A sample measurement system may include: a measurement unit that measures a sample in a sample container; a transport unit that transports a rack that can hold sample containers, via the measurement unit; a collection unit that is detachably provided with a tray in which racks can be set, and that collects the rack transported from the measurement unit by the transport unit and sets the rack in the tray; a storage that stores sample identification information, rack identification information, and tray identification information in association with each other; an input part; a display part; and a controller that, in a condition in which the input part receives input of the sample identification information or the rack identification information, causes the display part to display the tray identification information stored in association with the inputted sample identification information or the inputted rack identification information.

A treatment device (1) for treating histological or cytological samples has a plurality of containers (6) for different treatment agents and a detection apparatus (2) for detecting a code which unequivocally identifies a type of a treatment agent or a type of a group of treatment agents from a package or replacement container of a treatment agent or group of treatment agents. The device furthermore has an evaluation apparatus (18) that, based on a detected code, ascertains which of the containers is or are to be replenished or replaced, and an indicating apparatus (4) which communicates to a user the ascertained container (6) or containers (6) that is or are to be replenished or replaced. The indicating apparatus may include a display (5) presenting a schematic image of the plurality of containers (6) with image(s) of each ascertained container being marked, and/or a light source (15) that illuminates each ascertained container.

A method of identifying a tube type. The method includes capturing one or more pixelated images of a cap affixed to a tube; identifying a color of one or more pixels of the pixilated image of the cap; identifying one or more gradients of a dimension of the cap; and identifying the tube type based at least on: the color of the one or more pixels, and the one or more gradients of a dimension of the cap. Apparatus adapted to carry out the method are disclosed as are other aspects.

A method of training a model of a diagnostic apparatus includes providing one or more first tube assemblies of a first type and one or more second tube assemblies of a second type in a diagnostic apparatus; capturing one or more first images of at least a portion of each of the one or more first tube assemblies and the second tube assemblies using the imaging device. Training the model includes identifying tube assemblies of the first type and tube assemblies of the second type based on the one or more first images and the one or more second images. Tubes assemblies of the first type are grouped into a first group and tube assemblies of the second type are grouped into a second group. Other methods and apparatus are disclosed.

Biological samples are prepared on a slide for physician or veterinarian interpretation in a case of a diagnosis for human or animal diseases. The biological samples are specimens taken from certain areas or body fluids of human or animal. The biological samples are placed on the slide and are made ready for an examination without any process or after physical processes. Physicians or veterinarians diagnose by interpreting the biological samples over a microscope. Digitizing data, usage of data processing techniques and automatic reporting are activities reducing a workforce of expert physicians or veterinarians with a developing technology by abandoning manual methods. As digital pathology and hematology are main technical fields, a system and integrated methods about digitizing, analyzing and storing biological samples are given.

A device for examining microscope specimens includes a microscope, wherein the microscope specimens include an object to be examined by the microscope and a specimen carrier holding the object, and wherein the device is configured to calculate a digital identification code of the microscope specimen by fingerprinting the microscope specimen using at least one optical marker in at least one digital image of at least a part of the object.

In relation to an automated nucleic acid processor and an automated nucleic acid processing method using a multi function dispensing unit, processing involving extraction and amplification of the nucleic acid, can be consistently, quickly and efficiently conducted at a low cost with the use of a multi function dispensing unit, while saving user's trouble without expanding the scale of the device. The multi function dispensing unit includes: a nozzle head provided with a suction-discharge mechanism and nozzles detachably provided with dispensing tips; a container group having, at the very least housing parts for liquids and reaction containers for housing an amplification solution; a transfer mechanism that makes an interval between the nozzles and the container group relatively movable; a temperature controller whereby temperature control of the interior of the reaction vessels is possible; sealing liquids and/or sealing lids that are transportable to the reaction vessels using the nozzles, and which make the amplification solutions housed in the reaction vessels sealable within the reaction vessels; and a sealing control part that controls the suction-discharge mechanism or the transfer mechanism, such that the sealing liquid and/or the sealing lids seal the amplification solution within the reaction vessels when the housing of the amplification solution in the reaction vessels is completed.

A laboratory automation system for processing sample containers containing laboratory samples and/or for processing the samples is presented. The laboratory automation system comprises a digital camera configured to take an image of the sample container together with a calibration element. The image comprises image data related to the sample container and image data related to the calibration element. The laboratory automation system also comprises an image processing device configured to determine geometrical properties of the sample container depending on the image data related to the sample container and the image data related to the calibration element.

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 sensory test and entrusted analysis method includes: receiving, by a second device, information identifying a sample, the information being transmitted from a first device; registering, by the second device, the information identifying the sample and a sensory evaluation item about the sample; adding, by the second device, identification information to the information identifying the sample; transmitting, by the second device, the identification information and an analysis item corresponding to the sensory evaluation item to a third device; receiving, by the second device, the identification information and an analysis result corresponding to the analysis item of the sample from the third device; registering, by the second device, a sensory result generated about the sample; and transmitting, by the second device, the analysis result and the sensory result to the first device.