Abstract: A method of determining analyte concentration in a body fluid with a mobile device having a camera. A user is prompted to apply body fluid to an optical test strip and then waits a predetermined minimum waiting time. The camera captures an image of part of the test field having the body fluid applied thereto. Analyte concentration is determined based on the image captured. The determination includes estimating a point in time of sample application to the test field by taking into account time-dependent information derived from the image captured using a first color channel of a color space. The determination also estimates the concentration of the analyte by taking into account concentration-dependent information derived from the image using a second color channel of the color space.

Abstract: A method for generating a module configured to determine concentration of an analyte in a sample of a body fluid is disclosed. The method includes providing a first set of measurement data derived from images of one or more test strips indicating a color transformation in response to a body fluid containing an analyte. The images can be recorded by multiple devices with differing cameras, software and/or hardware device configurations for image recording and image data processing. A neural network model can be generated in a machine learning process applying an artificial neural network and a module configured to determine concentration of an analyte in a second sample of a body fluid can be generated. Further, the present disclosure includes a system for generating the module as well as a method and a system for determining concentration of an analyte in a sample of a bodily fluid.

Abstract: A method of determining analyte concentration in a body fluid with a mobile device having a camera. A user is prompted to apply body fluid to an optical test strip and then waits a predetermined minimum waiting time. The camera captures an image of part of the test field having the body fluid applied thereto. Analyte concentration is determined based on the image captured. The determination includes estimating a point in time of sample application to the test field by taking into account time-dependent information derived from the image captured using a first color channel of a color space. The determination also estimates the concentration of the analyte by taking into account concentration-dependent information derived from the image using a second color channel of the color space.

Abstract: A method of evaluating suitability of lighting conditions for detecting an analyte in a sample using a mobile device camera. A test strip is provided for detecting the analyte. A first image of the test strip is captured while an illumination source of the mobile device is turned off and a second image of the test strip is captured while the illumination source is turned on. A sample is applied to the test strip and the first and second images are compared to thereby determine the difference in lighting conditions between the first image and the second image. The comparison is used to derive information on suitability of the lighting conditions for analyte detection. The lighting conditions are indicated as suitable when a predetermined threshold amount of light intensity used for illumination of the test strip originates from the illumination source.

Abstract: A method of evaluating suitability of lighting conditions for detecting an analyte in a sample using a mobile device camera. A test strip is provided for detecting the analyte. A first image of the test strip is captured while an illumination source of the mobile device is turned off and a second image of the test strip is captured while the illumination source is turned on. A sample is applied to the test strip and the first and second images are compared to thereby determine the difference in lighting conditions between the first image and the second image. The comparison is used to derive information on suitability of the lighting conditions for analyte detection. The lighting conditions are indicated as suitable when a predetermined threshold amount of light intensity used for illumination of the test strip originates from the illumination source.

Abstract: A calibration method for calibrating a camera for detecting an analyte in a sample is disclosed. A plurality of different color coordinate systems and a set of test samples are provided. The test samples are applied to test elements that have test fields for producing an optically detectable reaction. Images of the colored test fields are acquired using the camera and color coordinates for the images are generated. The color coordinates that are generated are transformed into a set of measured concentrations by using a set of coding functions. The set of measured concentrations is compared with the known concentrations of the test samples and a best match color coordinate system of the plurality of color coordinate systems is determined. A best match coding function of the plurality of coding functions is also determined.

Abstract: A method is disclosed for controlling auto-exposure settings of a mobile device when capturing an image of a color reference card and of a test field. Provided are a color reference card and an optical test strip having the test field with a sample applied thereto. The color reference card has different color reference fields having known reference color values and one or more gray background fields having defined gray values. An exposure metering area is set and auto-exposure settings are determined based on a scene in the exposure metering area. The scene has at least part of the test field and at least part of the different color reference fields and the one or more gray background fields. The camera captures an image of the scene using the determined auto-exposure settings. A method of determining concentration of analyte in a sample by using a mobile device is also disclosed.

Abstract: A test strip fixation device for use in a method of determining analyte concentration in a body fluid using a mobile device with a camera. The device has top and bottom surfaces, has an essentially planar shape, and also has a cut-out portion configured for application of a body fluid sample. The top surface has color reference fields with known reference color values, including grey and non-grey reference fields. The grey reference fields are symmetrically arranged around the cut-out portion and around at least some of the non-grey color reference fields. The top surface also has position detection code elements. The bottom surface has a connector configured for detachable connection of an optical test strip relative to the test strip fixation device, and a reagent test region of the test strip can be aligned with the cut-out portion. A method of using the device is also disclosed.

Abstract: A method of performing an analytical measurement includes using a camera of a mobile device to capture a time series of images of at least a part of a medical article. From this, image-derived position information on a relative position of the mobile device and the medical article is derived, thereby generating a first time series of position information. A sensor captures measurement information on the relative position of the mobile device and the medical article. Measurement-derived position information is used to generate a second time series of position information, and the first and second time series of position information are combined to generate an augmented time series of position information. From this, guidance is provided to a user to move the mobile device and the medical article into a relative target position. A mobile device, a kit and a computer program are also disclosed.

