Abstract: 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.

Abstract: A plunger 66 is moved downwardly in predetermined distance while the tip of the sample probe 15 is immersed in a sample to suck the sample into the probe. A pressure sensor 26 detects the pressure fluctuation during the suction operation, an AD converter converting the signals into digital signals to send the signals for a signal processing unit 76. The signal processing unit 76 extracts feature variables data of a suction waveform to calculate the Statistical distance D from normal group data. The Statistical distance D an a threshold value th are compared with each other, it is judged that there is an abnormality in the suction operation when the Statistical distance D is more than or equal to the threshold value th. When the Statistical distance D is smaller than the threshold value th, an operation is proceeded to a discharge operation.

Abstract: An automatic analyzer which performs a suction operation a plurality of times on a same sample has a sample dispensing unit 9, a liquid level sensor which detects the liquid level of the sample in a sample vessel 8, an arithmetic unit 5 which computes a liquid level height h1 at the end of a first suction operation of the two consecutive suction operations from a liquid level height h0 and a sample suction volume V1 detected at the start of the first suction operation, a storage unit 7 which stores the liquid level height h1 computed by the arithmetic unit 5, and a determination unit 18 which compares a liquid level height h2 detected at the start of a second suction operation following the first suction operation with the liquid level height h1 at the end of the first suction operation.

Abstract: Accuracy control of an automatic analysis device that mixes a sample and a reagent to measure temporal change of a mixed solution is realized. A plurality of measurement point data is acquired from a reaction process of the sample and the reagent. Parameters and test values of approximate equations for approximating the plurality of measurement point data are accumulated in a storage unit. A distribution map of reference data corresponding to the parameters or the test values is created based on predetermined numbers of the parameters or the test values accumulated in the storage unit. Next, a plurality of screens for individually superimposing, on the distribution map, curved lines corresponding to a plurality of regression function candidates obtained by applying a plurality of regression functions are arranged and presented on a display screen, so as to approximate the data to the distribution map of the reference data.

Abstract: Realized is an automatic analyzer that allows appropriate setting of analytical parameters which incorporate batch-to-batch variations in characteristics of reagents. The analytical parameters 35, consisting of fixed parameters 37 and variable parameters 38, are stored into a storage unit of the automatic analyzer. The fixed parameters 37 include a reagent-dispensing quantity, a sample-dispensing quantity, measuring wavelength, and the like, each of which becomes a pivot for measurement of a sample, and parameters to be used are selected from an item code and bottle code assigned to a reagent bottle 36. The variable parameters 38 include a linearity check value, a prozone check value, reaction limit absorbance, technical limits, first standard solution absorbance, variation allowable absorbance, and the like, each of which is associated with sample-measurement result checks.

Abstract: 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.

Abstract: There is provided a technique for automatically determining or predicting a line range specific to a sample that appears in a reaction curve in an automated analyzer for mixing a specimen and a reagent and measuring a change in a mixture of the specimen and the reagent with time. This invention approximates reaction curve data by a function and automatically determines a curve part at an early stage or a second stage of a reaction. The invention determines a line range not including a curve part for each sample and calculates a laboratory test value using absorbance data within the determined line range. This invention also automatically determines a start time of line at the early stage of the reaction on the basis of absorbance data obtained up to a point halfway through the reaction curve, predicts a line range on the basis of the end time of line and a planned end time of line, and calculates a predictive value on the basis of a result of the prediction.

Abstract: In known automatic analyzers for detecting an abnormality by approximating reaction process data using a function, accuracy of detecting a reaction abnormality is degraded because of poor approximation accuracy depending on test items. Data processing means stores the absorbance and time of day at which the absorbance is measured as time-series data. Letting x denote absorbance, t denote time, and * denote a symbol representing multiplication, we have a function x=a0+a1*exp(?k1*t)+a2*exp(?k2*t). Values of parameters a0, a1, a2, ai, k1, and k2 are calculated so that a difference between the absorbance at the measured time calculated using the above expression and the time-series data is minimal, and presence of an abnormality is determined based on the parameter values.

Abstract: Measurement of the uncertainty used for quality control typically involves a plurality of factors. When the uncertainty exceeds a clinical permissible value, time is required for a medical technologist to investigate and to determine the factor causing the uncertainty. It is thus beneficial to automatically investigate factors in complicated uncertainty, particularly from the view point of reagents and samples which are subject to quality change and that are prone to affect the measurement quality. Quality control samples having a plurality of concentration levels are measured to calculate the average, coefficient of variation, standard deviation, and other numerical values. When quality control samples having n (n?2) different concentration levels are measured, variation patterns determine the factor causing the uncertainty, the factor being specific to each of 3n different combinations of variation patterns.

Abstract: To change a photometric time for each item or to change a measurement time for each specimen so that time required for biochemical measurement can be reduced, an index that indicates an end of a reaction is required. Unfortunately, however, no methods have been available for determining the end of the reaction. In measuring a substance to be measured contained in a sample, a parameter in an approximate expression is calculated using a measured value that changes with time, a degree of convergence of a reaction is determined according to a degree of convergence of the parameter, and a measured value at the end of the reaction is calculated using the parameter at a point in time at which it is determined that the reaction has converged.

Abstract: Provided are an automated analyzer and an automatic analysis method for highly accurately determining presence or absence of abnormality based on reaction process data obtained when concentration of a chemical component or an activity level of an enzyme is measured. The reaction process data is approximated by a function, and shape feature quantities indicating features of a shape of a curve section at an early stage of reaction are calculated. The obtained shape feature quantities are used to determine the presence or absence of abnormality.

Abstract: Abnormality causes are automatically identified during daily quality control, based on the focused consideration of complex uncertainty factors and, especially, of the causes of device-side abnormalities (i.e., abnormalities of the optical system and the dispenser mechanism), the latter of which are often difficult to identify. The analyzer performance that affects measurement results can be estimated from analysis parameters and calibration results. Thus, uncertainty estimates are automatically calculated for each analysis item during quality control, and the estimates are compared with uncertainties obtained during actual QC sample measurement, thereby monitoring and evaluating the analyzer performance. Also, measurements are performed on QC samples of multiple concentrations that contain substances known to subject to particular influences such as those of the optical system, sample dispenser, and reagent dispenser, so that the causes of abnormalities can be identified.

Abstract: An object of the present invention is to automatically investigate factors in complicated uncertainty, particularly from the view point of reagents and samples which are subject to quality change and prone to affect the measurement quality. To accomplish the above object, quality control samples having a plurality of concentration levels are measured to calculate the average, coefficient of variation, standard deviation, and other numerical values. When quality control samples having n (n>=2) different concentration levels are measured, the present invention provides the method to presume the factors in uncertainty, the factors being specific to each of 3n different combinations of variation patterns.

Abstract: This invention relates to a simple method for evaluating stress of a normal healthy subject with high accuracy is provided. In this method, the expression profile of specific genes that serve as stress marker genes is analyzed, and stress of the subject is evaluated based on the analysis results.