Phenotype analysis of cellular image data using a deep metric network
US10467754B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 9, 2017 |
| Grant date | Nov 5, 2019 |
| Priority date | — |
| Expiry date | Nov 9, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to a phenotype analysis of cellular image data using a deep metric network. One example embodiment includes a method. The method includes receiving, by a computing device, a plurality of candidate images of candidate biological cells each having a respective candidate phenotype. The method also includes obtaining, by the computing device for each of the plurality of candidate images, a semantic embedding associated with the respective candidate image. Further, the method includes grouping, by the computing device, the plurality of candidate images into a plurality of phenotypic strata based on their respective semantic embeddings.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.