baseline correction based on your data-acquisition time.
  • Quantify your data with a series of dedicated software tools and benefit from IONICON’s more than two decades of experience in ion chemistry.


IDA is now available! Ask our sales team for a licence quote.

Technical specifications

Performance Example: Data Analysis of 1 day of 10 Hz data

Dataset Information

Duration [h]

Acquisition frequency [Hz]

Dataset Dimension

Files [#]




862,470 x 132,132


IDA 2.1 Progress*:

Project [mm:ss]

Data Analysis [mm:ss]

Quantification [mm:ss]

Total [mm:ss]






Results Information:

Analysis-to-Acquisition Time

Identified Peaks [#]

Auto-assigned Formulas [#]






*Windows 10, Intel® Core™ i7-12700 (12 cores), 16 GB RAM, SSD SK hynix PC801 512 GB; analysis times do not include user-inputs.
System Recommendations: Windows 10/11, >8 GB RAM, SSD, 4 physical CPU cores, IoniTOF 4.0 or newer.

Related Publications:

Müller, M. et al., 2013.

Müller, M. et al., 2011.

Titzmann, T. et al., 2010.