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AssigneesNagaoka & Co., Ltd., Burstein Technologies, Inc.
InventorsMark O. Worthington, Gregory R. Basile
Estimating the term…
Methods and apparatus for analyzing nonoperational data acquired from optical discs, and in particular, trackable optical discs having concurrently readable nonoperational structures are provided. Analysis can involve identifying patterns in the data that reproducibly distinguish underlying structures, or identifying patterns in the data that report physical properties of the nonoperational structures. When an optical disc has a plurality of physically nonidentical concurrently readable nonoperational structures, analysis can involve identifying patterns in the data that distinguish among the physically nonidentical nonoperational structures. Also, relative physical locations of nonoperational structures on the disc can be calculated. A system for remotely analyzing data in order to expedite complex data analysis and reporting the results thereof is also provided.
A method of analyzing data acquired by reading an optical disc having at least one readable analyte-specific signal element, said method comprising:
A method of analyzing data acquired by reading an optical disc having at least one readable analyte-specific signal element, said method comprising:
A method of analyzing data generated by reading a trackable optical disc having a plurality of physically non-identical concurrently readable analyte-specific signal elements, said method comprising identifying patterns in said data that distinguish among said physically non-identical concurrently readable analyte-specific signal elements, wherein said identifying is performed in a manner that is dependent on absolute position of said pattern in said data, and wherein said the act of identifying is performed using a structural dimension of said physically non-identical concurrently readable analyte-specific signal elements measured in a substantially tangential direction extending across at least two adjacent tracks on the disc.
Dependencies are inferred from the claim text.