Deep learning particle classification platform
US12313523B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Sep 30, 2019 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Dec 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N2015/1006
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Methods and systems for a deep-learning platform for sorting cell populations. An example method includes executing a software-platform associated with analyzing received flow cytometry data obtained via an acquisition device in communication with the computing system, and the software-platform sorting cell populations indicated in the flow cytometry data. User input is received indicating selection of a deep-learning module, the deep-learning module being obtained via a network to supplement the software-platform. The flow cytometry data is analyzed and a machine learning model is selected which was trained based on similar phenotype information as indicated in the flow cytometry data. The machine learning model is applied based on the flow cytometry data, the information being normalized based on the UMI counts associated with the flow cytometry data. A graphical representation of cell populations indicated in the flow cytometry data is presented, the graphical representation sorting the cell populations according to phenotype information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.