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A high-throughput method for quantifying gene expression data from early <Emphasis Type="Italic">Drosophila</Emphasis> embryos
Authors:Hilde?Janssens  Dave?Kosman  Carlos?E?Vanario-Alonso  Johannes?Jaeger  Maria?Samsonova  Email author" target="_blank">John?ReinitzEmail author
Institution:(1) Department of Applied Mathematics and Statistics, and Center for Developmental Genetics, Stony Brook University, Stony Brook, NY 11794-3600, USA;(2) Department of Biology, University of California, San Diego, CA 92093, USA;(3) Universidade Federal do Rio de Janeiro, Instituto de Biofísica Carlos Chagas Filho, Rio de Janeiro, RJ, 21949-900, Brazil;(4) Department of Computational Biology, Center of Advanced Studies, St. Petersburg State Polytechnic University, St. Petersburg, 195251, Russia
Abstract:We describe an automated high-throughput method to measure protein levels in single nuclei in blastoderm embryos of Drosophila melanogaster by means of immunofluorescence. The method consists of a chain of specific algorithms assembled into an image processing pipeline. This pipeline transforms a confocal scan of an embryo stained with fluorescently tagged antibodies into a text file. This text file contains a numerical identifier for each nucleus, the coordinates of its centroid, and the average concentrations of three proteins in that nucleus. The central algorithmic component of the method is the automatic identification of nuclei by edge detection with the use of watersheds as an error-correction step. This method provides high-throughput quantification at cellular resolution.Electronic Supplementary Material Supplementary material is available for this article at .H. Janssens and D. Kosman contributed equally to this paper.
Keywords:Image segmentation  Mathematical morphology  Insect segmentation  Drosophila blastoderm
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