Sysmex Patente

A sample analyzer (1) comprises: a measurement unit (2) measuring an analyte related to a dementia biomarker contained in a sample collected from a subject, and comprising: a sample dispenser, a first reagent dispenser, a second reagent dispenser, and a detector; a controller (101) comprising a processor and programmed to obtain a measurement value of the analyte based on the light detected by the detector; a storage (102) storing a reference value that specifies an outlier that may be caused by a factor other than dementia; and an output unit (103). The controller is programmed to execute a determination on whether the measurement value is specified as the outlier based on the measurement value and the reference value, generate an analysis result of the dementia biomarker based on the measurement value and a result of the determination, and output the analysis result of the dementia biomarker via the output unit.

Disclosed is a sample analysis system comprising: a plurality of measurement units, each configured to measure a sample to obtain a measurement result based on a measurement order including one or more measurement items; an identification information reader configured to read identification information of each of a plurality of first samples to be measured for diagnosis of a test subject by at least one of the plurality of measurement units; and a computer that is configured to: identify at least one of the plurality of first samples as a second sample used for a measurement for an inter-instrument difference evaluation, based on a timing to conduct the inter-instrument difference evaluation, wherein the timing is automatically determined by the computer; and control each of a plurality of target measurement units to measure the identified second sample based on a measurement order including one or more preset measurement items for the inter-instrument difference evaluation, and store a plurality of second measurement results of the second sample obtained from the plurality of target measurement units, for use in the inter-instrument difference evaluation, in the storage device in association with the identification information of the second sample.

Disclosed is a sample analysis system comprising: a plurality of measurement units, each configured to measure a sample to obtain a measurement result based on a measurement order including one or more measurement items; an identification information reader configured to read identification information of each of a plurality of samples to be measured by at least one of the plurality of measurement units; and a computer that comprises a storage device configured to store the measurement results. The computer is configured to perform operations for an inter-instrument difference evaluation, the operations comprising: interrogating a storage device to identify a set of a plurality of measurement results obtained from a plurality of target measurement units, the set of the plurality of measurement results matching a condition for use in the inter-instrument difference evaluation; and generating evaluation information for the inter-instrument difference evaluation based on the set of the plurality of measurement results identified from the storage device.

Disclosed is a specimen measurement apparatus including a measurement unit configured to measure a specimen, the specimen measurement apparatus including: control software configured to control the measurement unit; data management software configured to manage data regarding the measurement unit that operates under control by the control software; and an interface configured to allow application software capable of being added to a system including the specimen measurement apparatus, to utilize the data, wherein a function of the system is expanded by the application software added to the system.

A specimen container sorter (40) connected to a rack transportation path (1a) along which a rack (100) loaded with a specimen container (110) is transported in a first direction to a specimen analyzer (62), the specimen container sorter including: a container storage mechanism (49) configured to store a plurality of the specimen containers, each containing a specimen; a container transfer mechanism (45) configured to transfer, from the container storage mechanism to the rack, the specimen container containing the specimen to be analyzed by the specimen analyzer; and a rack sending mechanism (48) that is arranged below the container storage mechanism in a height direction of the specimen container sorter and is provided with a rack placement position (P12) where the rack that has received the specimen container transferred by the container transfer mechanism is placed, wherein the rack sending mechanism is configured to move the rack, in a second direction perpendicular to the first direction.

A specimen measurement system (1) comprises: a measurement unit (2) configured to measure a specimen; and a control unit (7) configured to analyze measurement data. The measurement unit (2) comprises: a first reagent container (230) accommodating a first reagent containing a substance that binds to an analyte in the specimen; a reagent holder (23) configured to hold the first reagent container (230); a specimen processor (21) configured to prepare a measurement sample by mixing the first reagent and the specimen; and a detector (22) configured to interrogate the analyte. The measurement unit (2) is arranged on a housing (24) that stores a second reagent container (240) containing a second reagent used for: (i) washing of a flow path of the measurement unit (2), (ii) dilution of the specimen, (iii) preparation of the measurement sample, and (iv) interrogation of the analyte of the measurement sample by the detector (22).

