A method for performing quality control on a diagnostic analyzer includes receiving control measurement values from each of a plurality of diagnostic analyzers. A quality control measurement value is received from a target diagnostic analyzer. The quality control measurement value is compared with statistical criteria associated with the plurality of quality control measurement values received from the plurality of diagnostic analyzers. A comparison result is communicated to a user interface associated with the target diagnostic analyzer.

An analytic device comprising a device housing, a dock to receive a camera enabled mobile electronic device, such as a smartphone and other smart devices, and a processing device to communicate with the mobile electronic device and to control a condition of the assay tube, such as temperature. In another example, the analytic device comprises a device housing and a circuit board. A processing device, a heating block defining a recess to support assay tube, and a resistive heater are surface mounted to the circuit board. A light source and a fan are also provided. A dock may be provided to support a mobile electronic device. The mobile electronic device communicates with the processing device to cause the application of reaction conditions to the assay tube, to perform a PCR procedure, for example. Methods are also disclosed.

Certain aspects relate to systems and usage techniques for modular lateral flow assay reader devices that can receive a number of different modules having a barcode scanning input device and optional network connectivity capabilities. A barcode scanning module can provide a simple input method that reduces errors compared to manual data entry. A network connectivity module can enable transmission of test results over a public network for standardizing, tracking and electronically connecting test results from assay reader devices located throughout a network. Such devices can programmatically implement a simplified workflow whereby pressing a single button readies the device for imaging, analyzing, and data storage/transmission and, in some implementations, configures the device to operate in one of a plurality of device operation modes.

Work, such as status confirmation, in a plurality of automatic analyzers is efficiently performed. In an automated analysis system, a tablet terminal 114 has a terminal information management unit 210 and a terminal display unit 208. A terminal information management unit 210 acquires device information showing the state status of a device from automatic analyzers 101a to 101d, and generates a status confirmation screen showing the device status of the automatic analyzer. A terminal display unit 208 displays the status confirmation screen. The status confirmation screen has a status information screen showing the device status of one automatic analyzer and a device switch button configured to switch the status information screen to a status information screen corresponding to another other automatic analyzer. When the switch button is selected, the terminal information management unit 210 generates a status confirmation screen for an automatic analyzer corresponding to the selected switch button, and displays the status confirmation screen on the display unit.

The present disclosure relates to systems and methods for facing a tissue block. In some embodiments, a method is provided for facing a tissue block that includes imaging a tissue block to generate imaging data of the tissue block, the tissue block comprising a tissue sample embedded in an embedding material, estimating, based on the imaging data, a depth profile of the tissue block, wherein the depth profile comprises a thickness of the embedding material to be removed to expose the tissue sample to a pre-determined criteria, and removing the thickness of the embedding material to expose the tissue to the pre-determined criteria.

An operator creates a function table on an analyzing device, a computer for analysis or a server. In the function table, an instruction is described which includes designation of the computer(s) for analysis or the server, and a process to be executed by the designated computer(s) for analysis or server, and optionally includes parameter information required for execution. For analysis, the function table is displayed on a display screen of the analyzing device. When the operator selects an instruction in the table and instructs execution, the analyzing device causes the designated computer(s) for analysis or server described in the instruction to execute a process associated with the instruction. Such instruction can include a process of powering on the computer(s) for analysis. By previously describing expected processes and the computer(s) for analysis scheduled to perform the processes the processes to be executed can be instructed from the analyzing device.

Methods and systems allow characterization of sample vessels and carriers in an automation system to determine any physical deviation from nominal positions. In response, an offset can be calculated and applied when positioning a carrier relative to a station, such as a testing or processing stations (or vice-versa). This may allow for precise operation of an instrument with a sample vessel on an automation track, while compensating for deviation in manufacturing and other tolerances.

A system and mclhod for allocating processing resources in an automated laboratory system configured with processing units at which one or more activities are performed using one or more processing resources arc provided. A scheduler component received receiving at least one order reciuiring Ihe execulion of one or more protocols on (he automated laboratory system. The scheduler generates one or more optimisation problem instances and utilizes the optimisation nrohlcm instances lo generate the schedule of aclivitics for (he automated laboratory system. The scheduler causes the implementation of the generating schedule such that the activities can be performed according to desired protocol steps.

An analysis system includes an analysis apparatus that analyzes a specimen managed in an analysis center and a server apparatus managed in a service center. A server apparatus stores a first reference specimen ID for identifying a first reference specimen and a first range based on a first reference value, in association with each other. The analysis apparatus analyzes the first reference specimen provided without notification of the first reference value and transmits to the server apparatus, the first reference specimen ID and an analytical value of the first reference specimen with which the first reference specimen ID is associated. When the server apparatus determines the received analytical value of the first reference specimen as not belonging to the first range stored in association with the received first reference specimen ID, the server apparatus provides an abnormality signal.

A mobile, self contained molecular diagnostics system is provided with a microfluidic chip, detection apparatus and an integrated or wireless control interface and imager. The system provides automated sample preparation and rapid optical detection of multianalyte nucleic acids and proteins. On chip PCR may be performed to improve the optical fluorescence signal for nucleic acid detections. Plasmonic protein detection is performed using a dark field smartphone microscope. Dark field illumination is based on an evanescent field generated by LED total internal reflection. The smartphone element may also be used as an interface to control the detection apparatus, acquire images, process data and for wireless communications with remote computers. The handheld automated system has low power requirements and is particularly suited for point of care and on demand diagnostics in resource limited settings.