Abstract: A computer program product, and related systems and methods, are described that processes emission intensity data corresponding to probes of a biological probe array. The computer program includes a genotype and statistical analysis manager that determines absolute or relative expression values based, at least in part, on a statistical measure of the emission intensity data and at least one user-selectable statistical parameter. The analysis manager may also determine genotype calls for one or more probes based, at least in part, on the emission intensity data. The analysis manager may further display the absolute or relative expression values based, at least in part, on at least one user-selectable display parameter and/or a measure of normalized change between genotype calls. The measure of normalized change may be based, at least in part, on a comparison of genotype calls and a reference value.

Abstract: Systems, methods, and computer program products are described for providing a graphical user interface (GUI) that may include a first openable window of image features constituting, for example, a pseudo-image of a scanned probe array. The image features each have one or more characteristics representing one or more hybridization reactions associated with a probe of the probe array. The GUI also has a second openable window including data features, each relating to one or more quantifications of one or more hybridization reactions associated with a probe of the probe array. This second window may be, for example, a scatter plot of hybridization intensities of probes to two or more labeled samples. The GUI further includes a third openable window including descriptive features such as rows of a spreadsheet. Each row may include descriptive elements associated with a probe.

Abstract: A computer program product, and related systems and methods, are described that processes emission intensity data corresponding to probes of a biological probe array. The computer program includes a genotype and statistical analysis manager that determines absolute or relative expression values based, at least in part, on a statistical measure of the emission intensity data and at least one user-selectable statistical parameter. The analysis manager may also determine genotype calls for one or more probes based, at least in part, on the emission intensity data. The analysis manager may further display the absolute or relative expression values based, at least in part, on at least one user-selectable display parameter and/or a measure of normalized change between genotype calls. The measure of normalized change may be based, at least in part, on a comparison of genotype calls and a reference value.

Abstract: Systems, methods, and computer program products are described for providing a graphical user interface (GUI) that may include a first openable window of image features constituting, for example, a pseudo-image of a scanned probe array. The image features each have one or more characteristics representing one or more hybridization reactions associated with a probe of the probe array. The GUI also has a second openable window including data features, each relating to one or more quantifications of one or more hybridization reactions associated with a probe of the probe array. This second window may be, for example, a scatter plot of hybridization intensities of probes to two or more labeled samples. The GUI further includes a third openable window including descriptive features such as rows of a spreadsheet. Each row may include descriptive elements associated with a probe.

Abstract: Systems, methods, and computer program products are described for adjusting the gain of a scanner. The scanner includes one or more excitation sources, an emission detector having a first gain, and a variable gain element having a second gain. One described method includes receiving a user-selected gain value, adjusting the first gain based on a first portion of the user-selected gain value, and adjusting the second gain based on a second portion of the user-selected gain value. Another described method includes selecting an auto-gain value, adjusting the first gain based on a first portion of the auto-gain value, adjusting the second gain based on a second portion of the auto-gain value, causing the scanner to collect sample pixel intensity values, determining a comparison measure based on comparing the sample pixel intensity values to desired pixel intensity values, and adjusting the auto-gain value based on the comparison measure.

Abstract: Systems, methods, and computer program products are described for aligning multiple images of arrays of biological materials. One method includes aligning a grid with a first image, generating grid alignment data based on the alignment of the grid with the first image, storing the grid alignment data in memory, retrieving the grid alignment data responsive to an indication to align a second image, and analyzing the second image based on the retrieved grid alignment data. In some implementations, the first image and second images are generated by scanning the same array of biological materials. The array may be a spotted array, a synthesized array, or other type of parallel biological assay.

Abstract: Systems, methods, and computer program products are described for specifying a scanning area of a substrate. In accordance with one method, steps include receiving location data corresponding to a plurality of probe-feature locations on the substrate, storing the location data, accessing the location data, and scanning the substrate based on the accessed location data. A scanning system is described that includes a computer, a scanner, and a computer program product. The product, when executed on the computer, accesses location data corresponding to a plurality of probe-feature locations on a substrate, and controls the scanner's scanning of the substrate based on the accessed location data.

Abstract: A system is described that associates grids with a probe array image based upon a positional placement of one or more control features, aligns the grids with one or more pixels based upon a metric value determined by one or more characteristics of the one or more pixels, and generates cell intensity values. The system may also associate grids with a probe array image based upon a positional placement of one or more control features, determine a ratio of pixel intensity values associated with areas of the grid and adjust the positional association of the grid based upon the determined ratio. The system may also associate grids with a probe array image based upon a positional placement of one or more control features and generate cell intensity values based upon weighted pixel intensity values associated with areas of the grid.

Abstract: Systems, methods, and computer program products are described for providing a graphical user interface (GUI) that may include a first openable window of image features constituting, for example, a pseudo-image of a scanned probe array. The image features each have one or more characteristics representing one or more hybridization reactions associated with a probe of the probe array. The GUI also has a second openable window including data features, each relating to one or more quantifications of one or more hybridization reactions associated with a probe of the probe array. This second window may be, for example, a scatter plot of hybridization intensities of probes to two or more labeled samples. The GUI further includes a third openable window including descriptive features such as rows of a spreadsheet. Each row may include descriptive elements associated with a probe.

Abstract: Systems, methods, and computer program products are described for adjusting the gain of a scanner. The scanner includes one or more excitation sources, an emission detector having a first gain, and a variable gain element having a second gain. One described method includes receiving a user-selected gain value, adjusting the first gain based on a first portion of the user-selected gain value, and adjusting the second gain based on a second portion of the user-selected gain value. Another described method includes selecting an auto-gain value, adjusting the first gain based on a first portion of the auto-gain value, adjusting the second gain based on a second portion of the auto-gain value, causing the scanner to collect sample pixel intensity values, determining a comparison measure based on comparing the sample pixel intensity values to desired pixel intensity values, and adjusting the auto-gain value based on the comparison measure.

Abstract: 45Systems, methods, and computer program products are described for aligning multiple images of arrays of biological materials. One method includes aligning a grid with a first image, generating grid alignment data based on the alignment of the grid with the first image, storing the grid alignment data in memory, retrieving the grid alignment data responsive to an indication to align a second image, and analyzing the second image based on the retrieved grid alignment data. In some implementations, the first image and second images are generated by scanning the same array of biological materials. The array may be a spotted array, a synthesized array, or other type of parallel biological assay.

Abstract: Systems, methods, and computer program products are described for specifying a scanning area of a substrate. In accordance with one method, steps include receiving location data corresponding to a plurality of probe-feature locations on the substrate, storing the location data, accessing the location data, and scanning the substrate based on the accessed location data. A scanning system is described that includes a computer, a scanner, and a computer program product. The product, when executed on the computer, accesses location data corresponding to a plurality of probe-feature locations on a substrate, and controls the scanner's scanning of the substrate based on the accessed location data.