Registering Drosophila Embryos at Cellular Resolution to Build a Quantitative 3D Atlas of Gene Expression Patterns and Morphology
The Berkeley Drosophila Transcription Network Project is developing a suite
of methods to convert volumetric data generated by confocal fluorescence
microscopy into numerical, three dimensional representations of gene
expression at cellular resolution. One key difficulty is that fluorescence
microscopy can only capture expression levels for a few gene products in a
given animal. We report on a method for registering 3D expression data from
different Drosophila embryos stained for overlapping subsets of gene
products in order to build a composite atlas, ultimately containing
co-expression information for thousands of genes. Our techniques have also
allowed the discovery of a complex pattern of cell density across the blastula
that changes over time and may play a role in gastrulation.
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Text Reference
Charless Fowlkes, Cris Luengo Hendriks, Soile Keränen, Mark Biggin, David Knowles, Damir Sudar, and Jitendra Malik. Registering drosophila embryos at cellular resolution to build a quantitative 3d atlas of gene expression patterns and morphology. In CSB 2005 Workshop on BioImage Data Minning and Informatics. 2005.BibTeX Reference
@inproceedings{Fowlkes_CSB_2005,author = {Fowlkes, Charless and Hendriks, Cris Luengo and Ker{\"a}nen, Soile and Biggin, Mark and Knowles, David and Sudar, Damir and Malik, Jitendra},
title = "Registering Drosophila Embryos at Cellular Resolution to Build a Quantitative 3D Atlas of Gene Expression Patterns and Morphology",
booktitle = "CSB 2005 Workshop on BioImage Data Minning and Informatics",
year = "2005",
tag = "biological_images"
}