The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 14, 2025

Filed:

Feb. 01, 2023
Applicant:

Illumina, Inc., San Diego, CA (US);

Inventors:

Kishore Jaganathan, San Francisco, CA (US);

John Randall Gobbel, Brisbane, CA (US);

Amirali Kia, San Mateo, CA (US);

Assignee:

Illumina, Inc., San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2021.12); G06F 16/907 (2018.12); G06F 18/21 (2022.12); G06F 18/214 (2022.12); G06F 18/23 (2022.12); G06F 18/23211 (2022.12); G06F 18/24 (2022.12); G06F 18/2415 (2022.12); G06F 18/2431 (2022.12); G06N 3/04 (2022.12); G06N 3/08 (2022.12); G06N 3/084 (2022.12); G06N 7/01 (2022.12); G06V 10/26 (2021.12); G06V 10/44 (2021.12); G06V 10/75 (2021.12); G06V 10/762 (2021.12); G06V 10/764 (2021.12); G06V 10/77 (2021.12); G06V 10/778 (2021.12); G06V 10/98 (2021.12); G06V 20/69 (2021.12); G16B 40/00 (2018.12); G16B 40/20 (2018.12); G06N 5/046 (2022.12); G06V 20/40 (2021.12);
U.S. Cl.
CPC ...
G16B 40/20 (2019.01); G06F 16/907 (2018.12); G06F 18/214 (2022.12); G06F 18/217 (2022.12); G06F 18/23 (2022.12); G06F 18/23211 (2022.12); G06F 18/24 (2022.12); G06F 18/2415 (2022.12); G06F 18/2431 (2022.12); G06N 3/04 (2012.12); G06N 3/08 (2012.12); G06N 3/084 (2012.12); G06N 7/01 (2022.12); G06V 10/267 (2021.12); G06V 10/454 (2021.12); G06V 10/751 (2021.12); G06V 10/763 (2021.12); G06V 10/764 (2021.12); G06V 10/7715 (2021.12); G06V 10/7784 (2021.12); G06V 10/82 (2021.12); G06V 10/993 (2021.12); G06V 20/69 (2021.12); G16B 40/00 (2019.01); G06N 5/046 (2012.12); G06V 20/47 (2021.12);
Abstract

The technology disclosed processes input data through a neural network and produces an alternative representation of the input data. The input data includes per-cycle image data for each of one or more sequencing cycles of a sequencing run. The per-cycle image data depicts intensity emissions of one or more analytes and their surrounding background captured at a respective sequencing cycle. The technology disclosed processes the alternative representation through an output layer and producing an output and base calls one or more of the analytes at one or more of the sequencing cycles based on the output.


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