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Methods for compensation of the light attenuation with depth of images captured by a confocal microscope

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    SYSNO ASEP0049753
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JOstatní články
    TitleMethods for compensation of the light attenuation with depth of images captured by a confocal microscope
    TitleMetody kompenzace útlumu jasu s hloubkou obrazů získaných konfokálním mikroskopem
    Author(s) Čapek, Martin (FGU-C) RID, ORCID
    Janáček, Jiří (FGU-C) RID, ORCID
    Kubínová, Lucie (FGU-C) RID, ORCID
    Source TitleMicroscopy Research and Technique - ISSN 1059-910X
    Roč. 69, č. 8 (2006), s. 624-635
    Number of pages12 s.
    Languageeng - English
    CountryUS - United States
    Keywordsimage enhancement ; confocal microscopy ; histogram warping
    Subject RIVJC - Computer Hardware ; Software
    R&D ProjectsLC06063 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    IAA100110502 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    IAA600110507 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    IAA500200510 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    KJB6011309 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    GA304/05/0153 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z50110509 - FGU-C (2005-2011)
    AnnotationA confocal laser scanning microscope (CLSM) enables us to capture images from a biological specimen in different depths and obtain a series of precisely registered fluorescent images. But images captured from deep layers of the specimen may be darker than images from the topmost layers due to light loss distortions. This effect causes difficulties in subsequent analysis of biological objects. We propose a solution using two approaches: either an online method working already during image acquisition, or an offline method assisting as a post-processing step. In the online method the gain value of a photomultiplier tube of a CLSM is controlled according to the difference of mean image intensities between the reference and currently acquired image. The offline method consists of two stages. In the first stage a standard histogram improving brightness and contrast is created from all images in the series. In the second stage image histograms are warped according to this standard histogram
    WorkplaceInstitute of Physiology
    ContactLucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400
    Year of Publishing2007
Number of the records: 1  

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