FB2026_02 , released June 18, 2026
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Citation
Myasnikova, E., Surkova, S., Panok, L., Samsonova, M., Reinitz, J. (2009). Estimation of errors introduced by confocal imaging into the data on segmentation gene expression in Drosophila.  Bioinformatics 25(3): 346--352.
FlyBase ID
FBrf0207308
Publication Type
Research paper
Abstract
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.In confocal imaging, the inevitable photon noise is commonly reduced by the averaging of multiple frames. The averaging may introduce errors into the data, if single frames are clipped by microscope hardware. A method based on censoring technique is used to estimate and correct this type of errors. Additional source of errors is the quantification of blurred images. To estimate and correct these errors, the Richardson-Lucy deconvolution method was modified to provide the higher accuracy of data read off from blurred images of the Drosophila blastoderm. We have found that the sizes of errors introduced by confocal imaging make up approximately 5-7% of the mean intensity values and do not disguise the dynamic behavior and characteristic features of gene expression patterns. We also defined a range of microscope parameters for the acquisition of sufficiently accurate data.http://urchin.spbcas.ru/downloads/step/step.htm
PubMed ID
PubMed Central ID
PMC2639076 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Bioinformatics
    Title
    Bioinformatics
    Publication Year
    1998-
    ISBN/ISSN
    1367-4803
    Data From Reference
    Genes (6)