Abstract: A computer-based speech recognition technology system for delivering speech therapy having designed to, substantially in real time, capture, process, and analyze audio voice signals and generate speech parameters to offer to users based on speech data supported by one machine learning designed to provide users with reports, the reports designed to provide at least one score through which to aid users at improving speaking performance. The score includes at least one variable indicating at least one or more of: pitch, rate of speech, speech intensity, shape of vocal pulsation, voicing, magnitude profile, pitch, pitch strength, phonemes, rhythm of speech, harmonic to noise values, cepstral peak prominence, spectral slope, shimmer, and jitter; and score assessments including measures from at least one or more linguistic rules from a group of: phonology, phonetics, syntactic, semantics, and morphology.

Abstract: Systems and methods are disclosed for analyzing a sample using overlapping precursor isolation windows. A mass analyzer of a tandem mass spectrometer is instructed to select and fragment at least two overlapping precursor isolation windows across a precursor ion mass range of a sample using a processor. The tandem mass spectrometer includes a mass analyzer that allows overlapping precursor isolation windows across the mass range of the sample.

Abstract: Systems and methods are disclosed for analyzing a sample using overlapping precursor isolation windows. A mass analyzer of a tandem mass spectrometer is instructed to select and fragment at least two overlapping precursor isolation windows across a precursor ion mass range of a sample using a processor. The tandem mass spectrometer includes a mass analyzer that allows overlapping precursor isolation windows across the mass range of the sample.

Abstract: Method for precursor identification from mass spectroscopic data as a function of mass to charge ratio, retention time as well as of ion mobility, using a database of reference precursor data for retrieval of a region of interest for at least three reference peptide precursors in the mass to charge ratio, the retention time as well as in the ion mobility dimension. In a first step for at least three reference precursors, from the database, said data is analysed in the precursor region of interest of mass to charge ratio, retention time as well as ion mobility dimension, and from that analysis empirically an adjusted center in the ion mobility dimension is determined and an ion mobility extraction width window is determined, and in a second step for the identification of further peptide precursors, said extraction width window is used.

Abstract: Methods for peptide and/or protein quantification by mass spectrometry using labeled peptides, wherein multiple labels lead to distinct fragments for the labeled peptides and their unlabeled variant, thus facilitating data analysis and enhancing the potential for quantification. Methods for selecting the label and label position are further given, as well as sets of labeled peptides resulting from or for use in the above-mentioned methods. The methods and substances are especially useful for data-independent or multiplexed parallel reaction monitoring proteomics applications involving peptide quantification.

Abstract: Systems and methods are disclosed for analyzing a sample using overlapping precursor isolation windows. A mass analyzer of a tandem mass spectrometer is instructed to select and fragment at least two overlapping precursor isolation windows across a precursor ion mass range of a sample using a processor. The tandem mass spectrometer includes a mass analyzer that allows overlapping precursor isolation windows across the mass range of the sample.

Abstract: Methods for peptide and/or protein quantification by mass spectrometry using labeled peptides, wherein multiple labels lead to distinct fragments for the labeled peptides and their unlabeled variant, thus facilitating data analysis and enhancing the potential for quantification. Methods for selecting the label and label position are further given, as well as sets of labeled peptides resulting from or for use in the above-mentioned methods. The methods and substances are especially useful for data-independent or multiplexed parallel reaction monitoring proteomics applications involving peptide quantification.

Abstract: Methods for peptide and/or protein quantification by mass spectrometry using labeled peptides, wherein multiple labels lead to distinct fragments for the labeled peptides and their unlabeled variant, thus facilitating data analysis and enhancing the potential for quantification. Methods for selecting the label and label position are further given, as well as sets of labeled peptides resulting from or for use in the above-mentioned methods. The methods and substances are especially useful for data-independent or multiplexed parallel reaction monitoring proteomics applications involving peptide quantification.

Abstract: Systems and methods are disclosed for analyzing a sample using overlapping precursor isolation windows. A mass analyzer of a tandem mass spectrometer is instructed to select and fragment at least two overlapping precursor isolation windows across a precursor ion mass range of a sample using a processor. The tandem mass spectrometer includes a mass analyzer that allows overlapping precursor isolation windows across the mass range of the sample.

Abstract: Systems and methods are disclosed for analyzing a sample using overlapping precursor isolation windows. A mass analyzer of a tandem mass spectrometer is instructed to select and fragment at least two overlapping precursor isolation windows across a precursor ion mass range of a sample using a processor. The tandem mass spectrometer includes a mass analyzer that allows overlapping precursor isolation windows across the mass range of the sample.

Abstract: Methods for peptide and/or protein quantification by mass spectrometry using labeled peptides, wherein multiple labels lead to distinct fragments for the labeled peptides and their unlabeled variant, thus facilitating data analysis and enhancing the potential for quantification. Methods for selecting the label and label position are further given, as well as sets of labeled peptides resulting from or for use in the above-mentioned methods. The methods and substances are especially useful for data-independent or multiplexed parallel reaction monitoring proteomics applications involving peptide quantification.

