Cellular time-series imaging, modeling, and analysis system
US12277711B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 17, 2024 |
| Grant date | Apr 15, 2025 |
| Priority date | — |
| Expiry date | May 17, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/698
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates generally to providing a cellular time-series imaging, modeling, and analysis platform, and more specifically to acquiring time-series image data and using various machine learning models to model and analyze subcellular particle movements and changes in cellular positional and morphological characteristics using unsupervised embedding generation. The platform can be applied to evaluate various cellular and subcellular processes by generating summary embeddings of time-series image data that enable analysis of dynamic cellular and subcellular processes over time (e.g., the movement of particles within a cell, neurites on developing neurons, etc.) for enhanced identification of differences between cell states (e.g., between sick and healthy cells) and generation of disease models which can be used to analyze the impact of various therapeutic interventions, among other improvements described throughout.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.