Systems, methods, and apparatus are disclosed for determining quantitative hormone and chemical analyte results from qualitative test results. An image is taken of an ovulation test device. The image is analyzed to identify a color intensity ratio (T/C ratio) between a color density of a test-line to a color density of a control-line. Additionally, a quantitative substance level may be determined using the T/C ratio, by identifying the type of test device and referencing a data structure that relates quantitative substance levels to T/C ratios for the identified type of test device.

An analytical method for determining a concentration of an analyte is disclosed. In this method, an image of an optical test strip having a body fluid applied thereto is obtained with a camera of a mobile device. Local temperature information is received at a current location of the mobile device from a temperature source such as a remote weather information service or temperature sensor. Additional local temperature information is received by the mobile device from a thermochromic field provided on the test strip and/or on a color reference card. A processor determines a correction temperature and/or a correction temperature function using the local temperature information. The processor also determines the analyte concentration from the image captured and taking into account the correction temperature information.

The present invention relates to an automatic in vitro diagnostic apparatus capable of automatically performing a series of examination processes including a pretreatment process for specific components included in a biological sample such as blood and urine. The apparatus of the present invention comprises a base frame 104; a cuvette tray 110 movable back and forth on the base frame 104, for mounting cuvette holders 10 accommodating a plurality of cuvettes arranged thereon alongside each other; a tube tray 120 movable back and forth on the base frame, for mounting tube holders 20 accommodating a plurality of sample tubes containing samples thereon; and a sampling operation unit 500 movable left and right on the base frame 104, for mixing a sample contained in the sample tube with a reagent, and dropping the mixed solution onto an analysis strip provided in the cuvette.

Automated camera-based optical assessment involves color assessment of a physical object using conventional and inexpensive computer hardware such as a smartphone. A specially-configured test card includes a body supporting a reagent pad configured to change to an expected color in response to an enzymatic reaction, and an imaging key adjacent the reagent pad. The imaging key includes color fields including at least one field of the expected color. The hardware captures an image of the test card, and processes the image to identify the reagent pad and color fields, to process a brightness calibration target, to determine color values for the reagent pad and color fields, to calibrate the color values as a function of brightness and/or color by comparison to the brightness and color calibration targets, and to identify a color field most closely matching the reagent pad's color to determine a corresponding test result.

Contamination detection systems, kits, and techniques are described for testing surfaces for the presence of hazardous contaminants, while minimizing user exposure to these contaminants. Even trace amounts of contaminants can be detected. A collection kit provides a swab that is simple to use, easy to hold and grip, allows the user to swab large areas of a surface, and keeps the user's hands away from the surface being tested. The kit also provides open and closed fluid transfer mechanism to transfer the collected fluid to a detection device while minimizing user exposure to hazardous contaminants in the collected fluid. Contamination detection kits can rapidly collect and detect hazardous drugs, including trace amounts of antineoplastic agents, in healthcare settings at the site of contamination.

A test sensor for determining an analyte concertation in a biological fluid comprises a strip including a fluid receiving area and port-insertion region. A first row of optically transparent and non-transparent positions forms a calibration code pattern disposed within a first area of the port-insertion region. A second row of optically transparent and non-transparent positions forms a synchronization code pattern disposed within a second area of the port-insertion region. The second area is different from the first area. The synchronization code pattern corresponds to the calibration code pattern such that the synchronization code pattern provides synchronization of the serial calibration code pattern during insertion of the port-insertion region into the receiving port of the analyte meter.

Systems, methods, and apparatus are disclosed for determining quantitative hormone and chemical analyte results from qualitative test results. An image is taken of an ovulation test device. The image is analyzed to identify a darkness intensity ratio (T/C ratio) between a darkness value of a test-line to a darkness value of a control-line. Additionally, a quantitative substance level may be determined using the T/C ratio, by identifying the type of test device and referencing a data structure that relates quantitative substance levels to T/C ratios for the identified type of test device.

One embodiment of the present invention provides an apparatus for analyzing substances included in a sample. The apparatus includes a physical enclosure for holding the sample and one or more sensors positioned on an inner surface of the physical enclosure. The sensors are configured to provide information associated with the substances included in the sample. The apparatus further includes electrical conductive traces positioned on the inner surface and coupled to the one or more sensors, thereby facilitating transmission of outputs of the sensors.

A method of determining the concentration of an analyte in a sample of a body fluid with a mobile device having a camera is disclosed. The camera captures an image of a color reference card and of a reagent test field of an optical test strip having a sample applied to it. A predetermined pixel-based mean tone map correction is applied to the image obtained, which results in a first intensity-corrected image. Local brightness information is derived from the first intensity-corrected image. A mobile device-specific tone map correction is applied to the first intensity-corrected image, taking into account the local brightness information. A second intensity-corrected image is thereby obtained. Analyte concentration is determined based on a color formation reaction of the test field by using the second intensity-corrected image. Optionally, a color correction may be derived and applied to the second intensity-corrected image to obtain an intensity-corrected and color-corrected image.

The disclosure provides methods and apparatuses to test for E. coli in liquid samples. The apparatus includes a paper strip having a hydrophobic area at one end and a reaction area at the other end.