3d mass spectrometry predictive classification

A method for analyzing a multidimensional data set, comprising:

• generating a multidimensional mass spectrometry data set from a sample;
• generating an matrix representing the multidimensional mass spectrometry data set such that a first dimension and a second dimension of the multidimensional mass spectrometry data set correspond to a matrix cell location, and an ion intensity corresponds to a matrix cell value;
• and
• determining a class of the matrix from a plurality of matrix classes using a trained neural network matrix classifier.

A system for assessing an instrument, comprising:

• the instrument configured to:
• perform a series of diagnostic routines;
• and
• provide results of the series of diagnostic routines to an matrix generator;
• the matrix generator configured to:
• receive the results of the series of diagnostic routines;
• generate an multidimensional matrix representing the results of the series of diagnostic routines with a matrix cell location corresponding to one of the series of diagnostic routines and a time point during the diagnostic routine, and a value of the matrix cell corresponding to a measured value of the diagnostic routine;
• and
• provide the multidimensional matrix to a matrix classifier;
• and
• the matrix classifier configured to:
• receive the multidimensional matrix from the matrix generator;
• and
• determine a class of the multidimensional matrix from a plurality of matrix classes, the class indicating a corrective action necessary to bring the instrument into nominal operation.