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IP Roundup: Agilent, Canon, Predictive Biosciences, Meso-Scale Technologies, Luminex


Agilent Technologies of Santa Clara, Calif., has received US Patent No. 8,530,157, "SNP-dependent end labeling method." The method includes contacting a genomic sample with a restriction endonuclease that recognizes a SNP site in the sample, in order to provide a digested genomic sample. The digested genomic sample is then contacted with an extension enzyme and a labeled nucleotide in order to produce a labeled sample.

Canon of Tokyo has received US Patent No. 8,530,163, "Probe, probe set, probe carrier, and testing method." A probe array is provided for the classification of different species of funguses. Using the array, one can detect fungus of the same species and distinguish a given fungus from fungus of other species.

Predictive Biosciences of Lexington, Mass., has received US Patent No. 8,530,198, "Detection of nucleic acids and proteins." The patent claims a method of detecting multiple analytes in a sample. It includes obtaining a sample that contains target nucleic acids and proteins; introducing an aptamer that binds to the target protein in the sample; and conducting a single assay, where the assay detects both the target nucleic acid and the target protein.

Meso Scale Technologies of Gaithersburg, Md., has received US Patent No. 8,530,230, "Multiplexed assay methods." The methods include contacting a portion of a sample with binding surfaces in a measurement chamber; immobilizing an analyte on the surfaces; binding a detecting reagent to the analyte; contacting a second portion of a sample to the same binding surfaces, where the second portion of the sample has been subjected to different processes compared to the first portion; immobilizing an analyte on that second portion; and measuring the amounts of the first detection reagent and second detection reagent bound to the surfaces.

Luminex of Austin, Texas, has received US Patent No. 8,532,351, "Methods and systems for image data processing." The patent provides methods, storage mediums, and systems for image data processing. These include configurations to perform background signal measurement; particle identification using classification dye emission and cluster rejection; inter-image alignment; inter-image particle correlation; fluorescence integration of reporter emission; and image plane normalization.