公开(公告)号：US20220221434A1

公开(公告)日：2022-07-14

申请号：US17609622

申请日：2020-05-07

Applicant: OSAKA UNIVERSITY ,  SHIMADZU CORPORATION

Inventor： Fumio MATSUDA ,  Shinji KANAZAWA

IPC: G01N30/86 ,  G06F16/33

Abstract: The present invention is an analytical device (50) including: an information acquisition unit (51) configured to acquire first identification information identifying, from a result of measuring an analyte contained in a biological sample using an analyzer (10), the analyte; an extraction unit (56) configured to extract a related term related to the analyte, from a database (41) in which document data is accumulated, on a basis of the first identification information acquired by the information acquisition unit; and a presentation unit (57, 59) configured to present the related term extracted by the extraction unit to a user.

公开(公告)号：US20220382767A1

公开(公告)日：2022-12-01

申请号：US17739847

申请日：2022-05-09

Applicant: SHIMADZU CORPORATION ,  OSAKA UNIVERSITY

Inventor： Shinji KANAZAWA ,  Satoshi SHIMIZU ,  Fumio MATSUDA

IPC: G06F16/2457 ,  G06F16/93 ,  G06F16/248 ,  G06F16/2458

Abstract: A device to support work of searching document data for interpreting an information analysis result of analysis data obtained by analyzing a sample containing an analyte, includes: an acquisition unit to acquire first information for identifying the analyte from the analysis data; a reception unit to receive input of second information for searching data of a document for interpreting the information analysis result of the analysis data; an extraction unit to extract, based on the first and second information, terms relevant to the information analysis result, from among terms in data of documents in a database; a calculation unit to calculate, for each relevant term, relevance scores indicating a relevance degree between the relevant term and the first information, and a relevance degree between the relevant term and the second information; and a processing unit to obtain an index value of statistical likelihood from the relevance scores.

公开(公告)号：US20240410891A1

公开(公告)日：2024-12-12

申请号：US18579988

申请日：2021-07-19

Applicant: Shimadzu Corporation ,  OSAKA UNIVERSITY

Inventor： Mami OKAMOTO ,  Yohei YAMADA ,  Nobuyuki OKAHASHI ,  Fumio MATSUDA

IPC: G01N33/58

Abstract: In a method for creating isotope distribution data, samples for analysis having different concentrations of metabolites are prepared as samples containing metabolites of cells cultured in a medium containing a substrate labeled with a stable isotope, mass spectrometry is performed on each under the same analysis condition, mass spectrum data is analyzed for each to identify the type of the metabolites, and there are determined the number of metabolites included in a metabolite group made of unlabeled metabolites and/or isotopic isomers, and the signal intensities of mass peaks corresponding to all isotope isomers included in the metabolite group. The number of metabolites corresponding to all types of metabolites and the signal intensity are compared among the samples to select a sample for analysis for obtaining the isotope distribution, and data on the isotope distribution of the metabolite is integrated to create the isotope distribution data of the metabolite.

公开(公告)号：US20230280317A1

公开(公告)日：2023-09-07

申请号：US18010963

申请日：2021-06-03

Applicant: Shimadzu Corporation ,  Osaka University

Inventor： Shinji KANAZAWA ,  Fumio MATSUDA

IPC: G01N30/86

CPC classification number: G01N30/8631 ,  G01N30/8693 ,  G01N2030/027

Abstract: A data generation device according to the present invention is a data generation device configured to simulatively generate data used when creating, by machine learning, a discriminator configured to detect a peak observed in a signal waveform, the data generation device including: a parameter frequency information acquisition unit configured to acquire information on frequency of a predetermined shape parameter which characterizes a shape of a signal waveform from a plurality of signal waveforms collected only in a target field of machine learning for creating the discriminator; and a simulated waveform generation unit configured to generate a simulated signal waveform which is able to include overlapping of a plurality of peaks and noise using the information on frequency of the shape parameter, in which the simulated signal waveform is provided as data for training or evaluating machine learning.