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公开(公告)号：US12019009B2
公开(公告)日：2024-06-25
申请号：US17459810
申请日：2021-08-27
申请人： SYSMEX CORPORATION
发明人： Yuji Masuda , Konobu Kimura
IPC分类号： G01N15/1434 , G01N15/01 , G01N15/10 , G01N15/14
CPC分类号： G01N15/1436 , G01N2015/016 , G01N2015/1006 , G01N2015/1486
摘要： A measurement method, a measurement device, and a measurement program for acquiring information related to lipid particles contained in a measurement sample prepared without using a fluorescent dye are provided. The problem is resolved by the measurement method for measuring the number of particles in a measurement sample prepared without using a fluorescent dye, the method including obtaining information related to lipid particles contained in the measurement sample based on a plurality of characteristic values regarding light scattering in each particle obtained by a flow cytometer from the individual particles contained in the measurement sample.
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公开(公告)号：US10578603B2
公开(公告)日：2020-03-03
申请号：US14740815
申请日：2015-06-16
申请人： Sysmex Corporation
发明人： Konobu Kimura , Kinya Uchihashi , Jo Linssen , Jarob Saker
摘要： A blood analyzer comprises a sample preparing part, a light source, a light receiving part, and a processing part configured to discriminate and count reactive B lymphocytes based on at least one of fluorescent light signals and forward scattered light signals.
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公开(公告)号：US20220291199A1
公开(公告)日：2022-09-15
申请号：US17691739
申请日：2022-03-10
申请人： SYSMEX CORPORATION
摘要： Disclosed is an analysis method for analyzing a specimen containing cells, the analysis method including: applying light to a measurement sample prepared from the specimen and detecting light generated from cells; obtaining, with respect to each of a plurality of cells contained in the specimen, feature data of the cell on the basis of the detected light; analyzing the feature data with use of an artificial intelligence algorithm, thereby classifying each of the cells into a plurality of cell types; and displaying information based on a result of the classifying.
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公开(公告)号：US09329172B2
公开(公告)日：2016-05-03
申请号：US14084022
申请日：2013-11-19
申请人： Sysmex Corporation
发明人： Konobu Kimura , Kinya Uchihashi
CPC分类号： G01N33/5094 , G01N15/1459 , G01N2015/008 , G01N2015/1006 , G01N2015/1402 , G01N2015/1477
摘要： A method for analyzing blood cells includes: preparing a measurement specimen for classifying white blood cells, by mixing a sample with a reagent in order to hemolyze red blood cells contained in the sample and to fluorescently stain nucleic acid in white blood cells contained in the sample; detecting, by flowing the prepared measurement specimen in a flow cell, fluorescence emitted from each blood cell in the measurement specimen and two types of scattered light at respective different angles, and obtaining a fluorescence signal and two types of scattered light signals; and classifying the white blood cells into at least four groups and detecting neoplastic lymphocytes, by performing analysis using at least three types of parameters based on the obtained fluorescence signal and two types of scattered light signals.
摘要翻译： 一种分析血细胞的方法包括：通过将样品与试剂混合，制备用于分类白细胞的测定试样，以使所述样品中含有的红细胞溶血，并对所述样品中含有的白细胞中的核酸进行荧光染色 ; 通过使准备好的测定试样在流动池中流通，通过使测定试样中的各血细胞发出的荧光和各种不同角度的两种散射光进行荧光检测，得到荧光信号和两种散射光信号; 并通过基于获得的荧光信号和两种类型的散射光信号使用至少三种类型的参数进行分析，将白细胞分类成至少四组并检测肿瘤淋巴细胞。
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公开(公告)号：US20220292855A1
公开(公告)日：2022-09-15
申请号：US17691793
申请日：2022-03-10
申请人： SYSMEX CORPORATION
摘要： Disclosed is an analysis method for a specimen using an analyzer connected to a host computer, the analysis method including: obtaining, with respect to each of a plurality of cells contained in the specimen, feature data of the cell; generating classification information in which each of the cells is classified into a plurality of cell types, by analyzing the feature data with use of an artificial intelligence algorithm and performing classifying; generating a measurement result of the specimen on the basis of the classification information; displaying, on a display part of the analyzer, the measurement result and at least a part of the classification information; and transmitting, to the host computer, output data that includes the measurement result and in which at least a part of the classification information has been removed.
