Hitachi-high-technologies Corporation

Roche Diagnostics Operations, Inc.

Boehringer Mannheim Gmbh

Peter Wolf

Fridl Lang

Osamu Matsumoto

Shigeki Matsubara

Kenji Teshigawara

Roland Ihrig

Sylvia Rosenblatt

Christoph Berding

Bela Molnar

Atsushi Watanabe

Sayaka Sarwar

Rainer Schafer

Kazuhiro Shimada

Wilheim Kleider

Rainer Schaefer

An automatic analyzer includes: first reagent storing means for storing a plurality of the reagent containers; second reagent storing means for storing a replacement reagent container in addition to the first reagent storing means; transfer means for transferring the reagent container from the second reagent storing means to the first reagent means; and a storing portion for storing the reagent container discharged from the second reagent storing means. The automatic analyzer includes control means for exercising control such that the information write means writes reagent information on the information recording medium immediately before the reagent container is transferred from the second reagent storing means to the first reagent storing means or immediately before the reagent container is discharged from the second reagent storing means to the storing portion.

Automatic analyzer

Unlike conventional reagent storing means of an analyzing unit having a cold-storage function, replacement reagent storing means having no cold-storage function requires reagent management of a higher order. An automatic analyzer is provided that manages the placing elapsed time for a reagent vessel in replacement reagent storing means 2, compares the placing elapsed time for the reagent with a permissible placing limit value stored as one of analysis parameters for each analysis item, and determines as to whether or not the placing elapsed time exceeds permissible limit value. In this way, the analyzer prevents the degradation of the reagent and automatically transfers the reagent to an analyzing section for performing measurement.

A method for the analysis of a component of a medical sample with the aid of an autoanalyzer, in which the sample is reacted with a reagent system and a physically measurable quantity X resulting from the reaction of the sample with the reagent system is measured in order to determine at least one measured value R for a specified sample and in which this at least one measured value R is further processed with the aid of a processing unit in a processing stage in order to determine an analytical result A. In the processing stage of the invention, use is made of the results of a neural net training, in which, for a number of standard samples for which the analytical result A is known, at least one measured value R, or a measurement result derived from several measured values R.sub.i, is applied to the input of a neural net.

Method for the analysis of a component of a medical sample

Method for the analytical determination of the concentration of a component of a medical sample, in which a reaction of the sample with reagents leads to a time-dependent change S(t) in a measured quantity S and the concentration C correlates according to an evaluation curve C(X) with an input variable X derived from S(t), in which the calibration curve is ambiguous for at least a portion of the possible X values. In order to assign an input variable X to one of the sub-sections and thereby to obtain an unambiguous correlation to a particular concentration C, a training run and an analysis run are performed. In the training run, a discrimination algorithm is performed at least once, in which a discriminator set is generated from measurements of S(t), a score is generated in each case from the latter with a multivariate statistical technique and it is checked whether the scores can be divided into separate subsets, in which the concentrations are correctly assigned to the sub-sections of the calibration curve. The discrimination algorithm is repeated with different discriminator sets generated according to different generation methods from the measurements of S(t), in order to establish an operative discrimination algorithm. In the analysis run, an analysis score is calculated from measurements of S(t) according to the operative discrimination algorithm, the analysis score is compared with the boundary score and the measurement result is assigned to one of the sub-curves of the calibration curve by comparison of the analysis score with the boundary score.

Method for the analytical determination of the concentration of a

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Peissenberg, Germany

Peter Wolf