Categorization data manipulation using a matrix-assisted laser desorption/ionization time-of-flight mass spectrometer

A system comprising:

• at least one processor;
• a receiving unit configured to receive mass spectrometer test data of a sample using the at least one processor;
• an associating unit configured to associate metadata information of a source of the sample to the mass spectrometer test data using the at least one processor;
• a selecting unit configured to select a subset of a sample reference library based on the associated metadata information using the at least one processor, wherein the sample reference library comprises a plurality of sets of mass spectrometer reference data;
• a matching unit configured to match the mass spectrometer test data with at least one set of the plurality of sets of mass spectrometer reference data of the selected subset of the sample reference library using the at least one processor;
• and
• a determining unit configured to determine characteristic information of the source based on the known characteristics of the matched mass spectrometer reference data using the at least one processor,
• wherein the selecting unit selects the subset of the sample reference library by determining overlap between the associated metadata information of the source and metadata information of the plurality of sets of mass spectrometer reference data,
• wherein the metadata information of the source and the metadata information of the plurality of sets of mass spectrometer reference data comprises a plurality of categories having parameters,
• wherein correlation between the plurality of categories is minimized in order to maximize independence of each of the plurality of categories,
• wherein the independence of each of the plurality of categories is determined by a dynamic threshold, and
• wherein the dynamic threshold for determining the independence of each of the plurality of categories is determined by at least one of artificial intelligence or deep learning algorithm.

A computer program product, comprising a computer readable hardware storage device having computer readable program code stored therein, said program code containing instructions executable by one or more processors of a computer system to implement a method of assessing damage to an object, said method comprising:

• receiving mass spectrometer test data of a sample;
• associating metadata information of a source of the sample to the mass spectrometer test data;
• selecting a subset of a sample reference library based on the associated metadata information, wherein the sample reference library comprises a plurality of sets of mass spectrometer reference data;
• matching the mass spectrometer test data with at least one set of the plurality of sets of mass spectrometer reference data of the selected subset of the sample reference library;
• and
• determining characteristic information of the source based on the known characteristics of the matched mass spectrometer reference data,
• wherein the selecting the subset of the sample reference library comprises determining overlap between the associated metadata information of the source and metadata information of the plurality of sets of mass spectrometer reference data,
• wherein the metadata information of the source and the metadata information of the plurality of sets of mass spectrometer reference data comprises a plurality of categories having parameters,
• wherein correlation between the plurality of categories is minimized in order to maximize independence of each of the plurality of categories,
• wherein the independence of each of the plurality of categories is determined by a dynamic threshold, and
• wherein the dynamic threshold for determining the independence of each of the plurality of categories is determined by at least one of artificial intelligence or deep learning algorithm.