In some embodiments, obtaining the one or more sample spectra may comprise obtaining one or more (e.g., known) reference sample spectra and one or more (e.g., unknown) sample spectra for the same particular target and/or subject, and analysing the one or more sample spectra may comprise developing and/or modifying and/or using a classification model and/or library tailored for the particular target and/or subject.
Using a classification model and/or library developed and/or modified specifically for a particular target and/or subject can improve the relevancy and/or accuracy of the classification for the particular target and/or subject. These embodiments are, therefore, particularly advantageous.
As discussed above, the one or more sample spectra may be obtained using a sampling device. In these embodiments, the classification model and/or library for the particular target and/or subject may be developed and/or modified and/or used while the sampling device remains in use.
Plural classification models and/or libraries, for example each having one or more classes, may be developed and/or modified and/or used as described above in any aspect or embodiment.
Analysing the one or more sample spectra may produce one or more results. The one or more results may comprise one or more classification models and/or libraries and/or class definitions and/or classification criteria and/or classifications for the sample. The one or more results may correspond to one or more regions of a target and/or subject.
The results may be used by control circuitry of the spectrometric analysis system.
The control circuitry may form part of or may be coupled to a spectrometer, such as a mass and/or ion mobility spectrometer, of the spectrometric analysis system.