Paper
15 May 2002 Mapping organism expression levels at cellular resolution in developing Drosophila
David W. Knowles, Soile Keranen, Mark D. Biggin, Damir Sudar
Author Affiliations +
Abstract
The development of an animal embryo is orchestrated by a network of genetically determined, temporal and spatial gene expression patterns that determine the animals final form. To understand such networks, we are developing novel quantitative optical imaging techniques to map gene expression levels at cellular and sub-cellular resolution within pregastrula Drosophila. Embryos at different stages of development are labeled for total DNA and specific gene products using different fluorophors and imaged in 3D with confocal microscopy. Innovative steps have been made which allow the DNA-image to be automatically segmented to produce a morphological mask of the individual nuclear boundaries. For each stage of development an average morphology is chosen to which images from different embryo are compared. The morphological mask is then used to quantify gene-product on a per nuclei basis. What results is an atlas of the relative amount of the specific gene product expressed within the nucleus of every cell in the embryo at the various stages of development. We are creating a quantitative database of transcription factor and target gene expression patterns in wild-type and factor mutant embryos with single cell resolution. Our goal is to uncover the rules determining how patterns of gene expression are generated.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David W. Knowles, Soile Keranen, Mark D. Biggin, and Damir Sudar "Mapping organism expression levels at cellular resolution in developing Drosophila", Proc. SPIE 4621, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing IX, (15 May 2002); https://doi.org/10.1117/12.467832
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Cited by 4 scholarly publications.
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KEYWORDS
Image segmentation

3D image processing

Confocal microscopy

Image resolution

Organisms

Databases

Image analysis

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