A sample is measured using a cartridge from a batch comprising a plurality of cartridges of the same type. The measurement results measured in the process are evaluated. In order to evaluate the measurement results, reference results are used in addition, which reference results were measured previously, separately, during measurements of reference samples, using a plurality of cartridges of the same batch. An analyte of the sample is determined from the measurement results. During the evaluation, the reference results and/or measurement results are preferably normalized.

An apparatus for generating monitoring data for managing the state of a sample analyzer is provided. The apparatus includes a processing unit for generating output data for associating and displaying, in a time series, a sample information region indicating information related to measurement data acquired by a sample analyzer from a sample, and an operational information region indicating information related to the operation of the sample analyzer.

The present invention relates to systems and methods of determining quality compliance for one or more biological sample testing instruments used with one or more type of single-use blood testing cartridge, at the point-of-care in a hospital, or other location that deliver medical care. In particular, the systems and methods ensure that only instruments that pass a quality assurance protocol are used for point-of-care testing.

An optical device includes an optical filter having a substrate and a multilayer film having a plurality of layers with different refractive indexes formed on at least one side of the substrate, and an infrared light emitting and receiving device. The optical filter includes a wavelength range having an average transmittance of 70% or more with a width of 50 nm or more in a wavelength range of 2400 nm to 6000 nm, and has a maximum transmittance of 5% or more in a wavelength range of 6000 nm or more of the mid-infrared range.

A system, method and computer program product for generating a data record of a training dataset set configured to train a neural network for determination of the concentration of a particular target molecule in an NMR sample. An NMR spectrum associated with a known concentration of the target molecule is obtained. The obtained NMR spectrum is adjusted by applying a random shift to generate an adjusted NMR spectrum. A background generator adds a background spectrum which reflects contributions of impurities in the NMR sample. The resulting NMR spectrum together with the information about the concentration of the target molecule is then stored as a new data record of the training dataset.

An automatic analyzer includes sample vessels containing samples to be measured and; reaction vessels in which to mix a sample and a reagent. A sample dispenser 5 dispenses a sample from any of the sample vessels to any of the reaction vessels. A reagent dispenser dispenses a reagent from a reagent vessel to a reaction vessel, and a stirrer stirs the sample-reagent mix contained in the reaction vessel. A photometric measurement unit is provided for obtaining multiple measurement data points during the progress of reaction of a mixed solution. At least one approximation formula is performed and an approximation curve from the measurement data points is generated. A shape descriptor is calculated from the approximation curve and abnormalities based on the shape descriptor are determined. This not only allows abnormalities to be detected accurately from each measurement result, but also allows the causes of the abnormalities to be identified.

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.

A method for calibrating a sensor of a sensor system during operation comprises determining several raw measured values to determine several analyte concentrations of the medium flow through the sensor, saving the raw measured values in the memory of the sensor system, analyzing the stored raw measured values by the control unit of the sensor system, selecting a first reference value from the stored raw measured values based on the analysis, wherein a first expected concentration is assumed for the at least first reference value, and converting the first reference value into a first analyte concentration using the conversion function.

A signal reference value (SLocal) is set at which a blood coagulation reaction time (T) of a blood coagulation time reference sample measured on the basis of the result of comparing a signal value (amount of transmitted light, amount of scattered light, amount of fluorescence, or turbidity) pertaining to blood coagulation time that varies temporally according to the mixing and reaction of the blood coagulation time reference sample and a reagent and a signal reference value (S) corresponds to an expected value (Te) for the blood coagulation reaction time that has been set beforehand so as to correspond to the blood coagulation time reference sample. As a result, it is possible to use the blood coagulation time reference sample to determine the state of the reagent and enhance the reliability of measurement results by setting a unique signal reference value for each reagent container.

Described herein are methods and systems for the determination of constituents in biosamples by NMR spectroscopy and more specifically for the determination of lipoprotein constituents LP-X, LP-Y, and LP-Z in blood plasma and serum.