Abstract: Systems and methods are disclosed for analyzing a sample using overlapping precursor isolation windows. A mass analyzer of a tandem mass spectrometer is instructed to select and fragment at least two overlapping precursor isolation windows across a precursor ion mass range of a sample using a processor. The tandem mass spectrometer includes a mass analyzer that allows overlapping precursor isolation windows across the mass range of the sample.

Abstract: A method of the analysis of compounds with mass spectrometry and to instruments, substances, and methods for polypeptide analysis, in particular in targeted proteomics applications and based on indexed retention times as peptide specific property.

Abstract: Systems and methods are disclosed for detecting compounds in a sample using a tandem mass spectrometer. A sample comprising a plurality of detectable compounds that have been separated in time over a time interval is introduced into a tandem mass spectrometer. A sample product ion spectra is obtained. The presence of one or more known compounds of interest in the sample product ion spectra is determined. A compound is identified as present in the sample if the score associated with said compound meets a threshold value set as indicative of the likely presence of the compound in the sample.

Abstract: Systems and methods are disclosed for quantitating detectable compounds of a sample. Sample product ion spectra are received for each mass selection window for each time step. The received sample product ion spectra are searched for the presence of known compounds of interest with known product ion spectra by retrieving the known product ion spectra from a library, retrieving the sample product ion spectra corresponding to the precursor mass selection window expected to contain a precursor ion corresponding to the known product ion spectra, generating product ion traces in time for the sample product ion spectra for the known product ion spectra, calculating a score for the product ion traces and product ion spectra that represents how well known product ions and sample product ions match, and calculating a quantitative value for the known compound from the product ion traces when the score exceeds a threshold value.

Abstract: Systems and methods are disclosed for identifying detectable compounds of a sample. Sample product ion spectra are received for each mass selection window of precursor mass selection windows for each time step. The received sample product ion spectra are searched for the presence of known compounds of interest with known product ion spectra by retrieving a known product ion spectrum from a library, retrieving the sample product ion spectra corresponding to the precursor mass selection window expected to contain a precursor ion corresponding to the known product ion spectrum, generating product ion traces in time for the retrieved sample product ion spectra, calculating a score for the product ion traces and the retrieved sample product ion spectra that represents how well the retrieved sample product ion spectra and the known product ion spectrum match, and confirming the identity of a precursor ion using the score.

Abstract: Systems and methods are disclosed for quantitating detectable compounds of a sample. Sample product ion spectra are received for each mass selection window for each time step. The received sample product ion spectra are searched for the presence of known compounds of interest with known product ion spectra by retrieving the known product ion spectra from a library, retrieving the sample product ion spectra corresponding to the precursor mass selection window expected to contain a precursor ion corresponding to the known product ion spectra, generating product ion traces in time for the sample product ion spectra for the known product ion spectra, calculating a score for the product ion traces and product ion spectra that represents how well known product ions and sample product ions match, and calculating a quantitative value for the known compound from the product ion traces when the score exceeds a threshold value.

Abstract: Systems and methods are disclosed for identifying detectable compounds of a sample. Sample product ion spectra are received for each mass selection window of precursor mass selection windows for each time step. The received sample product ion spectra are searched for the presence of known compounds of interest with known product ion spectra by retrieving a known product ion spectrum from a library, retrieving the sample product ion spectra corresponding to the precursor mass selection window expected to contain a precursor ion corresponding to the known product ion spectrum, generating product ion traces in time for the retrieved sample product ion spectra, calculating a score for the product ion traces and the retrieved sample product ion spectra that represents how well the retrieved sample product ion spectra and the known product ion spectrum match, and confirming the identity of a precursor ion using the score.

Abstract: Systems and methods are used to store an electronic record of all product ion spectra of all detectable compounds of a sample. A plurality of product ion scans are performed on a tandem mass spectrometer one or more times in a single sample analysis across a mass range using a plurality of mass selection windows. All sample product ion spectra of all detectable compounds for each mass selection window are produced. All sample product ion spectra for each mass selection window are received from the tandem mass spectrometer using a processor. All sample product ion spectra for each mass selection window are stored as an electronic record of all detectable compounds of the sample using the processor. The electronic record is used to characterize compounds known at the time the electronic record is stored or to characterize compounds that became known after the electronic record was stored.

Abstract: Systems and methods are used to store an electronic record of all product ion spectra of all detectable compounds of a sample. A plurality of product ion scans are performed on a tandem mass spectrometer one or more times in a single sample analysis across a mass range using a plurality of mass selection windows. All sample product ion spectra of all detectable compounds for each mass selection window are produced. All sample product ion spectra for each mass selection window are received from the tandem mass spectrometer using a processor. All sample product ion spectra for each mass selection window are stored as an electronic record of all detectable compounds of the sample using the processor. The electronic record is used to characterize compounds known at the time the electronic record is stored or to characterize compounds that became known after the electronic record was stored.