US 11,836,614 B2
Image driven quality control for array-based PCR
Yong Chu, Castro Valley, CA (US); Nivedita Majumbar, San Bruno, CA (US); Manjula Aliminati, Santa Clara, CA (US); Yongzhi Chen, Sunnyvale, CA (US); and Kevin Papenfuss, Hudson, NH (US)
Assigned to LIFE TECHNOLOGIES CORPORATION, Carlsbad, CA (US)
Filed by LIFE TECHNOLOGIES CORPORATION, Carlsbad, CA (US)
Filed on Aug. 29, 2019, as Appl. No. 16/555,803.
Claims priority of provisional application 62/725,894, filed on Aug. 31, 2018.
Prior Publication US 2020/0074303 A1, Mar. 5, 2020
Int. Cl. G06N 3/08 (2023.01); C12Q 1/686 (2018.01); G06V 10/82 (2022.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/02 (2006.01)
CPC G06N 3/08 (2013.01) [C12Q 1/686 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06V 10/82 (2022.01); G06N 3/02 (2013.01)] 14 Claims
 
1. A system comprising:
a PCR system;
a reaction array plate;
a convolutional neural network (CNN) configured to receive a sequence of images of the reaction array plate in the PCR system;
an output of the CNN coupled to a control for the reaction array plate; and
at least one recurrent neural network (RNN) coupled to receive feature indications from the CNN, and to transform the feature indications into failure mode predictions.