Supervised Detection

Supervised Detection uses the peak detection results from a designated sample as supervisory data to guide the peak detection in other samples.

Initially, the chromatograms of the supervisor and the target samples, which are subject to new peak detection, are aligned using the RT Alignment Tolerance parameter. This alignment adjusts the RT (retention time) of the chromatograms within limits that do not exceed the specified RT Alignment Tolerance.

Subsequently, the peak region – ranging from the left to the right endpoints of the peaks – are estimated in the target samples’ aligned chromatograms, based on the supervisor’s peak region. When the ‘Apply peak shape estimation’ parameter, designated as a part of the Detection Criteria, is enabled, peaks are identified such that they closely match the shape of the supervisor’s peak. For the target sample’s chromatogram, various potential peak shapes near the supervisor’s peak region are considered, and the peak most closely resembling the supervisor’s peak shape is identified.

If the ‘Apply peak shape estimation’ parameter is disabled, the peak region from the supervisor data is directly adopted as a peak in the chromatogram of the target sample after alignment. It is crucial to understand that although a peak with the same width as the supervisor’s will be detected, achieving a peak shape that closely resembles the supervisor’s peak is not ensured.

Supervised Detection is available for use during both new analyses and re-analyses and can be initiated from the Dashboard at any time. For setup and operation details, please refer to the Detection Criteria Page, Reanalysis, Peak Operations sections.

Analyses using the results of a specific sample’s ‘parameter-based detection’ as a supervisor can be conducted using any of the three aforementioned methods. Conversely, for analyses that utilize manually edited peaks as supervisors, it is recommented to executed Supervised Detection from the Dashboard.