Region-Based PDEs for Cells Counting and Segmentation in 3D+Time Images of Vertebrate Early Embryogenesis
This paper is devoted to the segmentation of cell nuclei from time lapse confocal microscopy images, taken throughout early Zebrafish embryogenesis. The segmentation allows to identify and quantify the number of cells in the animal model. This kind of information is relevant to estimate important bi...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2009-01-01
|
| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2009/968986 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832552017043652608 |
|---|---|
| author | Barbara Rizzi Alessandro Sarti |
| author_facet | Barbara Rizzi Alessandro Sarti |
| author_sort | Barbara Rizzi |
| collection | DOAJ |
| description | This paper is devoted to the segmentation of cell nuclei from time lapse confocal microscopy images, taken throughout early Zebrafish embryogenesis. The segmentation allows to identify and quantify the number of cells in the animal model. This kind of information is relevant to estimate important biological parameters such as the cell proliferation rate in time and space. Our approach is based on the active contour model without edges. We compare two different formulations of the model equation and evaluate their performances in segmenting nuclei of different shapes and sizes. Qualitative and quantitative comparisons are performed on both synthetic and real data, by means of suitable gold standard. The best approach is then applied on a number of time lapses for the segmentation and counting of cells during the development of a zebrafish embryo between the sphere and the shield stage. |
| format | Article |
| id | doaj-art-690aa392577e40839ec5f42cc75bed1d |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-690aa392577e40839ec5f42cc75bed1d2025-02-03T05:59:49ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962009-01-01200910.1155/2009/968986968986Region-Based PDEs for Cells Counting and Segmentation in 3D+Time Images of Vertebrate Early EmbryogenesisBarbara Rizzi0Alessandro Sarti1DEIS, University of Bologna, Via Venezia 52, 47521 Cesena, ItalyDEIS, University of Bologna, Via Risorgimento 2, 40136 Bologna, ItalyThis paper is devoted to the segmentation of cell nuclei from time lapse confocal microscopy images, taken throughout early Zebrafish embryogenesis. The segmentation allows to identify and quantify the number of cells in the animal model. This kind of information is relevant to estimate important biological parameters such as the cell proliferation rate in time and space. Our approach is based on the active contour model without edges. We compare two different formulations of the model equation and evaluate their performances in segmenting nuclei of different shapes and sizes. Qualitative and quantitative comparisons are performed on both synthetic and real data, by means of suitable gold standard. The best approach is then applied on a number of time lapses for the segmentation and counting of cells during the development of a zebrafish embryo between the sphere and the shield stage.http://dx.doi.org/10.1155/2009/968986 |
| spellingShingle | Barbara Rizzi Alessandro Sarti Region-Based PDEs for Cells Counting and Segmentation in 3D+Time Images of Vertebrate Early Embryogenesis International Journal of Biomedical Imaging |
| title | Region-Based PDEs for Cells Counting and Segmentation in 3D+Time Images of Vertebrate Early Embryogenesis |
| title_full | Region-Based PDEs for Cells Counting and Segmentation in 3D+Time Images of Vertebrate Early Embryogenesis |
| title_fullStr | Region-Based PDEs for Cells Counting and Segmentation in 3D+Time Images of Vertebrate Early Embryogenesis |
| title_full_unstemmed | Region-Based PDEs for Cells Counting and Segmentation in 3D+Time Images of Vertebrate Early Embryogenesis |
| title_short | Region-Based PDEs for Cells Counting and Segmentation in 3D+Time Images of Vertebrate Early Embryogenesis |
| title_sort | region based pdes for cells counting and segmentation in 3d time images of vertebrate early embryogenesis |
| url | http://dx.doi.org/10.1155/2009/968986 |
| work_keys_str_mv | AT barbararizzi regionbasedpdesforcellscountingandsegmentationin3dtimeimagesofvertebrateearlyembryogenesis AT alessandrosarti regionbasedpdesforcellscountingandsegmentationin3dtimeimagesofvertebrateearlyembryogenesis |