Abstract: A method of determining a plurality of positions associated with a plurality of reaction chambers of a microfluidic device includes a) providing a baseline image; b) providing a template image of a reaction chamber; and c) selecting a region of the baseline image. The method also includes d) performing a matching process including matching the template image to one or more portions of the region of the baseline image; e) determining a position of a first chamber; and f) predicting a position of a second chamber. The method further includes g) repeating steps c) through f) for subsequent chambers.

Abstract: A method for processing an image of a microfluidic device. The method includes receiving a first image of a microfluidic device. The first image corresponds to a first state. Additionally, the method includes receiving a second image of the microfluidic device. The second image corresponds to a second state. Moreover, the method includes transforming the first image and the second image into a third coordinate space. Also, the method includes obtaining a third image based on at least information associated with the transformed first image and the transformed second image, and processing the third image to obtain information associated with the first state and the second state.

Abstract: The present invention provides for determining relative copy number difference for one or more target nucleic acid sequences between a test sample and a reference sample or reference value derived therefrom. The methods facilitate the detection of copy number differences less than 1.5-fold.

Abstract: A method for processing an image of a microfluidic device. The method includes receiving a first image of a microfluidic device. The first image corresponds to a first state. Additionally, the method includes receiving a second image of the microfluidic device. The second image corresponds to a second state. Moreover, the method includes transforming the first image and the second image into a third coordinate space. Also, the method includes obtaining a third image based on at least information associated with the transformed first image and the transformed second image, and processing the third image to obtain information associated with the first state and the second state.

Abstract: A method of estimating a concentration of DNA molecules in a biological sample includes storing a number of a plurality of reaction sites in a memory and distributing the biological sample among the plurality of reaction sites. The method also includes determining a number of the plurality of reaction sites characterized by a presence of one or more of the DNA molecules and computing a portion of the plurality of reaction sites characterized by the presence of the one or more of the DNA molecules. The method further includes estimating the concentration of the DNA molecules as a function of the portion of the plurality of reaction sites and computing a confidence interval for the estimated concentration of DNA molecules.

Abstract: A method for processing an image of a microfluidic device. The method includes receiving a first image of a microfluidic device. The first image corresponds to a first state. Additionally, the method includes receiving a second image of the microfluidic device. The second image corresponds to a second state. Moreover, the method includes transforming the first image and the second image into a third coordinate space. Also, the method includes obtaining a third image based on at least information associated with the transformed first image and the transformed second image, and processing the third image to obtain information associated with the first state and the second state.

Abstract: A method of processing data associated with fluorescent emissions from a microfluidic device. The method includes performing an auto-focus process associated with a first image of the microfluidic device and performing an auto-exposure process associated with the first image of the microfluidic device. The method also includes capturing a plurality of images of the microfluidic device. The plurality of images are associated with a plurality of thermal cycles. The method further includes performing image analysis of the plurality of captured images to determine a series of optical intensities and performing data analysis of the series of optical intensities to provide a series of change in threshold values.

Abstract: A method of determining a plurality of positions associated with a plurality of reaction chambers of a microfluidic device includes a) providing a baseline image; b) providing a template image of a reaction chamber; and c) selecting a region of the baseline image. The method also includes d) performing a matching process including matching the template image to one or more portions of the region of the baseline image; e) determining a position of a first chamber; and f) predicting a position of a second chamber. The method further includes g) repeating steps c) through f) for subsequent chambers.

Abstract: A method for processing an image of a microfluidic device. The method includes receiving a first image of a microfluidic device. The first image corresponds to a first state. Additionally, the method includes receiving a second image of the microfluidic device. The second image corresponds to a second state. Moreover, the method includes transforming the first image and the second image into a third coordinate space. Also, the method includes obtaining a third image based on at least information associated with the transformed first image and the transformed second image, and processing the third image to obtain information associated with the first state and the second state.

Abstract: In a first aspect, a method and an apparatus for processing an image classifies the image content of a portion of the image, and in response thereto, selects between linear interpolation (e.g., cubic) and non-linear interpolation (median) methods to interpolate data points for the portion of the image. In one embodiment, non-linear interpolation is selected if the image content of the portion of the image is bi-level, or if portion of the image includes an edge and lacks a specified measure of correlation along a line. Linear interpolation is used in portions where the image content does not include an identified edge and in portions where there is an identified edge in combination with an identified edge direction or a path of isobrightness.

Abstract: A component of an image processor receives at least a portion of one or more reconstructed versions of an image including a causal context of an object pixel of the image, and provides a prediction for the object pixel computed as a weighted sum according to at least one measure of correlation and a weighting policy. A component receives a first prediction of an object pixel and reconstructed versions of an image, and provides a second prediction for the object pixel in accordance with the first prediction for the object pixel and a substantially mean error for the context. A component receives one or more prediction differences versions of the image including a causal context prediction difference of an object prediction difference of the image, and provides a prediction for the object prediction difference computed as a weighted sum according to at least one measure of correlation and a weighting policy.

Abstract: In one method of the present invention a plurality of thresholds ranges is selected. A first coefficient of the tree structure is compared against the plurality of threshold ranges during a first single traversal of the tree structure and a second coefficient of the tree structure against the plurality of threshold ranges during the first single traversal of the tree structure. The method of the present invention also determines whether the first or second coefficient satisfies a selected condition with respect to either of the threshold ranges. The difference in addresses between the addresses of the first and second coefficients is determined if the first and second coefficient satisfy the selected condition. The method of the present invention then codes the location of the second coefficient based on the address of the first coefficient using the difference.

Abstract: A method codes a hierarchical subband system of coefficients of a wavelet transform that is representative of an image. One step of this method includes receiving the coefficients of a wavelet transform. A second step includes selecting a first plurality of thresholds ranges. A third step includes comparing the coefficients of a tree structure of coefficients against the plurality of threshold ranges during a first single traversal of the tree structure. A fourth step includes coding the coefficients of the tree structure with symbols based on whether the coefficients are or are not within at least one of the plurality of threshold ranges. A method may include defining a set of symbols for coding a hierarchical subband system of coefficients of a wavelet transform that is representative of an image.