公开(公告)号：US20230360733A1

公开(公告)日：2023-11-09

申请号：US18312663

申请日：2023-05-05

Applicant: Life Technologies Corporation

Inventor： Cheng-Zong BAI ,  Eugene INGERMAN ,  Alison LAI ,  Werner PUSCHITZ ,  Chao WANG

IPC: G16B40/10 ,  G16B30/00

CPC classification number: G16B40/10 ,  G16B30/00

Abstract: A method for correcting signal measurements comprises an artificial neural network (ANN). The ANN receives a plurality of signal measurements in a channel of an input layer. The ANN is applied to the signal measurements and produces a plurality of signal correction values. The signal correction values may be subtracted from the signal measurements to form corrected signal measurements. The corrected signal measurements may be provided to a base caller to produce a sequence of base calls. The ANN may comprise a convolutional neural network (CNN). The CNN may have a U-NET architecture that includes an encoder and a decoder. The U-NET may include a Convolutional Block Attention Module (CBAM). The CBAM may applied to the outputs of a last pooling layer of the encoder and provides refined feature maps to a first layer of the decoder. The input signal measurements may be generated by a nucleic acid sequencing instrument.