US 12,217,831 B2
Artificial intelligence-based quality scoring
Kishore Jaganathan, San Francisco, CA (US); John Randall Gobbel, Brisbane, CA (US); and Amirali Kia, San Mateo, CA (US)
Assigned to Illumina, Inc., San Diego, CA (US)
Filed by Illumina, Inc., San Diego, CA (US)
Filed on Apr. 5, 2023, as Appl. No. 18/296,125.
Application 18/296,125 is a continuation of application No. 16/826,134, filed on Mar. 20, 2020, granted, now 11,676,685.
Claims priority of provisional application 62/821,618, filed on Mar. 21, 2019.
Claims priority of provisional application 62/821,724, filed on Mar. 21, 2019.
Claims priority of provisional application 62/821,602, filed on Mar. 21, 2019.
Claims priority of provisional application 62/821,766, filed on Mar. 21, 2019.
Claims priority of provisional application 62/821,681, filed on Mar. 21, 2019.
Claims priority of application No. 2023310 (NL), filed on Jun. 14, 2019; application No. 2023311 (NL), filed on Jun. 14, 2019; application No. 2023312 (NL), filed on Jun. 14, 2019; application No. 2023314 (NL), filed on Jun. 14, 2019; and application No. 2023316 (NL), filed on Jun. 14, 2019.
Prior Publication US 2024/0071573 A1, Feb. 29, 2024
Int. Cl. G16B 40/00 (2019.01); G06F 16/907 (2019.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/23 (2023.01); G06F 18/23211 (2023.01); G06F 18/24 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06N 7/01 (2023.01); G06V 10/26 (2022.01); G06V 10/44 (2022.01); G06V 10/75 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/778 (2022.01); G06V 10/82 (2022.01); G06V 10/98 (2022.01); G06V 20/69 (2022.01); G16B 40/20 (2019.01); G06N 5/046 (2023.01); G06V 20/40 (2022.01)
CPC G16B 40/20 (2019.02) [G06F 16/907 (2019.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/23 (2023.01); G06F 18/23211 (2023.01); G06F 18/24 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 7/01 (2023.01); G06V 10/267 (2022.01); G06V 10/454 (2022.01); G06V 10/751 (2022.01); G06V 10/763 (2022.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/7784 (2022.01); G06V 10/82 (2022.01); G06V 10/993 (2022.01); G06V 20/69 (2022.01); G16B 40/00 (2019.02); G06N 5/046 (2013.01); G06V 20/47 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
at least one processor; and
a non-transitory computer readable medium storing instructions that, when executed by the at least one processor, cause the system to:
identify one or more base calls for one or more analytes based on sequencing images captured at one or more sequencing cycles;
feed, to an input layer of a neural network, input data representing the sequencing images;
generate, based on the input data and utilizing an output layer of the neural network, one or more predicted quality indications for the one or more base calls; and
determine, based on the one or more predicted quality indications, one or more quality predictions for the one or more base calls.