Abstract: A biological analysis system is provided. The system comprises an interchangeable assembly configured to accommodate any one of a plurality of sample holders, each respective sample holder configured to receive a plurality of samples. The system also includes a control system configured to cycle the plurality of samples through a series of temperatures. The system further includes an optical system configured to detect fluorescent signals emitted from the plurality of samples. The optical system, in particular, can comprise a single field lens, an excitation source, an optical sensor, and a plurality of filter components. The excitation source can be one or more light emitting diodes. The field lends can be a bi-convex lens.

Abstract: Systems and methods are provided for processing a melting or dissociation curve of a DNA or other sample, for example, during PCR processing. In some embodiments, detection of the melting point and melting curve behavior can be enhanced by taking a derivative of the curve, and detecting peaks in the differential dissociation curve. In some embodiments, the derivative operation can comprise the use of edge-processing, or other detection algorithms. In some embodiments, the dissociation analysis can comprise removing low-frequency (or pedestal) components of the differential dissociation curve. In some embodiments, the differential dissociation curve can exhibit a smoothed or more regular appearance than the raw detected data.

Abstract: A biological analysis system is provided. The system comprises an interchangeable assembly configured to accommodate any one of a plurality of sample holders, each respective sample holder configured to receive a plurality of samples. The system also includes a control system configured to cycle the plurality of samples through a series of temperatures. The system further includes an optical system configured to detect fluorescent signals emitted from the plurality of samples. The optical system, in particular, can comprise a single field lens, an excitation source, an optical sensor, and a plurality of filter components. The excitation source can be one or more light emitting diodes. The field lends can be a bi-convex lens.

Abstract: The present application provides for various embodiments of methods for the analysis of high resolution melt (HRM) curve data; where statistical assay variations in melt curve data may result from system noise in an analysis system. Such system noise may arise from various sources, such as the thermal non-uniformity of a thermocycler block in a thermal cycler apparatus, a detection system, etc. Additionally, various methods for the analysis of HRM curve data may provide an identification of a sample without the need for a user inputted information.

Abstract: Methods are provided that operate on raw dissociation data and dissociation curves to generate calibrations of the detected data and to further improve analysis of the data. The data can be taken from each support region of a multi-region platform, for example, from each well of a multi-well plate. Each support region can be loaded with portions of the same sample. In some embodiments, a dissociation curve correction can be calibrated for the sample, prior to a run of an experiment using such sample. In some embodiments, a method is provided for generating a melting transition region of dissociation curves that show the melting characteristics of the sample. In some embodiments, dye temperature dependence correction can be performed on the dissociation curve data to further improve analysis. In some embodiments, a feature vector can be derived from the melt data, and the feature vector can be used to further improve genotyping analysis of the dissociation curves.

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: Systems and methods are provided for processing a melting or dissociation curve of a DNA or other sample, for example, during PCR processing. In some embodiments, detection of the melting point and melting curve behavior can be enhanced by taking a derivative of the curve, and detecting peaks in the differential dissociation curve. In some embodiments, the derivative operation can comprise the use of edge-processing, or other detection algorithms. In some embodiments, the dissociation analysis can comprise removing low-frequency (or pedestal) components of the differential dissociation curve. In some embodiments, the differential dissociation curve can exhibit a smoothed or more regular appearance than the raw detected data.

Abstract: Systems and methods are provided for processing a melting or dissociation curve of a DNA or other sample, for example, during PCR processing. In some embodiments, detection of the melting point and melting curve behavior can be enhanced by taking a derivative of the curve, and detecting peaks in the differential dissociation curve. In some embodiments, the derivative operation can comprise the use of edge-processing, or other detection algorithms. In some embodiments, the dissociation analysis can comprise removing low-frequency (or pedestal) components of the differential dissociation curve. In some embodiments, the differential dissociation curve can exhibit a smoothed or more regular appearance than the raw detected data.

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 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: The present application provides for various embodiments of methods for the analysis of high resolution melt (HRM) curve data; where statistical assay variations in melt curve data may result from system noise in an analysis system. Such system noise may arise from various sources, such as the thermal non-uniformity of a thermocycler block in a thermal cycler apparatus, a detection system, etc. Additionally, various methods for the analysis of HRM curve data may provide an identification of a sample without the need for a user inputted information.

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: Systems and methods are provided for processing a melting or dissociation curve of a DNA or other sample, for example, during PCR processing. In some embodiments, detection of the melting point and melting curve behavior can be enhanced by taking a derivative of the curve, and detecting peaks in the differential dissociation curve. In some embodiments, the derivative operation can comprise the use of edge-processing, or other detection algorithms. In some embodiments, the dissociation analysis can comprise removing low-frequency (or pedestal) components of the differential dissociation curve. In some embodiments, the differential dissociation curve can exhibit a smoothed or more regular appearance than the raw detected data.

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 rep resentation 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 biological analysis system is provided. The system comprises an interchangeable assembly configured to accommodate any one of a plurality of sample holders, each respective sample holder configured to receive a plurality of samples. The system also includes a control system configured to cycle the plurality of samples through a series of temperatures. The system further includes an optical system configured to detect fluorescent signals emitted from the plurality of samples. The optical system, in particular, can comprise a single field lens, an excitation source, an optical sensor, and a plurality of filter components. The excitation source can be one or more light emitting diodes. The field lens can be a bi-convex lens.

Abstract: Methods are provided that operate on raw dissociation data and dissociation curves to generate calibrations of the detected data and to further improve analysis of the data. The data can be taken from each support region of a multi-region platform, for example, from each well of a multi-well plate. Each support region can be loaded with portions of the same sample. In some embodiments, a dissociation curve correction can be calibrated for the sample, prior to a run of an experiment using such sample. In some embodiments, a method is provided for generating a melting transition region of dissociation curves that show the melting characteristics of the sample. In some embodiments, dye temperature dependence correction can be performed on the dissociation curve data to further improve analysis. In some embodiments, a feature vector can be derived from the melt data, and the feature vector can be used to further improve genotyping analysis of the dissociation curves.

Abstract: Methods are provided that operate on raw dissociation data and dissociation curves to generate calibrations of the detected data and to further improve analysis of the data. The data can be taken from each support region of a multi-region platform, for example, from each well of a multi-well plate. Each support region can be loaded with portions of the same sample. In some embodiments, a dissociation curve correction can be calibrated for the sample, prior to a run of an experiment using such sample. In some embodiments, a method is provided for generating a melting transition region of dissociation curves that show the melting characteristics of the sample. In some embodiments, dye temperature dependence correction can be performed on the dissociation curve data to further improve analysis. In some embodiments, a feature vector can be derived from the melt data, and the feature vector can be used to further improve genotyping analysis of the dissociation curves.

Abstract: The present application provides for various embodiments of methods for the analysis of high resolution melt (HRM) curve data; where statistical assay variations in melt curve data may result from system noise in an analysis system. Such system noise may arise from various sources, such as the thermal non-uniformity of a thermocycler block in a thermal cycler apparatus, a detection system, etc. Additionally, various methods for the analysis of HRM curve data may provide an identification of a sample without the need for a user inputted information.