A sample measurement system may include: a measurement unit that measures a sample in a sample container; a transport unit that transports a rack that can hold sample containers, via the measurement unit; a collection unit that is detachably provided with a tray in which racks can be set, and that collects the rack transported from the measurement unit by the transport unit and sets the rack in the tray; a storage that stores sample identification information, rack identification information, and tray identification information in association with each other; an input part; a display part; and a controller that, in a condition in which the input part receives input of the sample identification information or the rack identification information, causes the display part to display the tray identification information stored in association with the inputted sample identification information or the inputted rack identification information.

An automated method for handling an in-vitro diagnostics IVD container in an IVD laboratory is proposed. The method comprises at least the steps of measuring at least one physical quantity of an IVD container, storing the at least one physical quantity in a read and writeable data carrier attached to the IVD container, and retrieving the at least one physical quantity from the read and writeable data carrier attached to the IVD container.

An automatic analyzer includes: a diluted sample holding unit configured to hold dilution containers into which a diluted sample is dispensed; a reaction container holding unit configured to hold reaction containers; a dispensing device configured to dispense the diluted sample from the dilution containers to the reaction containers; a measuring unit configured to perform optical measurement of the diluted sample reacted with reagents corresponding to test items in the reaction containers; a storage unit configured to store information on the diluted sample associated with each of the dilution containers; and a dispensing control unit. The dispensing control unit extracts a dilution container for collecting the diluted sample for retest by searching for the information on the diluted sample stored in the storage unit, and causes the dispensing device to perform a retest dispensing process.

The present disclosure also relates to systems and methods for quality control in histology systems. In some embodiments, a method is provided that includes receiving a tissue block comprising a tissue sample embedded in an embedding material, imaging the tissue block to create a first imaging data of the tissue sample in a tissue section on the tissue block, removing the tissue section from the tissue block, the tissue section comprising a part of the tissue sample, imaging the tissue section to create a second imaging data of the tissue sample in the tissue section, and comparing the first imaging data to the second imaging data to confirm correspondence in the tissue sample in the first imaging data and the second imaging data based on one or more quality control parameters.

The present disclosure also relates to systems and methods for quality control in histology systems. In some embodiments, a method is provided that includes receiving a tissue block comprising a tissue sample embedded in an embedding material, imaging the tissue block to create a first imaging data of the tissue sample in a tissue section on the tissue block, removing the tissue section from the tissue block, the tissue section comprising a part of the tissue sample, imaging the tissue section to create a second imaging data of the tissue sample in the tissue section, and comparing the first imaging data to the second imaging data to confirm correspondence in the tissue sample in the first imaging data and the second imaging data based on one or more quality control parameters.

A computer-implemented method for spectroscopic analysis of biological material is provided that includes analyzing samples of biological material from a plurality of sources, and delivering samples of biological material to at least one flow cell for spectroscopy, and determining whether the spectroscopic analysis for each sample of the plurality of samples is or is predicted to be ambiguous in that it is affected by at least two non-discriminable factors. If such a determination is made, a disambiguating step can be performed.

A sample testing system comprising: a transporting apparatus; a testing apparatus for obtain a sample and performing testing on the obtained sample; and a controller. The controller executes operation of: controlling the transporting apparatus so as to transport the sample rack in first direction, such that each sample container held in a sample rack is transported to a obtaining position on which the testing apparatus obtains a sample and then the sample rack is transported toward the second position; changing, when retesting of a sample contained in a sample container is necessary, the transporting direction from the first direction to second direction, and then controlling the transporting apparatus so as to transport the sample container accommodating the sample, for which retesting is necessary, to the obtaining position again. Sample testing method and a computer program product are also disclosed.

This automated analysis device is provided with a plurality of analysis units for analyzing a specimen, a buffer portion which holds a plurality of specimen racks on which are placed specimen containers holding the specimen, a sampler portion which conveys the specimen racks held in the buffer portion to the analysis units, and a control portion which, when performing a process to deliver the specimen racks to the plurality of analysis units, outputs synchronization signals to all the plurality of analysis units, wherein the analysis unit performs a delivery process starting from the synchronization signal, and the analysis unit performs a delivery process starting from the synchronization signal.

An automatic analysis device includes: a factor storage unit 12b which stores each factor previously specified as a factor that could affect measurement accuracy of each of measurement items, while associating each factor with each measurement item; an abnormality judgment unit 103a which judges the presence/absence of an abnormality in a measurement value of each measurement item on the basis of an approximation formula and approximation formula parameters stored in an approximation formula storage unit 12a; and a factor judgment unit 103b which refers to the results of the judgment by the abnormality judgment unit 103a in a preset order, and would judge as an abnormality factor a factor stored in the factor storage unit 12b in association with a measurement item as an abnormality factor in a case where a plurality of measurement values regarding the measurement item have consecutively been judged to be abnormal. The operator is informed of the abnormality factor on the basis of the result of the judgment by the factor judgment unit 103b. With this configuration, deterioration in the measurement accuracy can be reduced through the detection of an abnormality in the measurement result and the determination of the causative factor.

A computer-implemented method for spectroscopic analysis of biological material is provided that includes analyzing samples of biological material from a plurality of sources, and delivering samples of biological material to at least one flow cell for spectroscopy, and determining whether the spectroscopic analysis for each sample of the plurality of samples is or is predicted to be ambiguous in that it is affected by at least two non-discriminable factors. If such a determination is made, a disambiguating step can be performed.