A method for classifying an identification tag on a sample tube containing a sample to be processed in an automated laboratory system having a plurality of laboratory devices, the method comprising providing a sample tube having an identification tag and containing a sample to be analyzed. Each of the plurality of laboratory devices is assigned a tag reader device configured to read the identification tag for recognizing identification tag information. Further, an automated laboratory system for processing a sample tube containing a sample for at least one of pre-analytics and sample analysis is provided.

An automated analyzer with an on-board fridge for long-term cooling of reagents, and a method for isolating and analyzing an analyte comprising long-term cooling of reagents.

An automated analyzer with an on-board fridge for long-term cooling of reagents, and a method for isolating and analyzing an analyte comprising long-term cooling of reagents.

Tissue sample management systems include a central network, a medical professional system, and a pathology lab system for processing a tissue sample in a matrix having a sectionable code. At least the pathology lab system includes at least one imaging device, and the central network is configured to process images from the at least one imaging device to identify and record at least the sectionable code of the matrix. Methods for tissue sample processing include providing a matrix having a sectionable code and measurement marks, the matrix for receiving a tissue sample, and identifying the sectionable code from an image taken of the tissue sample in the matrix. Tissue sample-receiving matrices include a sectionable alphanumeric code or bar code, a tissue sample receptacle, and measurement marks formed along a sidewall thereof. The matrices include one or more proteins and one or more lipids.

Provided is a technique for increasing discriminating ability, preventing human error, and improving efficiency of discrimination in a discrimination operation for extracting a sample satisfying a specific condition from among a plurality of samples. A sample discrimination system according to the present disclosure is provided with a plurality of sample retaining devices for retaining samples, and a sample information query device for querying a sample retaining device that matches predetermined query information from among the plurality of sample retaining devices. The sample information query device has a query information input unit for inputting of predetermined query information, and a query information transmission unit for transmitting predetermined query information to the sample retaining devices. The sample retaining devices are each characterized by having a storage unit for storing sample information, a comparison unit for comparing predetermined query information and sample information, and a first display unit for outputting the result of comparison by the comparison unit.

A method for determining an analyte of a liquid sample in a cuvette includes providing a cuvette, a reagent, a barcode, an icon on the cuvette and a liquid analysis device comprising a photometer, a rotation device, a camera, a calibration data memory storing first calibration data, and an input device which manually inputs second calibration data. The cuvette is inserted into the liquid analysis device and is rotated to align the icon with the camera. The icon is read with the camera and the icon read compared with an icon model stored in the liquid analysis device to determine whether it corresponds thereto. The liquid sample is subjected to photometry based on the first calibration data if the icon read corresponds to the icon model. If not, the input apparatus is activated and the liquid sample is subjected to photometry on the basis of the second calibration data.

Described herein are automated and customizable sample preparation and analysis systems for detection and quantification of biomarkers (e.g., metabolites and/or lipids) in biological samples (e.g., blood, serum, or plasma) in a clinical setting. The automated systems are controlled by scripts that integrate communication between the components of the sample preparation system. Also described herein are mass spectrometry-based analytical methods featuring efficient system calibration and sample analysis that provide for accurate quantification of a set of markers in biological samples. The methods are capable of automatic high sample throughput in a clinical setting for detection and quantification using a mass spectrometry system and high performance liquid chromatography column.

[Problem to be solved] To provide a sample storage tube wherein the two-dimensional code and the wireless IC chip are equipped, and there is low interference between the two elements, which can ensure data reading and writing accuracy and reliability.

[Solution] A sample storage tube 100 comprise a tube body 120 for storing a sample; a lid 110 for capping the upper opening of the tube body; an information writable area 124 for writing information installed to a bottom surface of the tube body; wherein the information writable area 124 is arrayed in a peripheral portion of the bottom 123; and an information non-writable area 125 in which any information cannot be written is secured in a center part of the bottom 123. Plural of printed information codes 130 are printed on the information writable area 124. The sizes of the shapes of the printed information code are small, and the amount of the information carried by each printed information code is smaller than the amount of the information to be applied to the information writable area of the sample storage tube. The result obtained from the printed information codes 130 calculated by a predetermined algorithm equals the information writable area of the sample storage tube.

Systems and methods are provided for measuring and tracking radio-frequency (RFID) tags. Inlay data, converting data, and tag scan data can be received from entities in the supply chain and stored in a database. The tag scan data, including measurement and performance data, can be stored and used for applications such as determining whether RFID tags are defective. The tag scan data, inlay data, and converting data can be analyzed to produce analytic data for reporting and failure prediction purposes. Inlay-SKU combinations of RFID tags can be validated to ensure that the correct inlays are being utilized for RFID tags intended for particular products. More accurate inventory data may be obtained and costs for re-tagging products that have defective RFID tags may be reduced. Entities in the supply chain can also be assisted to comply with various quality control, licensing, and tracking requirements related to the RFID tags.

A first rack of a first color and a second rack of a second color respectively hold blood collecting tubes. After a test is finished, the first and second racks are disposed at a carrying-out section. A result screen showing a test result includes a first region of the first color and a second region of the second color. The first and second regions are displayed in positions corresponding to positions of the first and second racks in the carrying-out section. First symbols are displayed in the first region at positions corresponding to positions of the blood collecting tubes held in the first rack. Second symbols are displayed in the second region at positions corresponding to positions of the blood collecting tubes held in the second rack. A displayed appearance of each of the first and second symbols is changed in accordance with the test result.