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公开(公告)号：US20230033480A1
公开(公告)日：2023-02-02
申请号：US17857316
申请日：2022-07-05
Applicant: SHIMADZU CORPORATION
Inventor： Yuriko NAKAKIMURA , Shiori NAGAI , Tomohiro KAWASE , Yusuke YOKOI , Satoshi YAMAMOTO , Kenta ADACHI
Abstract: A data processing apparatus according to one aspect is provided with an inference unit configured to predict at least one objective variable from a plurality of explanatory variables by using a trained model, and a display data generation unit configured to generate data for displaying an inference result by the inference unit. The inference unit is configured to set a first explanatory variable selected from the plurality of explanatory variables as a variation value and set second explanatory variables other than the first explanatory variable as fixed values. The inference unit predicts, by using the trained model, the at least one objective variable when the first explanatory variable is continuously varied within a predetermined variation range. The display data generation unit generates data indicating a variation of the at least one objective variable with respect to a variation of the first explanatory variable.
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公开(公告)号：US20250044265A1
公开(公告)日：2025-02-06
申请号：US18767253
申请日：2024-07-09
Applicant: SHIMADZU CORPORATION
Inventor： Tomohiro KAWASE , Harunori KAWAI
IPC: G01N30/86
Abstract: An analysis data storage part that stores analysis data including actual measurement values of a plurality of analysis results obtained by executing analysis using a plurality of analysis conditions, wherein each of the actual measurement values are in association with corresponding analysis condition of the plurality of analysis conditions in the analysis data storage part; a model formula storage part that stores a model formula that includes an analysis condition as a variable and serves as a basis for a prediction formula for calculating a predicted value of an analysis result from an analysis condition; and a data processor that performs arithmetic processing by using the analysis data stored in the analysis data storage part and the model formula stored in the model formula storage part, wherein the data processor includes: a prediction formula generator configured to generate the prediction formula for the sample by applying the actual measurement values, together with respective corresponding analysis condition, of the plurality of analysis results stored in the analysis data storage part to the model formula stored in the model formula storage part; and a correlation data generator configured to generate correlation data indicating a correlation between predicted values, calculated by using the prediction formula generated by the prediction formula generator, of analysis results obtained by using two or more analysis conditions and actual measurement values of the analysis results obtained by using the two or more analysis conditions.
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公开(公告)号：US20230408464A1
公开(公告)日：2023-12-21
申请号：US18197077
申请日：2023-05-14
Applicant: SHIMADZU CORPORATION
Inventor： Shinichi FUJISAKI , Tomohiro KAWASE
CPC classification number: G01N30/74 , G01N30/8634 , G01N2030/8804 , G01N30/8679 , G01N30/8662
Abstract: An analysis assistance device includes an estimator that estimates a distribution of measurement quality indicator data by performing a regression analysis with use of a plurality of analysis condition data pieces supplied to an analysis device and a plurality of measurement data pieces obtained by the analysis device based on the plurality of analysis condition data pieces, and an analysis assistance information outputter that outputs a distribution of the measurement quality indicator data to a display device. The analysis condition data pieces include a first factor. The estimator estimates respective distributions of the measurement quality indicator data in a case in which the first factor is a first value and a case in which the first factor is a second value. The analysis assistance information outputter outputs the respective distributions to the display device.
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公开(公告)号：US20230358771A1
公开(公告)日：2023-11-09
申请号：US17928527
申请日：2021-01-18
Applicant: SHIMADZU CORPORATION
Inventor： Tomohiro KAWASE , Yugo HASE , Takayuki NAKATANI
CPC classification number: G01N35/00732 , G01N30/34 , G01N2030/8804
Abstract: Identification information for identifying each analysis appliance and consumable information representing a usage state of a consumable included in each analysis appliance are acquired by an information acquirer from a control device. The identification information and the consumable information acquired by the information acquirer are held by an information holder. A display controller causes a display device to display a list screen of identification information held by the information holder. Further, the display controller causes a usage state of a consumable for each analysis appliance to be displayed on the list screen based on consumable information held by the information holder.
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公开(公告)号：US20230177195A1
公开(公告)日：2023-06-08
申请号：US17921969
申请日：2021-03-24
Applicant: SHIMADZU CORPORATION
Inventor： Tomohiro KAWASE , Shiori NAGAI
CPC classification number: G06F21/6218 , G06F21/604 , G06F2221/2117 , G06F2221/2141
Abstract: The complex analysis database manages the analysis result data in association with each of the plurality of samples. A project-sample registering unit registers, in a project database, a respective one of a plurality of projects in association with one or more selected from the plurality of samples. A project-user registering unit registers, in the project database, a respective one of the plurality of projects in association with one or more selected from a plurality of users. The display control unit displays a project associated with the login user in a selectable manner on an information terminal operated by the login user. The display control unit extracts, from a complex analysis database, the analysis result data of a sample associated with the project selected by the login user and displays the extracted data on the information terminal.
