Cell line development image characterization with convolutional neural networks
US12205386B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 15, 2022 |
| Grant date | Jan 21, 2025 |
| Priority date | — |
| Expiry date | Aug 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes, by a computing system, receiving a querying image depicting a sampling area, processing the querying image using a single cluster detection model to identify one or more regions of the querying image depicting a cluster in the sampling area, processing the one or more regions using a cluster verification deep-learning model to determine whether each depicted cluster is a cell cluster, and determining that exactly one of the identified one or more regions depicts a cluster that is a cell cluster. The method further includes processing the region depicting the cell cluster using a morphology deep-learning model to determine that there is only one cell in the cell cluster and to determine that die morphology of the cell is acceptable.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.