| Literature DB >> 18820476 |
Svetlana Surkova1, Ekaterina Myasnikova, Hilde Janssens, Konstantin N Kozlov, Anastasia A Samsonova, John Reinitz, Maria Samsonova.
Abstract
We describe a data pipeline developed to extract the quantitative data on segmentation gene expression from confocal images of gene expression patterns in Drosophila. The pipeline consists of five steps: image segmentation, background removal, temporal characterization of an embryo, data registration and data averaging. This pipeline was successfully applied to obtain quantitative gene expression data at cellular resolution in space and at the 6.5-minute resolution in time, as well as to construct a spatiotemporal atlas of segmentation gene expression. Each data pipeline step can be easily adapted to process a wide range of images of gene expression patterns.Entities:
Mesh:
Year: 2008 PMID: 18820476 PMCID: PMC2803333 DOI: 10.4161/fly.6060
Source DB: PubMed Journal: Fly (Austin) ISSN: 1933-6934 Impact factor: 2.160