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公开(公告)号：US10895522B2
公开(公告)日：2021-01-19
申请号：US16003262
申请日：2018-06-08
申请人： SYSMEX CORPORATION
发明人： Konobu Kimura
摘要： Disclosed is a particle analysis method for identifying infections, comprising: step A of irradiating light on a measurement sample prepared by mixing a test blood specimen containing particles, collected from a subject, a fluorescent dye that stains a nucleic acid, and a hemolytic agent, thereby acquiring scattered light and fluorescence from each particle contained in the measurement sample, step B of specifying particles that are substantially not contained in blood of control subjects not suffering from infection and are determined to be neutrophils contained in blood of patients with infection, based on the scattered light and the fluorescence, and acquiring particle number information on the specified particles, and step C of determining whether the test blood specimen is a specimen collected from patients with bacterial infection or a specimen collected from patients with viral infection, based on the particle number information.
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7.发明授权公开(公告)号：US10281458B2
公开(公告)日：2019-05-07
申请号：US15262738
申请日：2016-09-12
申请人： SYSMEX CORPORATION
发明人： Yuji Masuda , Konobu Kimura
IPC分类号： G01N1/30 , G01N1/38 , G01N15/00 , G01N15/10 , G01N15/14 , G01N21/47 , G01N21/64 , G01N33/49 , G01N33/50
摘要： Disclosed is a blood analyzer including a specimen preparation unit that prepares a measurement specimen by mixing a hemolytic agent that hemolyzes red blood cells, a staining dye that dyes nucleic acids, and a blood specimen; a detector that detects intensity of side scattered light and intensity of fluorescence generated with application of light from the measurement specimen prepared by the specimen preparation unit; and an analysis unit that discriminates white blood cells from giant platelets based on the intensity of side scattered light and the intensity of fluorescence detected by the detector, and counts the white blood cells.
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公开(公告)号：US11965817B2
公开(公告)日：2024-04-23
申请号：US17192499
申请日：2021-03-04
申请人： SYSMEX CORPORATION
发明人： Yuki Shida , Yukiko Nakamura , Ken Nishikawa , Kota Misawa , Hikaru Onoue , Takaaki Nagai , Masaki Abe , Takahito Mihara , Masaharu Shibata , Konobu Kimura
CPC分类号： G01N15/1475 , G16B5/00 , G16B50/00 , G01N2015/008 , G16B40/00
摘要： Disclosed is a cell classification method, to be executed by an analyzer, for classifying cells contained in a specimen, including: preparing a first measurement sample by treating a specimen under a first preparation condition; obtaining a first signal from the prepared first measurement sample; classifying, by using the first signal, cells contained in the first measurement sample; preparing a second measurement sample by treating the specimen under a second preparation condition different from the first preparation condition; obtaining a second signal from the prepared second measurement sample; classifying, by using the second signal, cells contained in the second measurement sample; and comparing a result of the cell classification performed by using the first signal and a result of the cell classification performed by using the second signal, with each other, and outputting an analysis result including a number of cells on the basis of a result of the comparison.
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公开(公告)号：US11830188B2
公开(公告)日：2023-11-28
申请号：US17398850
申请日：2021-08-10
发明人： Akimichi Ohsaka , Yoko Tabe , Konobu Kimura
IPC分类号： G06T7/00 , G06N3/08 , G06V20/69 , G06F18/214 , G06F18/2431 , G06V10/764 , G06V10/82 , G06V10/44
CPC分类号： G06T7/0012 , G06F18/2148 , G06F18/2431 , G06N3/08 , G06V10/449 , G06V10/764 , G06V10/82 , G06V20/698 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084
摘要： Disclosed is an image analysis method including inputting analysis data, including information regarding an analysis target cell to a deep learning algorithm having a neural network structure, and analyzing an image by calculating, by use of the deep learning algorithm, a probability that the analysis target cell belongs to each of morphology classifications of a plurality of cells belonging to a predetermined cell group.
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公开(公告)号：US11093729B2
公开(公告)日：2021-08-17
申请号：US16406523
申请日：2019-05-08
发明人： Akimichi Ohsaka , Yoko Tabe , Konobu Kimura
摘要： Disclosed is an image analysis method including inputting analysis data, including information regarding an analysis target cell to a deep learning algorithm having a neural network structure, and analyzing an image by calculating, by use of the deep learning algorithm, a probability that the analysis target cell belongs to each of morphology classifications of a plurality of cells belonging to a predetermined cell group.
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