Aspects of the present disclosure include systems and methods. According to certain embodiments, provided is an integrated analysis system that includes a first module including a sample analysis component and a first internal container conveyor system. The integrated analysis system further includes a second module including a second internal container conveyor system. The first and second modules are positioned adjacent each other such that the first and second internal container conveyor systems are aligned and adapted to transport containers from the first module to the second module. Also provided are methods of analyzing and preparing samples (e.g., blood and body fluid samples), as well as components that find use within the analysis systems of the present disclosure.

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.

Provided is an automatic analyzer capable of switching an apparatus operation mode, such as automatic reexamination, without stopping measurement by efficiently using a rack. The automatic analyzer includes a storage unit that stores an operation mode, such as automatic reexamination, of the automatic analyzer, a detection unit that detects an operation mode switching rack inserted into an insertion unit, and a control unit that switches the operation mode stored in the storage unit on the basis of the detection of the operation mode switching rack by the detection unit. The control unit applies the switched operation mode to an examination object rack transported from the insertion unit to a transport line after the operation mode switching rack.

A model-based method of classifying a specimen in a specimen container. The method includes capturing images of the specimen and container at multiple different exposures times, at multiple different spectra having different nominal wavelengths, and at different viewpoints by using multiple cameras. From the captured images, 2D data sets are generated. The 2D data sets are based upon selection of optimally-exposed pixels from the multiple different exposure images to generate optimally-exposed image data for each spectra. Based upon these 2D data sets, various components are classified using a multi-class classifier, such as serum or plasma portion, settled blood portion, gel separator (if present), tube, air, or label. From the classification data and 2D data sets, a 3D model can be generated. Specimen testing apparatus and quality check modules adapted to carry out the method are described, as are other aspects.

A method of reading machine-readable labels on sample receptacles held by a sample rack. In the method, an absolute position of the sample rack is measured as the sample rack moves between first and second positions in a housing. During movement between the first and second positions, an image is acquired of a machine-readable label associated with each sample receptacle held by the sample rack. The image of each machine-readable label is thereafter decoded.

Systems and methods for use in an in vitro diagnostics setting may include an automation track, a plurality of carriers configured to carry a plurality of sample vessels along the automation track, and a characterization station including a plurality of optical devices. A processor, in communication with the characterization station, can be configured to analyze images to automatically characterize physical attributes related to each carrier and/or sample vessel. A method may include receiving a plurality of images from a plurality of optical devices of a characterization station, wherein the plurality of images comprise images from a plurality of perspectives of a sample vessel being transported by a carrier, automatically analyzing the plurality of images, using a processor, to determine certain characteristics of the sample vessel, and automatically associating the characteristics of the sample vessel with the carrier in a database.

A container management apparatus is provided with: a container storing unit that can store a plurality of tubular sample containers one by one separately, each of the plurality of tubular sample containers being provided with a two-dimensional bar code on the bottom surface thereof, and container-identifying information being coded in the two-dimensional bar code; and a reading unit that reads the two-dimensional bar code of each of the tubular sample containers stored in the container storing unit and retrieves the container identifying information. The reading unit has, in correspondence with each storing position, an LED that irradiates the two-dimensional bar code with irradiation light and an imaging unit that receives reflection light from the two-dimensional bar code.

An apparatus for characterizing a specimen and/or specimen container. The characterization apparatus includes an imaging location configured to receive a specimen container containing a specimen, a light source configured to provide lighting of the imaging location, and a hyperspectral image capture device. The hyperspectral image capture device is configured to generate and capture a spectrally-resolved image of a small portion of the specimen container and specimen at a spectral image capture device. The spectrally-resolved image data received at the spectral image capture device is processed by a computer to determine at least one of: segmentation of at least one of the specimen and/or specimen container, and determination of a presence or absence of an interferent, such as hemolysis, icterus, or lipemia. Methods of imaging a specimen and/or specimen container, and specimen testing apparatus including a characterization apparatus are described, as are other aspects.

A method to handle tubes in a diagnostic laboratory automation system comprising a control device and a tube-analyzing device is presented. The tube-analyzing device comprises a tube identification reader, a tube type recognition unit, a sample color determination unit, and a tube consistence unit. The tube identification reader reads tube identification device. The tube type recognition unit identifies tube type. The sample color determination unit determines sample color. The tube consistence unit determines sample consistency. The sample tube type, the tube type, the sample color, the sample consistency are send to the control device. The control device determines a construed tube type from one or more of the information of the tube type, the sample color, and the sample consistency. The control device checks whether the tube type matches the construed tube type and changes a used tube type from the tube type to the construed tube type.

A method of reading machine-readable labels on sample receptacles. In the method, a sample rack is moved between a first position and a second position withing a housing, where the sample rack supports a plurality of sample receptacles, and each sample receptacle has a machine-readable label. An absolute position of the sample rack is measured as the sample rack moves between the first and second positions. An image of the machine-readable label associated with each sample receptacle is acquired as the sample rack moves between the first and second positions. Finally, the acquired image of each machine-readable label is decoded.