How to Baseline Correct Mass Spectrometry Data Using Python and Peakutils 

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You saved my life, brother. thank you so much. Greetings from Brazil

Excelente, justo lo que estaba buscando

Any idea why there's a large "background peak"/hump in the data between 650 and 800? I also have that in my mass spectrometer data

Amazing video!!

Please note, the example data given does not seem to actually have a non-linear baseline. The apparent baseline in the higher range seems to be solely due to the overlap of the gaussians from insufficient resolution and separation. As a simple example, try to graph exp(-9 x^2) + exp(-9 (x-1)^2), you'll see in the middle of this plot at about 1/2, there seems to be an elevated baseline of about 1/5 or so, but clearly there isn't one from the formula of the graph. When performing data transformations like this, you should be careful, as attempting to eliminate a fake baseline such as this can move your peaks in relation to each other in both the x and y directions (in the example given, it moves your peaks away from each other slightly and shrinks them), causing unnecessary systematic errors.

I have spent months trying to do BC with gpt and it does not work good, the code does not corrected all the peaks from my NIR spectra data. I'm going to try with your tutorial I Believe that i have some of hope that it work this time. Thank you so much. Oh, I almost forget the detrending. Can you make a tutorial about detrending?

What if the baseline has a periodical behavior?

When I insert peakutils, it says no module named peakutils. why is it so?