Peak Identification

Peak identification must find out the unknown number, positions and form parameters of peaks, which constitute a real measurement	Black line Original data Grey solid: Superresolution Green lines: Peaks Blue pins: Position/area-flags

Peak identification with ProAnalysi::PEAKS includes

• Isolate individual Peaks from the data
  After superresolutiuon, all peaks can be recongnized directly and automatically by their maxima.
• Report areas and form-parameters
  Hundreds of peaks can be iterated within seconds.
• Report statistical errors
  Any iteration automatically reports the range-of-confidence for every parameter. The iteration procedures
  are optimized especially for the evaluation of peak areas.
• Intuitive access to all peaks in mouse-only-mode. No burdensome keytyping.
  All peaks can be created, manipulated, deleted an iterated in interactive graphics._

ProAnalysi::PEAKS implements three models for peak fitting

Directfit. Sum of peaks = original data	Usage Find positions, areas and form-parameters of all real peaks. Iterative speed: medium
Heartfit. Sum of peaks = Superresolution	Usage Find positons and areas of all peaks skip form-parameters. Iterative speed: fast.
Convolved fit. Convolution of (Sum of peaks) = original data	Usage Find positions, areas and form-parameters of the 'true heart-function'. Iterative speed: slow.