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 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.

Abstract: A method for detecting an analyte in a sample is disclosed. The method includes providing a mobile device having a camera and an illumination source. A test strip having a test field with at least one test chemical for performing an optical detection reaction in the presence of the analyte is provided. The sample is applied to the test field. Several images of a region of the test strip are captured. The region includes at least part of the test field to which sample is applied. The images are captured before and after the sample is applied and with the illumination source turned on and off. The images captured are compared and differences in light intensities are determined. Analyte concentration is determined using the images captured and the determined light intensities.

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 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: This disclosure refers to an adjustment method for adjusting a setup for an analytical method of determining a concentration of an analyte in a bodily fluid based on a color formation reaction in an optical test strip mobile device for performing analytical measurements. This disclosure further relates to a mobile device configured for performing the adjustment method, a computer program and a computer-readable storage medium for performing the adjustment method and a kit comprising a test strip or a dummy test strip and at least one of the mobile device, the computer program and the computer-readable storage medium. The method, device, computer program, storage media and kit specifically may be used in medical diagnostics, for example, qualitatively or quantitatively detect analytes in body fluids, such as for detecting glucose in blood and/or interstitial fluid. Other fields of application of this disclosure, however, are feasible.

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

Abstract: An optical test strip (110), a method and a kit (128) for measuring an analyte concentration in a sample (112) of bodily fluid are 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 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.

Abstract: A method for detecting an analyte in a sample is disclosed. The method includes providing a mobile device having a camera and an illumination source. A test strip having a test field with at least one test chemical for performing an optical detection reaction in the presence of the analyte is provided. The sample is applied to the test field. Several images of a region of the test strip are captured. The region includes at least part of the test field to which sample is applied. The images are captured before and after the sample is applied and with the illumination source turned on and off. The images captured are compared and differences in light intensities are determined. Analyte concentration is determined using the images captured and the determined light intensities.

Abstract: A glucose test arrangement is provided for use in a handheld meter. The arrangement comprises a disposable test pad responsive to glucose in a body fluid, and a supporting member adapted to support the test pad at an application site for applying body fluid from a user's skin onto a receiving area of the test pad. The receiving area faces away from the supporting member. One or more spacer elements are arranged on the supporting member adjacent to the test pad, wherein the one or more spacer elements have a skin-contacting end section which protrudes above the receiving area.