Abstract: A computer-implemented intelligent alignment method for a color sensing device (12) which initially obtains a raw sense value measured by the color sensing device and converts the raw sense value to a tristimulus value (S401). The color sensing device may be calibrated using a known set of colors (S402). Raw readings received from the color sensing device may be mapped to known tristimulus values (S403), and mapped values may be converted to a standard reference illuminant color space (S404). A client-server system may be provided in which a color sensing device and one or more servers collectively execute operations according to the present disclosure.

Abstract: An optical detector is provided with multiple light sources having distinct spectral characteristics, which are controlled on/off across a range of lighting intensity combinations. A measurement sensor receives radiated light that is reflected from a target surface via confined optical channels, and generates representative output signals. A local controller or a remote computing device receives the output signals or corresponding messages from the optical detector, and generates a low resolution spectral data set based on the signals for each of the lighting intensity combinations. The low resolution spectral data set is interpolated based on machine learning algorithms trained with high resolution data from a reference device to generate a high resolution spectral data set associated with the target surface.

Abstract: An optical detector is provided with multiple light sources having distinct spectral characteristics, which are controlled on/off across a range of lighting intensity combinations. A measurement sensor receives radiated light that is reflected from a target surface via confined optical channels, and generates representative output signals. A local controller or a remote computing device receives the output signals or corresponding messages from the optical detector, and generates a low resolution spectral data set based on the signals for each of the lighting intensity combinations. The low resolution spectral data set is interpolated based on machine learning algorithms trained with high resolution data from a reference device to generate a high resolution spectral data set associated with the target surface.

Abstract: A modular device includes base and color sensing portions. The color sensing portion has a face, a controlled light source offset from the face to define an interior, the face configured to engage a target surface about a perimeter of the device housing wherein ambient light is restricted from entering the interior. A color sensor receives light reflected from the target surface and generates output signals representative of a surface color. The base portion communicates with the color sensor and a user device having a hosted program which generates a user interface enabling users to provide control input for the color sensor. The program further receives the output signals from the color sensing device and displays a first image of the detected color, and displays a second image of a user-selected color beside the first image. Color data values are further displayed corresponding to the difference between displayed colors.

Abstract: A computer-implemented intelligent alignment method for a color sensing device (12) which initially obtains a raw sense value measured by the color sensing device and converts the raw sense value to a tristimulus value (S401). The color sensing device may be calibrated using a known set of colors (S402). Raw readings received from the color sensing device may be mapped to known tristimulus values (S403), and mapped values may be converted to a standard reference illuminant color space (S404). A client-server system may be provided in which a color sensing device and one or more servers collectively execute operations according to the present disclosure.

Abstract: A computer-implemented intelligent alignment method for a color sensing device (12) which initially obtains a raw sense value measured by the color sensing device and converts the raw sense value to a tristimulus value (S401). The color sensing device may be calibrated using a known set of colors (S402). Raw readings received from the color sensing device may be mapped to known tristimulus values (S403), and mapped values may be converted to a standard reference illuminant color space (S404). A client-server system may be provided in which a color sensing device and one or more servers collectively execute operations according to the present disclosure.

Abstract: A modular device includes base and color sensing portions. The color sensing portion has a face, a controlled light source offset from the face to define an interior, the face configured to engage a target surface about a perimeter of the device housing wherein ambient light is restricted from entering the interior. A color sensor receives light reflected from the target surface and generates output signals representative of a surface color. The base portion communicates with the color sensor and a user device having a hosted program which generates a user interface enabling users to provide control input for the color sensor. The program further receives the output signals from the color sensing device and displays a first image of the detected color, and displays a second image of a user-selected color beside the first image. Color data values are further displayed corresponding to the difference between displayed colors.

Abstract: A modular device includes base and color sensing portions. The color sensing portion has a face, a controlled light source offset from the face to define an interior, the face configured to engage a target surface about a perimeter of the device housing wherein ambient light is restricted from entering the interior. A color sensor receives light reflected from the target surface and generates output signals representative of a surface color. The base portion communicates with the color sensor and a user device having a hosted program which generates a user interface enabling users to provide control input for the color sensor. The program further receives the output signals from the color sensing device and displays a first image of the detected color, and displays a second image of a user-selected color beside the first image. Color data values are further displayed corresponding to the difference between displayed colors.

Abstract: A computer-implemented intelligent alignment method for a color sensing device (12) which initially obtains a raw sense value measured by the color sensing device and converts the raw sense value to a tristimulus value (S401). The color sensing device may be calibrated using a known set of colors (S402). Raw readings received from the color sensing device may be mapped to known tristimulus values (S403), and mapped values may be converted to a standard reference illuminant color space (S404). A client-server system may be provided in which a color sensing device and one or more servers collectively execute operations according to the present disclosure.

Abstract: A modular device includes base and color sensing portions. The color sensing portion has a face, a controlled light source offset from the face to define an interior, the face configured to engage a target surface about a perimeter of the device housing wherein ambient light is restricted from entering the interior. A color sensor receives light reflected from the target surface and generates output signals representative of a surface color. The base portion communicates with the color sensor and a user device having a hosted program which generates a user interface enabling users to provide control input for the color sensor. The program further receives the output signals from the color sensing device and displays a first image of the detected color, and displays a second image of a user-selected color beside the first image. Color data values are further displayed corresponding to the difference between displayed colors.

Abstract: Improved electrochemical biosensor arrays and instruments are disclosed herein. Methods of making and using the electrochemical biosensor instruments are also disclosed. An electrochemical biosensor array can include an array of microelectrodes disposed on a substrate. Each microelectrode can include a conducting electrode material disposed on a portion of the substrate, a first polymeric layer disposed on at least a portion of the conducting electrode material, a second polymeric layer disposed on at least a portion of the first polymeric layer, and a capture molecule that is in physical communication with the second polymeric layer.

Abstract: Improved electrochemical biosensor arrays and instruments are disclosed herein. Methods of making and using the electrochemical biosensor instruments are also disclosed. An electrochemical biosensor array can include an array of microelectrodes disposed on a substrate. Each microelectrode can include a conducting electrode material disposed on a portion of the substrate, a first polymeric layer disposed on at least a portion of the conducting electrode material, a second polymeric layer disposed on at least a portion of the first polymeric layer, and a capture molecule that is in physical communication with the second polymeric layer.