DATA ANALYSIS SYSTEM, DATA ANALYSIS APPARATUS AND DATA ANALYSIS METHOD

    公开(公告)号:US20240362904A1

    公开(公告)日:2024-10-31

    申请号:US18593310

    申请日:2024-03-01

    IPC分类号: G06V10/82

    CPC分类号: G06V10/82 G06V2201/03

    摘要: A data analysis system according to this invention includes a data acquirer; an analyzer configured to analyze a to-be-analyzed data by using a learned model; a learned model producer configured to produce the learned model; a storage configured to store each of a plurality of learned models associated with a different version(s) of learned model(s) that is/are other learned model(s) of the plurality of learned models; a display configured to display the learned models; and a controller configured to control the display to display a selected learned model, and the different version(s) of learned model(s) that is/are associated with the selected learned model on a common screen.

    Analyzing method for azo compound

    公开(公告)号:US12130267B2

    公开(公告)日:2024-10-29

    申请号:US17296642

    申请日:2019-10-30

    摘要: A large number of kinds of azo compounds which are representative hazardous substances in fiber products are divided into two groups. The compounds included in the first group are detected by an MRM measurement by a tandem mass spectrometer unit (12) in a measurement section (10) while a two-liquid gradient elution under an acidic condition is performed in a liquid chromatograph unit (11), using an aqueous ammonium acetate solution as mobile phase A, and a mixture of acetonitrile and an aqueous ammonium acetate solution as mobile phase B. On the other hand, the compounds included in the second group are detected by an MRM measurement while a two-liquid gradient elution under a neutral or weakly basic condition is performed using an aqueous ammonium bicarbonate solution as mobile phase A and acetonitrile as mobile phase B. An exhaustive quantitative analysis for major azo compounds can be achieved by performing the two analyses for the same sample. An efficient test with a shortened analysis period can thereby be performed.

    WAVEFORM-ANALYZING METHOD, WAVEFORM-ANALYZING DEVICE, AND ANALYZING SYSTEM

    公开(公告)号:US20240345046A1

    公开(公告)日:2024-10-17

    申请号:US18631581

    申请日:2024-04-10

    IPC分类号: G01N30/86 G01N30/72

    摘要: A model for locating a peak portion in a chromatogram or similar waveform is trained by machine learning using multiple sets of partial waveforms prepared by dividing each reference waveform having a known peak position. An analysis-target waveform is divided into partial waveforms, and whether or not a partial waveform is a peak portion is determined for each partial waveform by the trained model, to estimate different kinds of regions in the analysis-target waveform, including an overlap-peak region. For an overlap peak within a region estimated to be an overlap-peak region, whether or not that peak is a multimodal peak originating from one component is determined, using at least the height of a peak in the overlap peak, the depth of the trough between two neighboring peaks, or the horizontal width of the portion between the bottom of the trough and the top of one of the neighboring peaks.

    Imaging mass spectrometer
    5.
    发明授权

    公开(公告)号:US12112933B2

    公开(公告)日:2024-10-08

    申请号:US17628969

    申请日:2019-08-01

    发明人: Kengo Takeshita

    IPC分类号: H01J49/00

    CPC分类号: H01J49/0036 H01J49/0004

    摘要: An imaging mass spectrometer according to one mode of the present invention includes: an analysis execution section (1, 31) configured to perform a mass spectrometric analysis on each of a plurality of measurement points set within a two-dimensional area on a sample, to collect mass spectrum data over a predetermined mass-to-charge-ratio range for each measurement point; a condition memory section (32) configured to store a data matrix creation condition to be used for creation of a data matrix based on the mass spectrum data acquired by the analysis in the analysis execution section; and a data matrix creation section (42) configured to begin, in the middle of an execution of the analysis by the analysis execution section or subsequently to the completion of the analysis, the creation of the data matrix based on mass spectrum data already collected until then, according to the data matrix creation condition stored in the condition memory section.

    Mass spectrometry method and mass spectrometer

    公开(公告)号:US12111285B2

    公开(公告)日:2024-10-08

    申请号:US17767946

    申请日:2019-11-11

    IPC分类号: G01N27/62 H01J49/26

    CPC分类号: G01N27/62 H01J49/26

    摘要: First product ion spectrum data is acquired by dissociating a precursor ion derived from a sample component by collision between the precursor ion and an inert gas molecule to generate product ions, and detecting the product ions after separating the product ions according to a mass-to-charge ratio; second product ion spectrum data is acquired by dissociating the precursor ion by a reaction of the precursor ion with hydrogen radicals to generate product ions, and detecting the product ions after separating the product ions according to a mass-to-charge ratio; and a set of product ions having a predetermined mass difference is extracted in the first product ion spectrum data and the second product ion spectrum data.

    SPECTROPHOTOMETER
    8.
    发明公开
    SPECTROPHOTOMETER 审中-公开

    公开(公告)号:US20240328932A1

    公开(公告)日:2024-10-03

    申请号:US18614653

    申请日:2024-03-23

    发明人: Masato WATANABE

    IPC分类号: G01N21/31

    CPC分类号: G01N21/31

    摘要: Provided are a light source (2) that emits light to be applied to a sample, a spectroscopic element (12) that disperses the light from the sample for each wavelength; and a light receiver (14) in which light receiving elements for detecting light of each wavelength dispersed by the spectroscopic element (12) are arranged, the light receiver (14) having a surface in direct with a filter layer (16) that shields high-order diffracted light from the spectroscopic element.

    Dielectric barrier discharge ionization, analytical instrument and ionization method

    公开(公告)号:US12106954B2

    公开(公告)日:2024-10-01

    申请号:US17277999

    申请日:2019-10-17

    IPC分类号: H01J49/16 H01J49/04 H01J49/26

    CPC分类号: H01J49/16 H01J49/04 H01J49/26

    摘要: The present invention provides dielectric barrier discharge ionization, including a dielectric barrier discharge tube and an electrode pair consisting of a first electrode and a second electrode. At least a portion of the dielectric barrier discharge tube is provided between the first electrode and the second electrode. The electrode pair can ionize the sample after the power is turned on. The dielectric barrier discharge tube is in communication with a vacuum portion. The pressure range in the dielectric barrier discharge tube is 0.01 to 100 Pa. The dielectric barrier discharge ionization provided by the invention remedies the defects of existing low-pressure ion sources in the pressure range, and provides the low-pressure ion source with high ionization ability, high versatility and simple devices.

    Parameter-searching method, parameter-searching device, and program for parameter search

    公开(公告)号:US12106233B2

    公开(公告)日:2024-10-01

    申请号:US16959704

    申请日:2019-04-24

    摘要: A model estimator (11) estimates a model function of an analyzing system (20) based on target observation data and reference observation data. For this estimation, the amount of variation between the model of the target system and that of a reference model is estimated from the target observation data and reference observation data. The model function of the target model is estimated after the observation data are corrected based on the estimated amount of variation. A parameter determiner (12) calculates an acquisition function based on the mean and covariance of the model function, and determines a parameter value for the next observation, using the acquisition function. A data acquirer (13) sets the parameter value in the analyzing system (20) and acquires a corresponding observed value. A loop process with the feedback of the observation data is repeated to determine an optimal parameter value. In the case of a parameter search using a multi-task Bayesian optimization method, the present technique improves the efficiency of the parameter search even if the correlation between the target observation data and reference observation data is low.