Mass spectrometer isolation profile analyser
AssigneeThermo Fisher Scientific (Bremen) GmbH
InventorsAdrian Schuetz, Amelia Corinne Peterson, Bastian Reitemeier, Bernd Hagedorn
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Abstract
Method and system for characterising an isolation profile of a mass spectrometer, the method comprising obtaining data of an, or at least one ion species transmitted by a mass spectrometer forming an isolation profile of the mass spectrometer. Normalizing the obtained data. Providing the normalized data to a deep neural network trained using a plurality of previous isolation profiles. Generating from the deep neural network a set of fit parameters of a curve representing a fit to the normalized data. Providing as an output, data representing the curve. The method may also be used as part of a calibration procedure for the mass spectrometer.
Claims20
A method for characterising an isolation profile of a mass spectrometer, the method comprising the steps of:
- obtaining data of an, or at least one ion species transmitted by a mass spectrometer forming an isolation profile of the mass spectrometer;
- normalizing the obtained data;
- providing the normalized data to a deep neural network trained using a plurality of previous isolation profiles;
- generating from the deep neural network a set of fit parameters of a curve representing a fit to the normalized data;
- and
- providing as an output, data representing the curve.
A mass spectrometer, comprising:
- a mass analyser;
- a detector;
- and
- and means adapted to execute the steps of:
- obtaining data of an, or at least one ion species transmitted by a mass spectrometer forming an isolation profile of the mass spectrometer;
- normalizing the obtained data;
- providing the normalized data to a deep neural network trained using a plurality of previous isolation profiles;
- generating from the deep neural network a set of fit parameters of a curve representing a fit to the normalized data;
- and
- providing as an output, data representing the curve.
A computer program product comprising instructions to cause a mass spectrometer to execute the steps of:
- obtaining data of an, or at least one ion species transmitted by the mass spectrometer forming an isolation profile of the mass spectrometer;
- normalizing the obtained data;
- providing the normalized data to a deep neural network trained using a plurality of previous isolation profiles;
- generating from the deep neural network a set of fit parameters of a curve representing a fit to the normalized data;
- and
- providing as an output, data representing the curve.
Dependencies are inferred from the claim text.