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Medical software PolyTools 2.0
for spectrometryanalysisvisualization

Medical software - PolyTools 2.0 - Bruker Daltonics Inc. - for spectrometry / analysis / visualization
Medical software - PolyTools 2.0 - Bruker Daltonics Inc. - for spectrometry / analysis / visualization
Medical software - PolyTools 2.0 - Bruker Daltonics Inc. - for spectrometry / analysis / visualization - image - 2
Medical software - PolyTools 2.0 - Bruker Daltonics Inc. - for spectrometry / analysis / visualization - image - 3
Medical software - PolyTools 2.0 - Bruker Daltonics Inc. - for spectrometry / analysis / visualization - image - 4
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Characteristics

Applications
medical, for spectrometry
Function
analysis, visualization, import, simulation, interpretation

Description

Industry standard software for the analysis of polymer mass spectrometry data including Kendrick Mass Defect plots Straightforward results Average masses and end groups with one click Polymer MS spectra interpretation done the easy way Easy to use Right after data transfer PolyTools will calculate the characteristic values Mn and Mw of the polymer and makes suggestions for end group combinations. Versatility Direct data import from Brukers MALDI-TOF processing software flexAnalysis. Polymer spectra form other mass spectrometers can be analyzed via CSV export. Visualization Simple homopolymer spectra can be easily analyzed by the simulation on detected series in the spectrum view. For complex spectra, different options of the visualization via the Kendrick Mass Defect supports the spectrum interpretation. Reliability The use of fully adaptable monomer and end group lists reduces the risk of false spectra interpretation. Polytools Software for MS polymer data analysis PolyTools can directly use peak lists created with flexAnalysis or other Bruker programs, or from other sources. PolyTools will automatically determine the monomer, end groups and cation that produced the measured mass spectrum. If isotopes are resolved in the peak list, lines belonging to the isotope distribution are identified and can be reduced to a monoisotopic series. For every series, the average molecular weights Mn and Mw, the dispersity ĐM and degree of polymerization are determined and suggestions for the end groups are made. New stick spectra calculated from all these data are displayed, together with the experimental spectrum for comparison.

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