Training data generation for artificial intelligence-based sequencing

    公开(公告)号:US11347965B2

    公开(公告)日:2022-05-31

    申请号:US16825987

    申请日:2020-03-20

    Applicant: Illumina, Inc.

    Abstract: The technology disclosed relates to generating ground truth training data to train a neural network-based template generator for cluster metadata determination task. In particular, it relates to accessing sequencing images, obtaining, from a base caller, a base call classifying each subpixel in the sequencing images as one of four bases (A, C, T, and G), generating a cluster map that identifies clusters as disjointed regions of contiguous subpixels which share a substantially matching base call sequence, determining cluster metadata based on the disjointed regions in the cluster map, and using the cluster metadata to generate the ground truth training data for training the neural network-based template generator for the cluster metadata determination task.

    System and method for storage
    7.
    发明授权

    公开(公告)号:US11590505B2

    公开(公告)日:2023-02-28

    申请号:US17254462

    申请日:2020-05-26

    Applicant: ILLUMINA, INC.

    Abstract: Devices, systems, and methods for non-volatile storage include a well activation device operable to modify one or more wells from a plurality of wells of a flow cell to provide a set of readable wells. Readable wells are configured to allow exposure of a well to substances from nucleotide sequencing fluids, and prevent exposure to other substances and fluids, such as nucleotide synthesizing fluids. The well activation device may also modify wells to provide a set of writeable wells. This set of wells is configured to allow exposure to the nucleotide synthesizing fluids and substances; and prevent exposure to the nucleotide sequencing fluids and substances. There may also be provisions made for risk mitigation for data errors such as generating commands to write specified data to a nucleotide sequence associated with a particular location in a storage device, reading the nucleotide sequence and performing a comparison.

    Artificial intelligence-based generation of sequencing metadata

    公开(公告)号:US11210554B2

    公开(公告)日:2021-12-28

    申请号:US16825991

    申请日:2020-03-20

    Applicant: Illumina, Inc.

    Abstract: The technology disclosed uses neural networks to determine analyte metadata by (i) processing input image data derived from a sequence of image sets through a neural network and generating an alternative representation of the input image data, the input image data has an array of units that depicts analytes and their surrounding background, (ii) processing the alternative representation through an output layer and generating an output value for each unit in the array, (iii) thresholding output values of the units and classifying a first subset of the units as background units depicting the surrounding background, and (iv) locating peaks in the output values of the units and classifying a second subset of the units as center units containing centers of the analytes.

Patent Agency Ranking