massLens is a deep leaning tool to accurately capture the intensity of small molecules (metabolites) of Mass Spectrometry data. Any experiment that involves organic molecules likely uses a mass spectrometer, can be messy and requires manual curation and interpretation.
Resources for more information on the technical aspects:
Avi Swartz, Allen Ross, Ali Rahnavard, "Mass spectrometry signal quantification using supervised deep learning".
Can start with raw data from mass spectrometer or mzml format
Trained models are available with instruction to be used
Below is an example of the actual start and end of metabolites (red) and model predictions (green).