Abstract: A method of reconstructing a cell using a raw image of a biological probe array is described that comprises (a) assigning an intensity value to a reconstructed cell of a reconstructed image, where each reconstructed cell comprises a plurality of reconstructed pixels; (b) determining a weighted intensity value for each reconstructed pixel in the reconstructed cell using the intensity value of the reconstructed cell and a weight value; (c) determining an error value for each reconstructed pixel using the weighted intensity value and a raw intensity value corresponding to a pixel in the raw image; (d) updating the intensity value of the reconstructed cell using the error value; and (e) repeating steps (b)-(d) until convergence, wherein the intensity value for the reconstructed cell is representative of light emitted from a corresponding probe feature on the biological probe array.

Abstract: Embodiments of the invention provide methods, computer software products and systems for detecting pixel stutter of a scanner. In one embodiment, a numeric count of stuttered pixels in both the x (row) and y (column) directions and a graphic display of the stuttered pixels overlaid on the image data are provided by the invention. The y-direction stutter count provides the estimate of pixel stutter from pure statistical data variations.

Abstract: A method for calling the genotype of a sample is described comprising the acts of receiving emission data for one or more target sequences each hybridized to a plurality of probe sets, where each of the probe sets comprises a plurality of probe features; calculating a set of values for each of the probe sets associated with each target sequence; selecting one of the set of values for each of the probe sets associated with each target sequence, wherein the value is selected if it is greater than a reference value; determining a significance value from the selected values of all the probe sets associated with each target sequence; and producing a genotype call for each target sequence based upon the significance value.

Abstract: An image alignment tool is described for adjusting the alignment of a grid with an image. An initial grid aligner determines an initial, approximately aligned, position of the grid. An intensity scorer determines, for each of a plurality of test grid elements of the plurality of grid elements, a set of intensity scores. Each member of the set is based, at least in part, on intensities of pixels of one or more image features within the test grid element in one of the initial or additional positions. A combined-rank-score generator combines, for each of the initial and additional grid positions, members of sets of rank scores corresponding to the grid position in order to generate a combined rank score for the grid position. A grid alignment adjuster adjusts the alignment of the grid based on a comparison among the combined rank scores.