Disclosed is a system (1) for supporting health management of an athletic player, comprising: a measuring device (40) configured to measure myoglobin contained in blood of the player; and a server (10) configured to record an exercise load of the player and a measured value of the myoglobin of the player, wherein the server is configured to provide the exercise load of the player and the measured value of the player in response to a request from a terminal (20, 30).

Disclosed is a system including a measurement unit configured to measure a specimen, the system comprising: control software configured to control the measurement unit; data management software configured to manage data regarding the measurement unit that operates under control by the control software; and an interface configured to allow application software capable of being added to the system, to utilize the data, wherein a function of the system is expanded by the application software added to the system.

Disclosed is a data management system configured to manage data regarding a specimen measurement system including a measurement unit configured to measure a specimen and control software configured to control the measurement unit, the data management system including: data management software configured to manage data regarding the measurement unit that operates under control by the control software; and an interface configured to allow application software capable of being added to the specimen measurement system, to utilize the data, wherein a function of the specimen measurement system is expanded by the application software added to the specimen measurement system.

Disclosed is a sample measurement apparatus configured to measure a sample collected from a subject, comprising: a measurement unit configured to execute a measurement of the sample, the measurement including preparing a measurement sample from the sample and a reagent and detecting at least optical signals corresponding to cells in the measurement sample; and an analysis unit configured to analyze the cells at least according to the optical signals detected in the measurement of the sample by the measurement unit, wherein the measurement unit is operable to selectively perform a plurality of measurement operations including: (1) a first measurement operation that includes the measurement of the sample using a first reagent containing a first fluorescent dye that stains leukocytes for classification of leukocytes; (2) a second measurement operation that includes the measurement of the sample using a second reagent containing a second fluorescent dye that stains cells suspected of malaria infection; and (3) a third measurement operation that includes the measurement of the sample using the first reagent and the second reagent.

Disclosed is a specimen analysis apparatus (1A, 1B, 1C, 1) comprising: a measurement unit (20) configured to acquire optical information of cells contained in a specimen by irradiating the cells with a plurality of diffracted lights generated by causing light to be incident on a diffractive optical element (215); and an analysis unit (30) configured to analyze the optical information obtained by the measurement unit (20) using an artificial intelligence algorithm to acquire first information on leukemic cells contained in the specimen.

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Disclosed is an isolated monoclonal antibody comprising a heavy chain and a light chain, wherein the heavy chain comprises CDR1, CDR2 and CDR3 consisting of amino acid sequences set forth in SEQ ID NOs: 1, 2 and 3, respectively, and the light chain comprises CDR1, CDR2 and CDR3 consisting of amino acid sequences set forth in SEQ ID NOs: 4, 5 and 6, respectively.

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Disclosed is a specimen analyzer for analyzing an analyte in a specimen, the specimen analyzer including: a measurement unit including a plurality of first sample preparation parts each configured to prepare a first measurement sample on the basis of the specimen and a first reagent, a second sample preparation part configured to prepare a second measurement sample on the basis of the specimen and a second reagent, and an optical detection part configured to obtain a first optical signal from the first measurement sample and obtain a second optical signal from the second measurement sample; and an analysis unit configured to analyze first data that corresponds to the first optical signal and second data that corresponds to the second optical signal, wherein the analysis unit executes analysis of a first measurement item with respect to the first measurement sample, through a first analysis operation of processing the first data according to an artificial intelligence algorithm, executes analysis of a second measurement item with respect to the first measurement sample, through at least one of the first analysis operation and a second analysis operation of processing a first representative value, of the first data, that corresponds to a feature of the analyte, and executes analysis with respect to the second measurement sample, through a third analysis operation of processing a second representative value, of the second data, that corresponds to a feature of the analyte.

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