PeakFit helps users separate overlapping peaks by statistically fitting numerous peak functions to one data set, which can help you find even the most obscure patterns in your data. The background can be fit as a separate polynomial, exponential, logarithmic, hyperbolic or power model. This fitted baseline is then subtracted before peak characterization data (such as areas) is calculated, which gives much more accurate results. And any noise (like you get with electrophoretic gels or Raman spectra) that might bias raw data calculations is filtered simply by the nonlinear curve fitting process. Nonlinear curve fitting is essential for accurate peak analysis and accurate research.

Features include:

·         PeakFit Offers Sophisticated Data Manipulation

·         Highly Advanced Baseline Subtraction

·         Full Graphical Placement of Peaks

·         Publication-Quality Graphs and Data Output.