Patent ID: 11961593
Assignee: ILLUMINA, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A neural network-implemented method of determining analyte data from image data generated based upon one or more analytes, the neural network-implemented method including:
receiving input image data, the input image data derived from a sequence of images,
wherein each image in the sequence of images represents an imaged region corresponding to a portion of a slide and depicts intensity emissions from one or more clusters of oligonucleotides on the slide indicative of the one or more analytes and a surrounding background of the intensity emissions at a respective one of a plurality of sequencing cycles of a nucleic-acid sequencing run, and
wherein the input image data comprises image patches extracted from each image in the sequence of images;

processing the input image data through a neural network to generate an alternative representation of the input image data; and
processing the alternative representation through an output layer to generate an output that indicates properties of respective portions of the imaged region by identifying centers of the one or more analytes as center units at centers of mass of disjoint regions representing the one or more analytes via the intensity emissions depicted by the input image data.