Interactive and Automated Tissue Image Analysis with Global Training Database and Variable-Abstraction Processing in Cytological Specimen Classification and Laser Capture Microdissection Applications
AssigneeLife Technologies Corporation
InventorDavid H. KIL
Life of this patent
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Abstract
A system and method for performing tissue image analysis and region of interest identification for further processing applications such as laser capture microdissection is provided. The invention provides three-stage processing with flexible state transition that allows image recognition to be performed at an appropriate level of abstraction. The three stages include processing at one or more than one of the pixel, subimage and object levels of processing. Also, the invention provides both an interactive mode and a high-throughput batch mode which employs training files generated automatically.
Claims20
1-18. (canceled)
A computer-implemented method for image analysis, the computer-implemented method comprising:
- capturing a first image of a tissue sample using laser capture microdissection;
- transforming the first image into a feature space;
- selecting a level of abstraction;
- selecting a database containing parameters based on the selected level of abstraction;
- classifying the first image into regions of interest employing the parameters from the database based on the selected level of abstraction;
- updating the parameters of the database with data from the first image;
- capturing a second image of a tissue sample using laser capture microdissection;
- transforming the second image into a feature space;
- classifying the second image into regions of interest employing the updated parameters from the database based on the selected level of abstraction;
- and
- updating the parameters of the database with data from the second image.
A computer-implemented method for image analysis, the computer-implemented method comprising:
- receiving a first image of a first tissue sample using laser capture microdissection;
- selecting a database containing parameters;
- classifying the first image into at least one region of interest employing the parameters from the database;
- updating the parameters of the database with data from the first image to produce updated parameters;
- capturing a second image of a tissue sample using laser capture microdissection;
- classifying the second image into regions of interest employing the updated parameters from the database based;
- and
- updating the parameters of the database a second time with data from the second image.
Dependencies are inferred from the claim text.