Deep learning based methods and systems for nucleic acid sequencing
US11580641B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 25, 2022 |
| Grant date | Feb 14, 2023 |
| Priority date | — |
| Expiry date | Feb 25, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for determining a plurality of sequences of nucleic acid (e.g., DNA) molecules in a sequencing-by-synthesis process are provided. In one embodiment, the method comprises obtaining images of fluorescent signals obtained in a plurality of synthesis cycles. The images of fluorescent signals are associated with a plurality of different fluorescence channels. The method further comprises preprocessing the images of fluorescent signals to obtain processed images. Based on a set of the processed images, the method further comprises detecting center positions of clusters of the fluorescent signals using a trained convolutional neural network (CNN) and extracting, based on the center positions of the clusters of fluorescent signals, features from the set of the processed images to generate feature embedding vectors. The method further comprises determining, in parallel, the plurality of sequences of DNA molecules using the extracted features based on a trained attention-based neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.