System for and method of intelligently directed segmentation analysis for automated microscope systems
US8116543B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 13, 2009 |
| Grant date | Feb 14, 2012 |
| Priority date | — |
| Expiry date | Aug 15, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure includes systems and techniques relating to intelligently directed segmentation analysis for automated microscope systems. In general, in one implementation, the technique includes obtaining an image of at least a portion of a scan region including a biological specimen, partitioning the obtained image into zelles, determining one or more parameters of the zelles, performing a cluster analysis on the one or more parameters of the zelles, differentiating tissue of greater interest from tissue of lesser interest in the obtained image based on the cluster analysis and based on a test being performed for the biological specimen, and storing more information for the tissue of greater interest than information for the tissue of lesser interest. The cluster analysis can be a multivariate statistical cluster analysis, and the zelles can be test-dependent zelles (e.g., having dimensions defined according to the test being performed for the biological specimen).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.