We are using MH Quant, Qual and Unknowns rev 10. Have you seen documentation on how data is deskewed before deconvolution is done in Unknowns ? Is the deskewing process the same in Quant Target Deconvolution and in Qual Find > Find by Chromatogram Deconvolution ?
Thank You
The Deconvolution algorithm used by the MassHunter software, which is basically identical between all MassHunter applications, does not have to do a classical deskew of the spectra to account for ion heights being different by mass on the rising and falling side of a peak. The algorithm extracts an EIC of each mass in the spectra and uses peak apex similarity to group "EIC peaks" together to create a compound spectra.
Thanks tom_barrett. With the deconvolution algoritm basically identical across MH, we'll have to look elsewhere for the differences we are seeing across MH applications.
Is the "peak apex similarity to group" explained in any publication ? As long time AMDIS users it has been our understanding from NIST that quad skewed data had to be deskewed or the EIC apices would never align.
Are you aware of any publication that explains what differences a user should see when comparing deconvolution results from the various Agilent offerings, that is: DRS w/AMDIS vs MH Qual vs MH Unknowns vs MH Quant Target Deconvolution ?
This pub would save us a lot of time as we are considering moving to MH in multiple labs.
Thank You
I know of no document that compares AMDIS to MassHunter deconvolution.
Thanks. I'll post as a new question to the Community. Perhaps someone has done a comparison.
The Deconvolution algorithm used by the MassHunter software, which is basically identical between all MassHunter applications, does not have to do a classical deskew of the spectra to account for ion heights being different by mass on the rising and falling side of a peak. The algorithm extracts an EIC of each mass in the spectra and uses peak apex similarity to group "EIC peaks" together to create a compound spectra.