Group sparsity model for image unmixing
US12243230B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 19, 2023 |
| Grant date | Mar 4, 2025 |
| Priority date | — |
| Expiry date | Dec 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30204
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods described herein relate, among other things, to unmixing more than three stains, while preserving the biological constraints of the biomarkers. Unlimited numbers of markers may be unmixed from a limited-channel image, such as an RGB image, without adding any mathematical complicity to the model. Known co-localization information of different biomarkers within the same tissue section enables defining fixed upper bounds for the number of stains at one pixel. A group sparsity model may be leveraged to explicitly model the fractions of stain contributions from the co-localized biomarkers into one group to yield a least squares solution within the group. A sparse solution may be obtained among the groups to ensure that only a small number of groups with a total number of stains being less than the upper bound are activated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.