Systems and methods are provided for sample processing. A device may be provided, capable of receiving the sample, and performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing multiple assays. The device may comprise one or more modules that may be capable of performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing the steps using a small volume of sample.

The present invention relates to methods, devices and systems for associating assay information with an assay consumable used in a biological assay. Provided are assay systems and associated consumables, wherein the assay system includes a reader adapted to read/erase/write information from/to an assay consumable identifier associated with the assay consumable. Various types of assay information are described, as well as methods of using such information in the conduct of an assay by an assay system.

Systems and methods are provided for sample processing. A device may be provided, capable of receiving the sample, and performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing multiple assays. The device may comprise one or more modules that may be capable of performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing the steps using a small volume of sample.

A GUI is used to schedule a set of tasks for one or more robots to test samples using one or more instruments. A set of drivers are used to map instructions for the robots and instruments form a standardized format to a set of instrument/robot-specific formats. Using the standardized formats enables support for new types of robot and/or instrument to be easily added to the system. The robots and instruments generate test results from samples according to the instructions. Information about the testing may be stored in conjunction with user identifiers and other metadata to provide a verifiable audit trail across the instruments and robots.

The present invention relates to methods, devices and systems for associating assay information with an assay consumable used in a biological assay. Provided are assay systems and associated consumables, wherein the assay system includes a reader adapted to read/erase/write information from/to an assay consumable identifier associated with the assay consumable. Various types of assay information are described, as well as methods of using such information in the conduct of an assay by an assay system.

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.

A laboratory system for a laboratory automation system is presented. The laboratory system comprises a sample container carrier. The sample container carrier is configured to carry a laboratory sample container and comprises a removal detector. The removal detector is configured to interact with the laboratory sample container to detect a removal of the carried laboratory sample container from the sample container carrier. Furthermore, the laboratory system is configured to determine based on the detected removal that a before valid logic assignment of the sample container carrier to the carried laboratory sample container is invalid.

A method for predicting a failure state of an automated analyzer for analyzing a biological sample is disclosed. The method includes obtaining a prediction algorithm for predicting a failure state of an automated analyzer. The prediction algorithm is configured to predict a failure state of the automated analyzer based on calibration data and/or quality control data generated by an automated analyzer. The method also includes obtaining calibration data and/or quality control data of the automated analyzer and processing the calibration data and/or quality control data by using the prediction algorithm to predict a failure state of the automated analyzer.

The present invention lies in the field of automated analyzers and relates to an automated warning system for potentially erroneous measurement results, which may be caused by the loss of a liquid container during a transport process.

Generally discussed herein are systems, apparatuses, and methods that relate to detecting an error in a laboratory analyzer. A device may include an average of deltas (AoD) module to receive pairs of consecutive measurement values of an analyte of one or more patients, each pair of consecutive measurement values including a first measurement of an analyte obtained from a patient of the one or more patient at a first time and a second measurement of an analyte obtained from the patient at a second time after the first time, determine a time delta between each pair of consecutive measurement values, determine whether the time delta is within a specified time window, determine a measurement value deltas between each pair of consecutive measurement values that includes a time delta with the specified time window, and determine an AoD using the determined measurement value deltas.