Method and system for mass spectrometry signal quality assessment
Methods and systems for a signal quality assessment for mass spectrometry are provided. The system includes a processor that utilizes a wavelet-based feature extraction for the signal quality assessment of a chromatogram signal. The signal quality assessment is used to control operational parameters such as a flowrate of a pump that moves liquid droplets toward an ionization device of a mass spectrometer.
1 . A system, wherein the system comprises:
a mass analyzer operable to generate a multidimensional signal, wherein the multidimensional signal comprises a plurality of outputs; and
a processor, wherein the processor is operable to:
generate a multidimensional wavelet scale-space response of the multidimensional signal,
generate an ideal wavelet scale-space response of an ideal signal,
generate a signal quality metric according to the multidimensional wavelet scale-space response,
compare the signal quality metric to an expected value generated from the ideal wavelet scale-space response, and
according to the comparison of the signal quality metric to the expected value, iteratively:
adjust an operational parameter of the mass analyzer,
regenerate a multidimensional wavelet scale-space response of the multidimensional signal,
regenerate the ideal wavelet scale-space response of an ideal signal,
regenerate the signal quality metric according to the regenerated multidimensional wavelet scale-space response, and
compare the signal quality metric to an expected value generated from the regenerated ideal wavelet scale-space response.
2 . The system of claim 1 , wherein the wavelet scale-space response comprises a wavelet response over time for each of two or more scales.
3 . The system of claim 1 , wherein the signal quality metric is generated according to a region of interest.
4 . The system of claim 3 , wherein the region of interest comprises a local maxima of the multidimensional signal.
5 . The system of claim 1 , wherein the multidimensional signal is a chromatogram signal.
6 . The system of claim 1 , wherein the processor is operable to generate the signal quality metric according to a quality feature extraction from a wavelet scale-space response over a region of interest, and wherein the wavelet scale-space response comprises at least one scale.
7 . The system of claim 1 , wherein the processor is operable to generate the signal quality metric by combining two or more features of the multidimensional signal.
8 . The system of claim 1 , wherein the processor is operable to generate the signal quality metric according to a number of local maxima in a region of interest.
9 . The system of claim 1 , wherein the processor is operable to generate the signal quality metric by determining a wavelet scale-space response of the multidimensional signal, and wherein the wavelet scale-space response comprises a first number of local maxima at a first scale and a second number of local maxima at a second scale.
10 . A method, wherein the method comprises:
generating a multidimensional signal via a mass analyzer, wherein the multidimensional signal comprises a plurality of outputs;
generating a multidimensional wavelet scale-space response of the multidimensional signal;
generating an ideal wavelet scale-space response of an ideal signal;
generating a signal quality metric according to the multidimensional wavelet scale-space response;
comparing the signal quality metric to an expected value generated from the ideal wavelet scale-space response; and
according to the comparison of the signal quality metric to the expected value, iteratively:
adjusting an operational parameter of the mass analyzer,
regenerating a multidimensional wavelet scale-space response of the multidimensional signal,
regenerating the ideal wavelet scale-space response of an ideal signal,
regenerating the signal quality metric according to the regenerated multidimensional wavelet scale-space response, and
comparing the signal quality metric to an expected value generated from the regenerated ideal wavelet-scale space response.
11 . The method of claim 10 , wherein the wavelet scale-space response comprises a wavelet response over time for each of two or more scales.
12 . The method of claim 10 , wherein the signal quality metric is generated according to a region of interest.
13 . The method of claim 12 , wherein the region of interest comprises a local maxima of the multidimensional signal.
14 . The method of claim 10 , wherein the multidimensional signal is a chromatogram signal.
15 . The method of claim 10 , wherein generating the signal quality metric comprises extracting a quality feature from a wavelet scale-space response over a region of interest, and wherein the wavelet scale-space response comprises at least one scale.
16 . The method of claim 10 , wherein generating the signal quality metric comprises combining two or more features of the multidimensional signal.
17 . The method of claim 10 , wherein generating the signal quality metric is according to a number of local maxima in a region of interest.
18 . The method of claim 10 , wherein generating the signal quality metric comprises determining a wavelet scale-space response of the multidimensional signal, and wherein the wavelet scale-space response comprises a first number of local maxima at a first scale and a second number of local maxima at a second scale.