A device for automatically checking quality of a spool of thread for fabrics is provided. The device has at least one vision system provided with a camera, a frame of the camera defining an analysis area, the camera being connectable to a system for moving a spool of thread to be analyzed and to a computer having an analysis software stored thereon, and at least one lighting system having at least one pair of lights arranged facing each other and transversely in relation to the analysis area, each light of the at least one pair of lights having at least one light source for providing a sidelight to the analysis area.

Exemplary embodiments provides computer-implemented methods, mediums, and apparatuses configured to monitor the health of analytical chemistry systems. A monitoring system may be highly coupled to laboratory analytical instruments that it monitors. It may receive data and/or trends in the data as that data is generated by the instrument. Consequently, it can be configured to recognize when that data or trend signals a problem that needs to be corrected . A kiosk of the monitoring system may be configured to be in direct communication with the analytical chemistry system and to execute an action from the issue resolution structure to make the adjustment. Because the monitoring system is part of the direct physical control of the instrument(s), it can fix problems very quickly.

A urine sample testing apparatus may include a urine qualitative measuring section configured to acquire a measurement result for each of a plurality of urine qualitative measurement items and a urine sediment measuring section configured to acquire a measurement result for each of a plurality of urine sediment measurement items. The apparatus may also include an operation part that can specify a combination of one of the plurality of urine qualitative measurement items and one of the plurality of urine sediment measurement items. An information processing unit may also be included.

The purpose of the present invention is to provide an automatic analysis device capable of efficiently performing a plurality of analyses, while reducing the footprint and cost of the device. Provided is an automatic analysis device characterized by being provided with containers for containing samples, one rack for placing the containers thereon, and a control unit, the control unit generating, with respect to the one rack, a plurality of registration patterns in which information of the positions where the containers are disposed, and information of the samples contained in the containers are correlated with each other, storing the registration patterns thus generated, applying, to the one rack, one registration pattern selected from among the registration patterns thus stored, and analyzing the samples. Also provided is an analysis method using the device.

The present invention provides a process and method for the early detection and diagnosis of disease by reading and decoding volatile organic compounds (VOCs) for signatures associated with a specific disease. From its outset, each disease begins producing its own unique set of volatile organic compounds. For many diseases, this early-stage detection may be many months or years before noticeable symptoms. The VOC emissions when analyzed, result in a “signature” that identifies and distinguishes the developing, or at later stages, the developed disease. The device assays non-invasively obtained biosamples in real-time to output a VOC based signature that, when correlated with data in a disease signature library, identifies one or more diseases associated with the sample.

The present disclosure is directed to an improved method for distinguishing tissue from an embedding medium, such as paraffin in a formalin-fixed paraffin-embedded sample. The method involves the use of fluorescence of naturally-occurring species in tissue to determine the location of the tissue in the embedded sample. An embedded sample is generally excited by light of a selected wavelength, and the fluorescence emission at an emitted wavelength is used to locate the boundary or location of the tissue in the embedded sample.

The automatic analysis device includes an evaporative concentration unit configured to perform a concentration process of evaporating an extract solution obtained by extracting a component to be analyzed in a sample to concentrate the component to be analyzed; an analysis unit configured to analyze the component to be analyzed of the sample; and a control unit configured to control operations of the analysis unit and the evaporative concentration unit. The control unit determines whether to perform an evaporative concentration process on a component to be analyzed in the sample, and controls the evaporative concentration unit to concentrate a component to be analyzed in a sample which is determined to be subjected to an evaporative concentration process. The sample to be subjected to the evaporative concentration process is stored, and the control unit selects whether to perform the evaporative concentration on each sample or not based on stored content.

An inter-hamming difference analyzer for a memory array having a plurality of sections is provided. The inter-hamming difference analyzer includes a controller, a storage device and a comparator. The controller is configured to obtain contents of the plurality of sections operating in a first operating condition and a second operating condition. The storage device is configured to store the contents of the plurality of sections corresponding to the first operating condition. The comparator is configured to obtain a plurality of inter-hamming differences of the plurality of sections according to the number of unlike bits between the content of a first section of the plurality of sections corresponding to the second operating condition and the contents of a plurality of sections other than the first section stored in the storage device.

Provided is an automatic analysis device capable of detecting a pipetting condition with high accuracy even when pressure pulsation occurs due to a pipetting syringe operation or a probe operation before and after pipetting.

An automatic analysis device 101 includes a container 208 filled with a fluid, a pressure source, a probe 202 which separates the fluid within the container 208, a driving unit 206 which moves the probe 202, a flow path 203 which connects the probe 202 and the pressure source, a pressure sensor 214 which measures pressure variations within the flow path 203, a storage unit 220 which stores time series measurement data of the pressure sensor 214, a sensor 222 which detects a liquid level position within the container 208, and a position determination unit which determines the position of the flow path 203 or the probe 202, in which the condition of flow generated within the flow path is estimated based on the time series measurement data and position information of the flow path 203 or the probe 202 by the position determination unit.

The present disclosure is directed to an improved method for distinguishing tissue from an embedding medium, such as paraffin in a formalin-fixed paraffin-embedded sample. The method involves the use of fluorescence of naturally-occurring species in tissue to determine the location of the tissue in the embedded sample. An embedded sample is generally excited by light of a selected wavelength, and the fluorescence emission at an emitted wavelength is used to locate the boundary or location of the tissue in the embedded sample.