Patent classifications
G01N2035/00653
SPECIMEN ANALYZER AND SPECIMEN ANALYSIS METHOD
The specimen analyzer includes: an input unit which receives an input of subject attribute information; an analysis unit which performs measurement of a specimen collected from a subject, and which performs analysis of the specimen based on a measurement result and the subject attribute information received by the input unit; and a controller which causes the analysis unit to be incapable of analyzing the specimen unless the input of the subject attribute information is performed with the input uni.
METHOD AND SYSTEM FOR PERFORMING QUALITY CONTROL ON A DIAGNOSTIC ANALYZER
A method for performing quality control on a diagnostic analyzer includes receiving control measurement values from each of a plurality of diagnostic analyzers. A quality control measurement value is received from a target diagnostic analyzer. The quality control measurement value is compared with statistical criteria associated with the plurality of quality control measurement values received from the plurality of diagnostic analyzers. A comparison result is communicated to a user interface associated with the target diagnostic analyzer.
REDUCING FALSE COUNTS IN CONDENSATION PARTICLE COUNTERS
Various embodiments include methods and apparatuses to reduce false-particle counts in a water-based condensation particle counter (CPC). In one embodiment, a cleanroom CPC has three parallel growth tube assemblies. A detector is coupled to an outlet of each of the three parallel growth tube assemblies, and is used to compare the particle concentrations measured from each of the three growth tube assemblies. An algorithm compares the counts from the three detectors and determines when the particles counted are real and when they are false counts. Any real particle event shows up in all three detectors, while false counts will only be detected by one detector. Statistics are used to determine at which particle count levels the measured counts are considered to be real versus false. Other methods and apparatuses are disclosed.
METHOD OF GENERATING QUALITY CONTROL INFORMATION, APPARATUS FOR GENERATING QUALITY CONTROL INFORMATION, AND PROGRAM
A method of generating smear quality control information according to an embodiment may include: obtaining a plurality of image data from a plurality of smears, respectively; obtaining, from the plurality of image data, feature values each of which reflects a staining state of each smear; and generating quality control information based on the feature values.
Core calibration of analyzers
Methods and systems for determining a dose of an analyte in an unknown sample on an instrument, such as a nucleic acid analyzer, immunoassay analyzer, or clinical chemistry analyzer using a reagent from a selected assay lot are described. The methods and systems use core dose-response information based on measurements of response values to a set of calibrators on a plurality of other instruments and assay lot-specific response information to calibrate the instrument.
Maintenance method for a laboratory system
A maintenance method for a laboratory system comprising a first and second group of laboratory instruments for processing biological samples, data collection components connected to the groups of instruments, and a remote maintenance system connected to the data collection components is presented. The method comprises collecting operational data from the laboratory instruments by the data collection components, detecting an anomaly related to the laboratory instruments by a first data collection component, transmitting context data to the remote maintenance system upon detection of an anomaly, determining correlation(s) between the operational data and the anomaly(s), validating the correlation(s), determining at the remote maintenance system predictive rules corresponding to validated correlations, transmitting the predictive rule(s) to the data collection components, and predicting occurrence of an anomaly of laboratory instruments based on the one or more predictive rule(s) by the data collection components.
METHOD OF QUALITY CONTROL, QUALITY CONTROL APPARATUS, AND PROGRAM
A method of quality control of a specimen prepared from a sample according to an embodiment may include: setting, from a control index information (MII) in which a plurality of indexes for the specimen are respectively associated with control values corresponding to the plurality of indexes, at least one index to be used for quality control of the specimen; obtaining a feature value relating to the at least one index from image data of the specimen; and outputting quality control information of the specimen based on the feature value and a control value associated with the at least one index.
QUALITY CONTROL METHOD, QUALITY CONTROL SYSTEM, MANAGEMENT APPARATUS, ANALYZER, AND QUALITY CONTROL ABNORMALITY DETERMINATION METHOD
Provided are a quality control method, a quality control system, a management apparatus, an analyzer, and a quality control abnormality determination method in which measurement results of both a quality control substance and a specimen are sufficiently utilized to improve the quality of quality control. The quality control method used in a management apparatus which is connected via a network to an analyzer installed in each of a plurality of facilities includes obtaining, from an analyzer in each facility via a network, first quality control information obtained by measuring an artificially generated quality control substance, and second quality control information obtained by measuring a plurality of specimens by the analyzer in each facility; and outputting information concerning quality control of an analyzer in at least one facility, based on the obtained first quality control information and second quality control information.
TROUBLESHOOTING BY PROXIMITY INTERACTION AND VOICE COMMAND
A system and method for presenting laboratory data to a user are presented. The system comprises a perception component for continuously gathering in-situ context data regarding a laboratory and the user, a user modeling component for receiving the in-situ context data from the perception component to create a user specific model for each user, a laboratory device awareness component for monitoring the status, performance, alarms, and/or maintenance of the laboratory devices, a notification component for receiving the in-situ context data from the perception component and the laboratory device status data from the laboratory device awareness component and for processing and determining which data from the in-situ context data and the laboratory device status data are to be presented to the user, and a presentation component for presenting the processed data from the notification component. The presented data comprises both public and private notification of the data to the user.
ANALYSIS DEVICE MANAGEMENT SYSTEM AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM
An analysis device management system manages one or a plurality of analysis devices and includes a first generator that one-to-one corresponds to each analysis device and manages state information of a corresponding analysis device, a storage that stores the module, a receiver that receives an analysis execution request for using the one or plurality of analysis devices, and a state manager that updates the state information of one or a plurality of modules corresponding to the one or plurality of analysis devices designated by the received analysis execution request.