Estimation of errors introduced by confocal imaging into the data on segmentation gene expression in Drosophila
Author(s) -
Ekaterina Myasnikova,
Svetlana Surkova,
Lena Panok,
Maria Samsonova,
John Reinitz
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn620
Subject(s) - confocal , computer science , deconvolution , blastoderm , segmentation , microscope , computer vision , artificial intelligence , confocal microscopy , expression (computer science) , pattern recognition (psychology) , biology , gene , optics , algorithm , physics , genetics , programming language , embryogenesis
Currently the confocal scanning microscopy of fluorescently tagged molecules is extensively employed to acquire quantitative data on gene expression at cellular resolution. Following this approach, we generated a large dataset on the expression of segmentation genes in the Drosophila blastoderm, that is widely used in systems biology studies. As data accuracy is of critical importance for the success of studies in this field, we took a shot to evaluate possible errors introduced in the data by acquisition and processing methods. This article deals with errors introduced by confocal microscope.
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