| Autor: |
Surkova SY; Department of Computational Biology, Center for Advanced Studies, St. Petersburg State Polytechnical University, St. Petersburg, Russia., Myasnikova EM, Kozlov KN, Samsonova AA, Reinitz J, Samsonova MG |
| Jazyk: |
angličtina |
| Zdroj: |
Cell and tissue biology [Cell tissue biol] 2008 Apr; Vol. 2 (2), pp. 200-215. |
| DOI: |
10.1134/S1990519X08020156 |
| Abstrakt: |
In this review, we summarize original methods for the extraction of quantitative information from confocal images of gene-expression patterns. These methods include image segmentation, the extraction of quantitative numerical data on gene expression, and the removal of background signal and spatial registration. Finally, it is possible to construct a spatiotemporal atlas of gene expression from individual images recorded at each developmental stage. Initially all methods were developed to extract quantitative numerical information from confocal images of segmentation gene expression in Drosophila melanogaster. The application of these methods to Drosophila images makes it possible to reveal new mechanisms in the formation of segmentation gene expression domains, as well as to construct a quantitative atlas of segmentation gene expression. Most image processing procedures can be easily adapted to process a wide range of biological images. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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