Image analysis of self-organized multicellular patterns
| Autor: | Assaf Zemel, Galina Khachaturyan, Ralf Kemkemer, Christian Thies |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Materials science Biomedical Engineering Pattern formation Cell segmentation Model system Elastomer 01 natural sciences Image (mathematics) 03 medical and health sciences Multicellular organism 030104 developmental biology 0103 physical sciences 010306 general physics Biological system |
| Zdroj: | Current Directions in Biomedical Engineering. 2:523-527 |
| ISSN: | 2364-5504 |
| Popis: | Analysis of multicellular patterns is required to understand tissue organizational processes. By using a multi-scale object oriented image processing method, the spatial information of cells can be extracted automatically. Instead of manual segmentation or indirect measurements, such as general distribution of contrast or flow, the orientation and distribution of individual cells is extracted for quantitative analysis. Relevant objects are identified by feature queries and no low-level knowledge of image processing is required. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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