An automated laboratory system for processing biological samples in a batch type manner is disclosed. In one embodiment, the system may receive assay instructions for biological samples processing among a plurality of devices. The devices may include a pre-analytical instrument and one or more analysis systems. The system may include an orchestration core application for determining an order of performance for the assays ordered for the samples.

An automated laboratory system for processing biological samples in a batch type manner is disclosed. In one embodiment, the system may receive assay instructions for biological samples processing among a plurality of devices. The devices may include a pre-analytical instrument and one or more analysis systems. The system may include an orchestration core application for determining an order of performance for the assays ordered for the samples.

The present disclosure refers to a method for detecting and reporting an operation error in an in-vitro diagnostic system (1) for determining a sample of a bodily fluid, comprising: providing a plurality of sample vessels (2) each containing a sample of a bodily fluid; and providing a plurality of functional modules (3), comprising an analysis device (4) configured to determine the sample, a handling system (5) configured to handle the plurality of sample vessels (2), and an automation track (6) provided by the handling system (5) and configured to transport the plurality of sample vessels (2) to the analysis device (4). The method further comprises: providing an operation control device (7) connected to at least one of the functional modules (3) and configured to control operation of the at least one functional module (3), and comprising one or more data processors (8), wherein an application software is running on the one or more data processors (8) for controlling operation of the at least one functional module (3); controlling operation of the at least one functional module (3) by the operation control device (7); and detecting and reporting an operation error by an error detecting and reporting device (9), comprising: detecting the operating error for the operation of at least one of the plurality of functional modules (3) and the operation control device (7), providing error data indicative of the operation error, receiving a user input through a user interface (10) after detecting the operation error, providing labelling data in response to receiving the user input, the labelling data being indicative of information related to the operating error in addition to the error data, providing error report data comprising the error data and the labelling data, and transmitting the error report data to an error repository (11) remotely located with respect to both the plurality of functional modules (3) and the operation control device (7); receiving the error report data in a machine learning process running in a data processing device connected to the error repository (11); processing the error report data by the machine learning process in the data processing device; providing a application software update for the application software in response to the processing of the error report data by the machine learning process in the data processing device; providing the application software update to the operation control device (7); and controlling operation of the at least

A monitoring device for monitoring a sample handling system comprising: a sliding unit comprising a sliding surface, wherein the sliding unit is configured for sliding over a sample transport device of the sample handling system; and an imaging streaming unit comprising a camera, wherein the camera is configured for capturing a plurality of images, wherein the imaging streaming unit comprises an imaging communication interface for providing the plurality of captured images to a transport control system of the sample handling system. Further disclosed is a transport control system for controlling transport of a plurality of sample container holders of a sample handling system, a sample handling system for handling a plurality of samples, a method for identifying an obstacle, a method for determining a distance between the obstacle and a monitoring device and a method for controlling a monitoring device and computer programs and computer-readable storage media for performing the methods.

The purpose of the present invention is to provide: an automatic analyzer that reduces the frequency of manual cleaning of a probe and that has a higher analysis efficiency; and a method for cleaning a probe. For this purpose, an automatic analyzer according to the present invention comprises: a probe that dispenses a liquid; and a clogging detection unit that detects clogging of the probe. When the clogging detection unit detects clogging of the probe, the probe is cleaned with a liquid having an adjusted temperature. In addition, a method for cleaning a probe that dispenses a liquid according to the present invention involves cleaning the probe with a liquid having an adjusted temperature when a clogging detection unit detects clogging of the probe.