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Patent Agency Ranking
公开(公告)号：US20190011410A1
公开(公告)日：2019-01-10
申请号：US15762818
申请日：2015-09-25
Applicant: SHIMADZU CORPORATION
Inventor： Kengo MAEDA , Tomohiro KAWASE , Yutaro YAMAMURA , Tomoomi HOSHI
Abstract: A degree of similarity in the peak pattern between a mass spectrum obtained for an unknown target substance in a sample and a mass spectrum of a known specific substance is calculated (S4). If the degree of similarity is within a range of 80-60% (“No” in S6), the ratio between the signal intensities at two mass-to-charge ratios characteristic of the specific substance is calculated and compared with a reference value (S7 and S8). If the intensity ratio exceeds the reference value, the target substance is likely to be the specific substance. Therefore, as in the case where the degree of similarity is equal to or higher than 80%, it is concluded that the specific substance is contained in the sample (S10). In advance of such a judgment, whether or not the sample has been certainly subjected to the mass spectrometric analysis is determined from a graph of the total ion current signal created from data collected by performing a measurement from a point in time before the sample is placed at a measurement position (S2 and S3). If no significant peak is present in the graph, it is concluded that a sample introduction error has occurred (S11). By such a method, a higher level of qualitative determination accuracy can be achieved than in a conventional qualitative analysis using only the degree of similarity.
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公开(公告)号：US20130297230A1
公开(公告)日：2013-11-07
申请号：US13874156
申请日：2013-04-30
Applicant: SHIMADZU CORPORATION
Inventor： Tomohiro KAWASE
IPC: G06F19/00
CPC classification number: G16C20/20 , G01N30/8662 , H01J49/0036 , G01N30/72
Abstract: Provided is a system for helping an operator determine the target ion, collision energy and other analysis conditions. A chromatogram selected by an operator is displayed in a chromatogram display area of an MRM measurement parameter determination window. When the operator selects a point on this chromatogram, the name of a target compound which is registered in an event linked with a range of time including the selected point in time is displayed on a compound name display area. A plurality of mass spectra collected at that point in time are also displayed in a mass spectra display area in a vertically arranged form, using the same scale on the mass axis and the same scale on the intensity axis, with the scales of their mass axes aligned with each other in the vertical direction. The operator can then check whether the selected peak corresponds to the target compound.
Abstract translation: 提供了一种帮助操作者确定目标离子，碰撞能量和其他分析条件的系统。 操作员选择的色谱图显示在MRM测量参数确定窗口的色谱图显示区域。 当操作员选择该色谱图上的点时，在包含所选时间点的时间范围内注册的事件中的目标化合物的名称显示在化合物名称显示区域上。 在该时间点收集的多个质谱图也以垂直布置的形式显示在质谱显示区域中，使用质量轴上相同的刻度和强度轴上相同的刻度，其质量轴的刻度 在垂直方向上彼此对准。 然后，操作者可以检查所选择的峰是否对应于目标化合物。
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公开(公告)号：US20250067709A1
公开(公告)日：2025-02-27
申请号：US18807265
申请日：2024-08-16
Applicant: SHIMADZU CORPORATION
Inventor： Tomohiro KAWASE , Satoru WATANABE , Shinichi FUJISAKI
IPC: G01N30/86
Abstract: A processor of a setting device obtains a plurality of pieces of peak information respectively corresponding to a plurality of components, determines whether or not one component of the plurality of components is distinguishable from another component other than the one component based on a value of a first peak parameter indicating a feature of a peak included in each of the plurality of pieces of peak information, sets, to a first identification method that is based on the first peak parameter, an identification method for a component that is distinguishable from the other component based on the first peak parameter among the plurality of components, and sets, to another identification method different from the first identification method, an identification method for a component that is not distinguishable from the other component among the plurality of components based on the first peak parameter.
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公开(公告)号：US20250027915A1
公开(公告)日：2025-01-23
申请号：US18764681
申请日：2024-07-05
Applicant: SHIMADZU CORPORATION
Inventor： Hiroaki KOZAWA , Shinji KANAZAWA , Tomohiro KAWASE , Yuki WATANABE
Abstract: A detection device includes an acquisition unit that acquires a plurality of pieces of detection data corresponding, on a one-to-one basis, to a plurality of samples, and a computing unit that processes the plurality of pieces of detection data. The computing unit acquires an identification result indicating that peak information regarding signal intensity extracted from each of the plurality of pieces of detection data is identified as peak information regarding signal intensity corresponding to a target component, and detects, in a case where there is outlier peak information among a plurality of pieces of the peak information identified for respective ones of the plurality of pieces of detection data, that an identification result corresponding to the outlier peak information is anomalous.
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公开(公告)号：US20230186158A1
公开(公告)日：2023-06-15
申请号：US17926450
申请日：2021-03-30
Applicant: SHIMADZU CORPORATION , SUMITOMO RUBBER INDUSTRIES, LTD.
Inventor： Shiori NAGAI , Tomohiro KAWASE , Tomoya TSUDA , Satoshi YAMAMOTO , Hiroaki YAMADA , Hiroyuki KISHIMOTO , Wakana ITO
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: For each of one or a plurality of types of samples, a database is constructed in which a sample identification tag and data belonging to at least two types of categories out of Categories (1), (2), and (3) are stored in association with each other. Data to be used as training data in supervised learning is selected from the database. At this time, one or a plurality of types of data is selected as an explanatory variable from one of the categories. Further, one or a plurality of types of data is selected as an objective variable from the other category. Then, training data is generated in which data corresponding to the selected explanatory variable is served as input and data corresponding to the selected objective variable is served as ground truth output. Category (1) is a plurality of types of samples relating to a production method of the sample, Category (2) is a plurality of types of samples acquired by analyzing a sample by one or a plurality of types of analyzers, and Category (3) is a plurality of types of physical property data that are information representing sample characteristics.
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