Abstract: Disclosed herein are scientific instrument support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, a scientific instrument support apparatus including memory hardware configured to store instructions and processing hardware configured to execute the instructions. The instructions include loading a batch of raw spectrum files generated by a mass spectrometer, dividing the raw spectrum files into a first subset and a second subset, processing each of the first subset of raw spectrum files with a machine learning model to generate a first subset of spectrum match files, generating a screening list from the first subset of spectrum match files, and processing each of the second subset of raw spectrum files and the screening list with the machine learning model to generate a second subset of spectrum match files.

Abstract: A method for deconvoluting measured mass spectrometry data, the method comprising: receiving measured mass spectrometry data representing at least two molecular moieties each having a respective isotopic pattern, wherein at least two of said isotopic patterns overlap; iteratively filling a set of mass channels to produce an approximated version of the mass spectrometry data, said iterative filling comprising a number of iterations, each iteration comprising filling one or more of the mass channels with a chunk of intensity data according to the isotopic pattern of a respective one of the two or more molecular moieties selected for said iteration; terminating said iterative filling when a fitness criterion is met indicating a fit of the approximated version of the mass spectrometry data to the measured mass spectrometry data; and determining the amount of each molecular moiety that produced the measured mass spectrometry data based on the total amount of fills according to the respective isotopic pattern of sa

Abstract: A data processing device comprises a processor unit adapted to process a plurality of initial data vectors provided by a chromatograph and/or a mass spectrometer, the processing being carried out in one, two or more processing steps producing items of processed data, and a storage unit adapted to save and retrieve initial data vectors and/or items of processed data, in particular processed data vectors or identified compounds, and/or items of additional data, in particular properties of the sample introduced in the mass spectrometer. Each item of processed data and/or additional data is connected to at least one initial data vector, and wherein the processor unit is adapted to group, select and/or modify initial data vectors and/or items of processed data according to one or more items of additional data.

Abstract: A method for deconvoluting measured mass spectrometry data, the method comprising: receiving measured mass spectrometry data representing at least two molecular moieties each having a respective isotopic pattern, wherein at least two of said isotopic patterns overlap; iteratively filling a set of mass channels to produce an approximated version of the mass spectrometry data, said iterative filling comprising a number of iterations, each iteration comprising filling one or more of the mass channels with a chunk of intensity data according to the isotopic pattern of a respective one of the two or more molecular moieties selected for said iteration; terminating said iterative filling when a fitness criterion is met indicating a fit of the approximated version of the mass spectrometry data to the measured mass spectrometry data; and determining the amount of each molecular moiety that produced the measured mass spectrometry data based on the total amount of fills according to the respective isotopic pattern of sa

Abstract: A method for deconvoluting measured mass spectrometry data, the method comprising: receiving measured mass spectrometry data representing at least two molecular moieties each having a respective isotopic pattern, wherein at least two of said isotopic patterns overlap; iteratively filling a set of mass channels to produce an approximated version of the mass spectrometry data, said iterative filling comprising a number of iterations, each iteration comprising filling one or more of the mass channels with a chunk of intensity data according to the isotopic pattern of a respective one of the two or more molecular moieties selected for said iteration; terminating said iterative filling when a fitness criterion is met indicating a fit of the approximated version of the mass spectrometry data to the measured mass spectrometry data; and determining the amount of each molecular moiety that produced the measured mass spectrometry data based on the total amount of fills according to the respective isotopic pattern of sa

Abstract: A method for deconvoluting measured mass spectrometry data, the method comprising: receiving measured mass spectrometry data representing at least two molecular moieties each having a respective isotopic pattern, wherein at least two of said isotopic patterns overlap; iteratively filling a set of mass channels to produce an approximated version of the mass spectrometry data, said iterative filling comprising a number of iterations, each iteration comprising filling one or more of the mass channels with a chunk of intensity data according to the isotopic pattern of a respective one of the two or more molecular moieties selected for said iteration; terminating said iterative filling when a fitness criterion is met indicating a fit of the approximated version of the mass spectrometry data to the measured mass spectrometry data; and determining the amount of each molecular moiety that produced the measured mass spectrometry data based on the total amount of fills according to the respective isotopic pattern of sa

Abstract: A data processing device comprises a processor unit adapted to process a plurality of initial data vectors provided by a chromatograph and/or a mass spectrometer, the processing being carried out in one, two or more processing steps producing items of processed data, and a storage unit adapted to save and retrieve initial data vectors and/or items of processed data, in particular processed data vectors or identified compounds, and/or items of additional data, in particular properties of the sample introduced in the mass spectrometer. Each item of processed data and/or additional data is connected to at least one initial data vector, and wherein the processor unit is adapted to group, select and/or modify initial data vectors and/or items of processed data according to one or more items of additional data.