公开(公告)号：US20200309672A1

公开(公告)日：2020-10-01

申请号：US16831124

申请日：2020-03-26

Applicant: SYSMEX CORPORATION

Inventor： Momoko IMAKUBO

IPC: G01N15/14 ,  G06K9/00 ,  G06K9/20

Abstract: Disclosed is a fluorescence image analyzer for analyzing a fluorescence image of a cell contained in a sample. The fluorescence image analyzer includes a light source configured to apply light to the sample; an imaging unit configured to capture a fluorescence image of the cell by which fluorescence is generated by applying the light; and a processing unit configured to process the captured fluorescence image. The processing unit is programmed to obtain a bright point pattern of fluorescence in the captured fluorescence image; select at least one bright point pattern, from among a plurality of bright point patterns that include one or more positive patterns and are associated with at least one of a measurement item or a labeling reagent; and determine what positive pattern, among the selected at least one bright point pattern, corresponds to the obtained bright point pattern, based on the obtained bright point pattern and the selected at least one bright point pattern.

公开(公告)号：US20200311927A1

公开(公告)日：2020-10-01

申请号：US16831168

申请日：2020-03-26

Applicant: SYSMEX CORPORATION

Inventor： Momoko IMAKUBO

IPC: G06T7/00 ,  G01N21/64 ,  G06T11/60

Abstract: Disclosed is a fluorescence image analyzer for measuring and analyzing a sample that includes a plurality of cells in which target portions are labeled with fluorescent dyes, and the fluorescence image analyzer includes a light source configured to apply light to the sample; an imaging unit configured to take a fluorescence image of each of the cells by which fluorescence is generated by applying the light; a processing unit configured to process the fluorescence image having been taken; and a display unit. The processing unit obtains a bright point pattern of fluorescence in the fluorescence image, causes the display unit to display a plurality of positive patterns that are previously associated with at least one of a measurement item or a labeling reagent, and causes the display unit to display information of at least one of the number of abnormal cells included in the sample, a proportion of the number of the abnormal cells, the number of normal cells included in the sample, and a proportion of the normal cells, based on the bright point pattern having been obtained and the plurality of positive patterns.

公开(公告)号：US20210164886A1

公开(公告)日：2021-06-03

申请号：US17105013

申请日：2020-11-25

Applicant: SYSMEX CORPORATION

Inventor： Kentaro SHIRAI ,  Eri KATSUMATA ,  Yuji OKAMOTO ,  Momoko IMAKUBO ,  Jianyin LU

IPC: G01N15/14 ,  G02B21/26 ,  G02B21/36 ,  G01N21/64 ,  G06T7/62 ,  G06T7/50

Abstract: A cell analysis method, a cell analysis device, a cell analysis system, a cell analysis program, and a trained artificial intelligence algorithm generation method, generation device, and generation program to facilitate high-accuracy and high-speed analysis of more cells in a sample are provided. A cell analysis method for analyzing cells using an artificial intelligence algorithm, in which a sample containing cells is caused to flow in a flow path, an analysis target image is generated by imaging cells passing through the flow path, analysis data are generated from the generated analysis target image, the generated analysis data are input to the artificial intelligence algorithm, and data indicating the properties of the cells contained in the analysis target image are generated by the artificial intelligence algorithm.

公开(公告)号：US20210164883A1

公开(公告)日：2021-06-03

申请号：US17105047

申请日：2020-11-25

Applicant: SYSMEX CORPORATION

Inventor： Momoko IMAKUBO ,  Jianyin LU ,  Kentaro SHIRAI ,  Eri KATSUMATA ,  Yuji OKAMOTO

IPC: G01N15/14 ,  G06T7/00

Abstract: The present invention is to facilitate analysis of a plurality of analysis items. A cell analysis method for analyzing cells is provided in which data for analysis of cells contained in a sample are generated, and an artificial intelligence algorithm to be the input destination of the generated analysis data is selected from among a plurality of artificial intelligence algorithms, data indicating the properties of the cells are generated based on the analysis data via the artificial intelligence algorithm.