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 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 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 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 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 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 performing separation assays of biochemical samples includes computing a quality metric based on peak data produced during the separation run. The quality metric is the basis for selecting a subsequent step in the assay, including whether to re-run the separation when the quality metric indicates a low quality separation run. In a preferred embodiment, the quality metric is computed based on a peak resolution metric indicative of the peak resolution of the sample peaks in the data and a signal-to-noise ratio of the data. When a co-migrating standard is included in the separation run, the quality metric is further based on the degree of migration linearity of the reference peaks produced by the standard. The method was reduced to practice in separations to size and sort DNA fragments in high-throughput capillary array electrophoresis separations.