Systems and methods for use in an in vitro diagnostics setting incorporating existing or additional sensors in an automation system to assess the health and maintenance status of the automation system are disclosed. Such systems include any of a variety of sensors, such as Hall Effect sensors, temperature probes/thermocouples, ohm meters, volt meters, etc., which are in communication with a local or preferably remote monitoring station that can alert a user or maintenance personnel of needed service.

An automatic sample injection device includes: an; and a management device. The injector includes: a turret; and a vial sensor. The management device includes: a condition setting unit configured to set a condition relating to a type of a vial to be used in the sample injection operation, based on information input by a user; and a vial determination unit configured to determine, before the injector initiates the sample injection operation, whether or not there is a missing vial on the turret out of the vials of the plurality of types set to be used in the sample injection operation under a condition set by the condition setting unit, by using a detection result of the vial sensor.

Provided is an automatic analyzer, into or out of which a reagent bottle is automatically carried, capable of reducing a burden of an operator than in the past and preventing suspension of the analyzer. The automatic analyzer includes ribs 300 in a reagent disc 9 or ribs 400 in a reagent loading unit 103, a reflection sensor 200 provided in a reagent transport mechanism 101 to detect the ribs 300 or 400, and a controller 21 that adjusts a transport parameter of the reagent transport mechanism 101 using positions of the ribs 300 or 400 detected by the reflection sensor 200.

The present invention provides a system that makes a recommendation, to an operator, of a countermeasure method considered appropriate from a precursory stage of abnormality. This recommended action notification system comprises: a plurality of automatic analyzers 51 that include a first automatic analyzer; and a learning device 52 that is connected to a network 53. The recommended action notification system is for making a recommendation to an operator for an action to be executed on the first automatic analyzer. Said recommended action notification system is provided with: a processing portion 63 that receives specimen analysis result data or maintenance result data from the first automatic analyzer, that inputs related device data including the specimen analysis result data or the maintenance result data to learning models 72, and that, when a probability value that is for recommending execution of a predetermined action and that is outputted by a learning model is equal to or higher than a predetermined threshold value, makes a recommendation to the operator for the predetermined action to be executed on the first automatic analyzer; and an update portion 71 that updates the learning model on the basis of the learning dataset from the plurality of automatic analyzers.

A system is provided to automatically monitor and control the operation of a microfluidic device using machine learning technology. The system receives images of a channel of a microfluidic device collected by a camera during operation of the microfluidic device. Upon receiving an image, the system applies a classifier to the image to classify the operation of the microfluidic device as normal, in which no adjustment to the operation is needed, or as abnormal, in which an adjustment to the operation is needed. When an image is classified as normal, the system may make no adjustment to the microfluidic device. If, however, an image is classified as abnormal, the system may output an indication that the operation is abnormal, output an indication of a needed adjustment, or control the microfluidic device to make the needed adjustment.

In example implementations, a method is provided. The method may be executed by a processor of a fluid dispensing apparatus. The method includes detecting a pause signal due to a surface load error. Corrective actions are initiated in response to the pause signal. A continue signal is received after the corrective actions are completed and a correct microplate is loaded into the fluid dispensing apparatus. Fluids are then dispensed into wells of the correct microplate.

A system is provided to automatically monitor and control the operation of a microfluidic device using machine learning technology. The system receives images of a channel of a microfluidic device collected by a camera during operation of the microfluidic device. Upon receiving an image, the system applies a classifier to the image to classify the operation of the microfluidic device as normal, in which no adjustment to the operation is needed, or as abnormal, in which an adjustment to the operation is needed. When an image is classified as normal, the system may make no adjustment to the microfluidic device. If, however, an image is classified as abnormal, the system may output an indication that the operation is abnormal, output an indication of a needed adjustment, or control the microfluidic device to make the needed adjustment.

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 invention relates to a feeding system (10) having a feeding apparatus (30) for conveying laboratory vessels for samples, microorganisms, cell cultures or the like, and a carrier (12) having one or plural holders (16) for storing laboratory vessels, which feeding apparatus (30) has a loading area (36) and an unloading area (46) remote from the loading area (36) in which plural laboratory vessels can be stored in a vertically stacked configuration, with each receiving unit (34) being coupled to an endless conveyor unit (38) which transports the receiving unit (34) from the loading area (36) to the unloading area (46), and in which the carrier (12) can be used to introduce laboratory vessels into one or plural receiving units (34) in the loading area (36), for which purpose the carrier (12) is at least partially slid over the at least one receiving unit (34) which is to be loaded or unloaded, and for this purpose has projections (28, 32) and/or recesses that are associated with the carrier (12) and are provided in the loading area (36) of the feeding apparatus (30), which will result in positive locking of the feeding apparatus (30) and the carrier (12) when the carrier (12) has been inserted in the loading area (36). According to the invention, the carrier (12) has at least two holders (16) and the positive locking of the carrier (12) and the receiving unit (34) in the loading area (36) of the feeding apparatus (30) will allow only a single predefined orientation of the carrier (12) in the loading area (36).

In medical analysis devices and automatic specimen examination systems, the specimen conveyance mechanism is constituted by a plurality of belt lines. During installation or maintenance of the specimen conveyance mechanism, it is necessary to confirm the existence of steps at the joints of these belt lines and the parallelism of the conveyance line. According to the present invention, it is possible to lighten the burden of this work with a test tube type or conveyance holder type inspection device provided with a sensor and battery for operation. Also, even when an operator cannot visually confirm the conveyance line from outside, it is possible to confirm the state of the conveyance line.