Agilent Technologies, Inc.

Scott D Connell

Nicholas Michael Sampas

Glenda Choate Delenstarr

Herbert F Cattell

Andreas N Dorsel

John Frederick Corson

Paul K Wolber

Zohar H Yakhini

Srinka Ghosh

Cynthia Y Enderwick

Biopolymeric array scanners that are capable of automatically selecting a dye specific scale factor to employ for a plurality of different dyes, as wells as methods for making and using the same, are provided. In many embodiments, the actual dye specific scale factor automatically selected by the scanner is one that is equal to a preset 'master' scale factor, so that the scanner reads any supported dye using the same constant scale factor. The dye specific scale factor selection is typically made by reference to a collection of nominal scale factors for each member of the plurality of dyes. In using the subject scanners, a user simply inputs the one or more dyes being used in a given array assay, and the scanner automatically reads the array using an automatically chosen dye specific scale factor for the selected dyes. Also provided are methods of obtaining collections of nominal scale factors and computer readable mediums comprising the same. The subject invention finds use in a variety of different applications, including both genomics and proteomics applications.

Biopolymeric array scanners capable of automatic scale factor selection for a plurality of different dyes, and methods for making and using the same

A method and system for extracting data signals from a scanned image resulting from optical, radiometric, or other types of analysis of a molecular array. The positions of corner features are first located. Then, an initial feature coordinate grid is determined from the positions of the corner features. A refined feature coordinate grid is then calculated based on the positions of strong features, and is used to identify the positions of weak features and the positions of the local background regions surrounding all features. Finally, signal intensity values are extracted from the features and their respective local background regions in the scanned image, and background-subtracted signal intensity values, background-subtracted and normalized signal intensity ratios, and variability information and confidence intervals are determined based on the extracted values.

Method and system for extracting data from surface array deposited features

A method and system for employing pixel-based, signal-intensity data contained within areas of a scanned image of a molecular array corresponding to features and feature backgrounds in order to determine whether or not the features or feature backgrounds have non-uniform signal intensities and are thus outlier features and outlier feature backgrounds. A calculated, estimated variance for the signal intensities within a feature or feature background is compared to a maximum allowable variance calculated for the feature or feature background based on a signal intensity variance model. When the experimental variance is less than or equal to the maximum allowable variance, the feature or feature background is considered to have acceptable signal-intensity uniformity. Otherwise, the feature or feature background is flagged as an outlier feature or outlier feature background.

Method and system for automated outlying feature and outlying feature background detection during processing of data scanned from a molecular array

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Saratoga, CA, United States of America

Scott D Connell