Capillary electrophoresis software DAx
laboratoryanalysisacquisition

Capillary electrophoresis software - DAx - Prince Technologies B.V. - laboratory / analysis / acquisition
Capillary electrophoresis software - DAx - Prince Technologies B.V. - laboratory / analysis / acquisition
Capillary electrophoresis software - DAx - Prince Technologies B.V. - laboratory / analysis / acquisition - image - 2
Capillary electrophoresis software - DAx - Prince Technologies B.V. - laboratory / analysis / acquisition - image - 3
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Characteristics

Applications
capillary electrophoresis, laboratory
Function
analysis, acquisition

Description

DAx - Instrumental analysis in chemistry has reached high levels of sophistication. Many powerful separation techniques are available, with our capillary electrophoresis systems. All these techniques still require two crucial final steps to generate interpretable results: Data Acquisition and Data Analysis. DAx takes care of both. DAx has excellent Data Acquisition qualifications: Supports different brands of AD/DA cards & hardware Multi channel data acquisition Hierarchical measurement linking Measurement sequence lists for use with automatic sample changers Automatic Analysis upon completion of measurement Various measurement triggering methods can be programmed with this software which allows full control of the PrinCE/-C 200, 400, 500 and 600 series from your computer. DAx Data Acquisition This Windows based software package uses the information in the WinPrinCE worklist to acquire and analyse the data generated from each sample run. The package contains many CE-specific data handling parameters such as mobility values and mobility correction. Data Manipulation Filtering can be done with moving average, Savitzky-Golay or optimum (Fourier) filters. Very powerful data overlays for comparison and identification purposes. Overlays can be scaled, off set and stretched to give the best data overlap. Data can easily be moved between windows with drag and drop operations. Baselines and Peaks All the integration parameters can be derived from the measurement data automatically. From the initial measurement data, baselines are constructed so the peaks are easily found above or below the constructed baseline.

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