Abstract: A system and method for reducing the responsibility of the user significantly by applying an optical system that can identify container like sample tubes with respect to their characteristics, e.g., shapes and inner dimensions, from their visual properties by capturing images from a rack comprising container and processing said images for reliably identifying a container tyle.

Abstract: An optical measurement unit for a scanning device, a scanning device, and a method for operating a scanning device, for high throughput sample analysis of biological samples are disclosed. An illumination system is used to emit light of at least two different illumination wavelength ranges, and an imaging system is used to detect light of at least two different detection wavelength ranges, in order to detect electromagnetic radiation within a field of view for determining the positioning of a sample within the field of view.

Abstract: The present disclosure is directed to an optical measurement unit for a scanning device, to a scanning device and a method for operating a scanning device, for high throughput sample analysis of biological samples, wherein an illumination system is used to emit light of at least two different illumination wavelength ranges, and wherein an imaging system is used to detect light of at least two different detection wavelength ranges, in order to detect electromagnetic radiation within a field of view for determining the positioning of a sample within the field of view.

Abstract: Methods are provided for deriving/determining an analyte concentration that include recording measurement values during a time development indicating a progress of a detection reaction of at least one test substance and a body fluid sample and providing at least one measurement curve F(t) containing the measurement values, where the detection reaction is known to be influenced by the analyte concentration and at least one disturbance variable Y. The methods also include deriving an end value of the measurement curve to form a first variable x1, and deriving at least one fit parameter by taking into account an exponential characteristic of the measurement curve, and where the fit parameter forms at least one second variable x2. The methods further include deriving/determining the analyte concentration by using at least one multivariate evaluation algorithm adapted to combine x1 and x2. Also provided are computer programs and devices that incorporate the same.

Abstract: Methods are provided for detecting an analyte concentration/presence in a body fluid sample that include providing a set of at least two different evaluation rules, each evaluation rule adapted to derive a set characteristic values from an optical measurement curve, where at least one first characteristic value is derived from at least one first evaluation rule and at least one second characteristic value is derived from at least one second evaluation rule. The methods also include performing at least one multivariate analysis of the at least one first and second characteristic values by using at least one predetermined multivariate evaluation algorithm to derive at least one estimate value for at least one target variable Y of the state variables. The methods also include determining at least one analyte concentration by using the at least one target variable Y. Also provided are computer programs and devices that incorporate the same.

Abstract: Methods are provided for deriving/determining an analyte concentration that include recording measurement values during a time development indicating a progress of a detection reaction of at least one test substance and a body fluid sample and providing at least one measurement curve F(t) containing the measurement values, where the detection reaction is known to be influenced by the analyte concentration and at least one disturbance variable Y. The methods also include deriving an end value of the measurement curve to form a first variable x1, and deriving at least one fit parameter by taking into account an exponential characteristic of the measurement curve, and where the fit parameter forms at least one second variable x2. The methods further include deriving/determining the analyte concentration by using at least one multivariate evaluation algorithm adapted to combine x1 and x2. Also provided are computer programs and devices that incorporate the same.

Abstract: Methods are provided for detecting an analyte concentration/presence in a body fluid sample that include providing a set of at least two different evaluation rules, each evaluation rule adapted to derive a set characteristic values from an optical measurement curve, where at least one first characteristic value is derived from at least one first evaluation rule and at least one second characteristic value is derived from at least one second evaluation rule. The methods also include performing at least one multivariate analysis of the at least one first and second characteristic values by using at least one predetermined multivariate evaluation algorithm to derive at least one estimate value for at least one target variable Y of the state variables. The methods also include determining at least one analyte concentration by using the at least one target variable Y. Also provided are computer programs and devices that incorporate the same.

Abstract: Methods are provided for deriving/determining an analyte concentration that include recording measurement values during a time development indicating a progress of a detection reaction of at least one test substance and a body fluid sample and providing at least one measurement curve F(t) containing the measurement values, where the detection reaction is known to be influenced by the analyte concentration and at least one disturbance variable Y. The methods also include deriving an end value of the measurement curve to form a first variable x1, and deriving at least one fit parameter by taking into account an exponential characteristic of the measurement curve, and where the fit parameter forms at least one second variable x2. The methods further include deriving/determining the analyte concentration by using at least one multivariate evaluation algorithm adapted to combine x1 and x2. Also provided are computer programs and devices that incorporate the same.

Abstract: Methods are provided for detecting an analyte concentration/presence in a body fluid sample that include providing a set of at least two different evaluation rules, each evaluation rule adapted to derive a set characteristic values from an optical measurement curve, where at least one first characteristic value is derived from at least one first evaluation rule and at least one second characteristic value is derived from at least one second evaluation rule. The methods also include performing at least one multivariate analysis of the at least one first and second characteristic values by using at least one predetermined multivariate evaluation algorithm to derive at least one estimate value for at least one target variable Y of the state variables. The methods also include determining at least one analyte concentration by using the at least one target variable Y. Also provided are computer programs and devices that incorporate the same.