Abstract: 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.

Abstract: A method of evaluating the quality of a color reference card having multiple color reference fields. The quality refers to whether the color reference card is usable for a method for determining concentration of analyte in a body fluid and/or to the degree of suitability or reliability of the color reference card for use with a method for determining analyte concentration in a body fluid. In the inventive method, an image is captured of at least a part of the color reference card using a mobile device camera. Measured color reference values are determined from the image for one or more of the color reference fields and a relationship between one or more of the measured reference color values and corresponding known reference color values is determined. The determined relationship is used to assess the quality of the color reference card. A kit and mobile device are also disclosed.

Abstract: 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.

Abstract: A method of performing an analytical measurement based on a color formation reaction in an optical test strip by using a mobile device having a camera, a display and a position sensor. An optical test strip having a test field is provided. The camera captures a first image of the test field before a sample is applied and a second image after the sample is applied. An item of admissibility information, based on one or both of position sensor data and local position data, is determined. Admissibility is indicated when the position of the mobile device is substantially the same for capturing the first and the second image. When admissibility is indicated, an analytical measurement takes place. Further, a computer program, a computer-readable storage medium, a mobile device and a kit are disclosed.

Abstract: A method of determining concentration of an analyte in a body fluid using a mobile device having a camera is disclosed. In the inventive method, angular orientation of the mobile device relative to the test element is determined by using sensor data of a sensor integrated into the mobile device. The angular orientation of the mobile device relative to the test element is subjected to a validity test. Taking into account the result of the validity test, an image of at least part of a test strip is captured and concentration of analyte in a body fluid sample applied to the test strip can be determined.

Abstract: A method of determining concentration of an analyte in a body fluid using a mobile device having a camera is disclosed. In the inventive method, the camera is used to take a series of calibration images of a region of interest of an object. The calibration images differ in their brightness. A key calibration figure is derived from each calibration image, the key calibration images being characteristic for a tone mapping function of the mobile device. A probable tone mapping function of the mobile device is determined by taking into account the key calibration figures. An analysis image is taken of at least part of a test field of an optical test strip, the test field having a body fluid applied thereto. Analyte concentration is determined from the analysis image of the test field by taking into account the probable tone mapping function of the mobile device.

Abstract: The invention concerns an analyte measuring system comprising a test tape (22) having a plurality of functional elements (20) including a test field (46), a further comprising a meter (12) having a tape drive (24) operable to advance the test tape (22), a light source (30) adapted to illuminate at least one measuring spot at a measuring position, and a measuring engine (32) to receive optical signals from the at least one measuring spot for detection of the analyte in the body fluid. For tape positioning, it is proposed that the measuring engine (32) comprises a signal processor (34) operable to determine if a test field (46) is in the measuring position, said determination comprising an identification of a pre-determined distance between at least two functional elements (20) in the optical signals obtained while advancing the test tape (22).

Abstract: An optical test strip (118) for measuring an analyte concentration in a sample of bodily fluid is disclosed.

Abstract: A method for generating a module configured to determine concentration of an analyte in a sample of a body fluid is disclosed. The method includes providing a first set of measurement data derived from images of one or more test strips indicating a color transformation in response to a body fluid containing an analyte. The images can be recorded by multiple devices with differing cameras, software and/or hardware device configurations for image recording and image data processing. A neural network model can be generated in a machine learning process applying an artificial neural network and a module configured to determine concentration of an analyte in a second sample of a body fluid can be generated. Further, the present disclosure includes a system for generating the module as well as a method and a system for determining concentration of an analyte in a sample of a bodily fluid.

Abstract: A method of determining analyte concentration in a body fluid with a mobile device having a camera. A user is prompted to apply body fluid to an optical test strip and then waits a predetermined minimum waiting time. The camera captures an image of part of the test field having the body fluid applied thereto. Analyte concentration is determined based on the image captured. The determination includes estimating a point in time of sample application to the test field by taking into account time-dependent information derived from the image captured using a first color channel of a color space. The determination also estimates the concentration of the analyte by taking into account concentration-dependent information derived from the image using a second color channel of the color space.

Abstract: A method of evaluating the suitability of a mobile device for performing an analytical measurement based on a color formation reaction. The capability of the mobile device to have relevant settings of the mobile device controlled by software running on the mobile device is evaluated. The relevant settings pertain to image raw data processing steps to be carried out by the mobile device and may include a color space transformation and a tone mapping transformation. When the evaluation indicates that the mobile device is capable of having the relevant settings controlled by the software, control information indicating that the mobile device is suitable for performing the analytical measurement is provided. When the evaluation indicates that the mobile device is not capable of having the relevant settings controlled by the software, control information indicating that the mobile device is unsuitable for performing the analytical measurement is provided.