Abstract:
A method for calibrating a biological instrument is provided. The method comprises the steps of acquiring an image of at least one biological sample array, determining a first region of interest within the image, wherein the first region of interest comprises a first plurality of locations on the at least one biological array; and identifying within the first region of interest, a plurality of image elements associated with each of the first plurality of locations on the at least one biological array.
Abstract:
A computer-implemented method for identifying a first object-of-interest is provided. The first object-of-interest includes two identifiers and a sample portion. The method includes imaging the first object-of-interest including the two identifiers. The imaging generates a first set of image data. The method further includes determining a position of the first object-of- interest in the field-of-view of an optical sensor and determining the two identifiers from the first set of image data. The method includes identifying the first object-of-interest based on the two identifiers.
Abstract:
A method for improving image quality is provided. The method includes receiving image data of a substrate, wherein the image data is generated by imaging the substrate, and an image is generated from the image data. The method further includes generating a background representation from a background noise portion of the image, wherein the background portion includes signal information undesired for further processing and generating a background subtracted image by subtracting the background representation from the image. In this way, a separate background image is not needed to subtract the background from the image including the regions-of-interest to improve image quality.
Abstract:
A method for improving image quality is provided. The method includes receiving image data of a substrate, wherein the image data is generated by imaging the substrate, and an image is generated from the image data. The method further includes generating a background representation from a background noise portion of the image, wherein the background portion includes signal information undesired for further processing and generating a background subtracted image by subtracting the background representation from the image. In this way, a separate background image is not needed to subtract the background from the image including the regions-of-interest to improve image quality.
Abstract:
A method for improving image quality is provided. The method includes receiving image data of a substrate, wherein the image data is generated by imaging the substrate, and an image is generated from the image data. The method further includes generating a background representation from a background noise portion of the image, wherein the background portion includes signal information undesired for further processing and generating a background subtracted image by subtracting the background representation from the image. In this way, a separate background image is not needed to subtract the background from the image including the regions-of-interest to improve image quality.
Abstract:
A method for calibrating a biological instrument is provided. The method comprises the steps of acquiring an image of at least one biological sample array, determining a first region of interest within the image, wherein the first region of interest comprises a first plurality of locations on the at least one biological array; and identifying within the first region of interest, a plurality of image elements associated with each of the first plurality of locations on the at least one biological array.
Abstract:
A computer-implemented method for identifying a first object-of-interest is provided. The first object-of-interest includes two identifiers and a sample portion. The method includes imaging the first object-of-interest including the two identifiers. The imaging generates a first set of image data. The method further includes determining a position of the first object-of- interest in the field-of-view of an optical sensor and determining the two identifiers from the first set of image data. The method includes identifying the first object-of-interest based on the two identifiers.