Open YUANMENG-1 opened 1 week ago
Did this have some paper?
hi,
The algorithm for peak detection based on signal accumulation lines is a prevalent approach within the field of signal processing. This methodology is extensively utilized in biological image processing applications, such as the detection of cell and tissue boundaries. Nevertheless, its application for peak detection in liquid chromatography-mass spectrometry is not routine, as the prevailing technique for deconvolution analysis in LCMS remains curve fitting methods.
An implementation of the signal accumulation line method is available within the mzkit software, and we have conducted a series of tests that have yielded promising results. I will furnish you with detailed test outcomes in due course and will ensure to inform you accordingly. Your attention to the progress of this endeavor would be appreciated.
Chromatogram data calls the PopulateROI
function for finding ROI peaks:
https://github.com/xieguigang/mzkit/blob/402ade786b1a653ad10429ab3a366ae501e5f200/src/mzmath/mz_deco/Deconvolution.vb#L81
then function PopulateROI
reference to the ElevationAlgorithm
module for find signal peaks:
https://github.com/xieguigang/mzkit/blob/402ade786b1a653ad10429ab3a366ae501e5f200/src/mzmath/mz_deco/Signals/Chromatogram/AccumulateROI.vb#L120
where finnaly in ElevationAlgorithm
module use the method of signal accumulation lines for finding the signal peaks as the LCMS peak ROI output:
https://github.com/xieguigang/sciBASIC/blob/bebb0a718729db13725bf593b08ad7b32b9fe938/Data_science/Mathematica/SignalProcessing/SignalProcessing/PeakFinding/Algorithm.vb#L96
The above algorithm invocation process has been encapsulated as a public API in an mzkit_hpc R# language package, allowing for the method to be called through script programming.
I would like to ask if there are existing tools that use this principle for peak lifting, if not, do you plan to build new upstream analysis tools based on this?