Data Rebinning

Data Rebinning
Data binnig is useful to reduce the amount of data, without loosing important information. Spectromania allows to select the desired bin size. This choice depends on the native resolution of the spectra and processing power of the computer used for data analysis.
Furthermore data binning allows to allign the data, which is a prerequiste for statistical analysis. As an alternative Spectromania also offers the possibility to allign data to a reference spectrum.
The figures (click to enlarge) show the data quality after data reduction. Data reduction leads to significant increase in processing performance, without loosing important information. The spectra were aquired with a ABI 4700 mass spectrometer in reflectron mode. The suitable bin-size depends on various factors resolution of the raw data or the processing power of the system.

Raw Data

The figure shows a gel-like view (top) of a mass spectrometric spectra (bottom, red). The resolution is sufficient to reveal the isotopic pattern of the substance.

Bin size: 0.2 Dalton

The data is reduced to a bin size of 0.2 Dalton.

Bin size: 0.1 Dalton

The data is reduced to a bin size of 0.1 Dalton. The lost of information is minimal, but the data size is significantly reduced.
Performance gain
In order to demonstrate the increase in performance speed 110 mass spectra were binned and processed (baseline correction). The graphs shows the gain in performance after binning of data (shorter bars are better):