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THE WAVELET-BASED DENOISING OF IMAGES IN FIJI, WITH EXAMPLE APPLICATIONS IN STRUCTURED ILLUMINATION MICROSCOPY

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    SYSNO ASEP0542439
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevTHE WAVELET-BASED DENOISING OF IMAGES IN FIJI, WITH EXAMPLE APPLICATIONS IN STRUCTURED ILLUMINATION MICROSCOPY
    Tvůrce(i) Čapek, Martin (FGU-C) RID, ORCID
    Blažíková, M. (CZ)
    Novotný, I. (CZ)
    Chmelová, H. (CZ)
    Svoboda, D. (CZ)
    Radochová, Barbora (FGU-C) RID, ORCID
    Janáček, Jiří (FGU-C) RID, ORCID
    Horváth, O. (CZ)
    Zdroj.dok.Image Analysis and Stereology - ISSN 1580-3139
    Roč. 40, č. 1 (2021), s. 3-16
    Poč.str.14 s.
    Jazyk dok.eng - angličtina
    Země vyd.SI - Slovinsko
    Klíč. slovadiscrete wavelet transform ; Fiji plugin ; image filtration ; structured illumination microscopy
    Vědní obor RIVBD - Teorie informace
    Obor OECDComputer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    CEPEF16_013/0001775 GA MŠk - Ministerstvo školství, mládeže a tělovýchovy
    LM2018129 GA MŠk - Ministerstvo školství, mládeže a tělovýchovy
    Způsob publikováníOpen access
    Institucionální podporaFGU-C - RVO:67985823
    UT WOS000639563600002
    EID SCOPUS85111492312
    DOI10.5566/ias.2432
    AnotaceFiltration of super-resolved microscopic images brings often troubles with removing undesired image parts like, e.g., noise, inhomogenous background and reconstruction artifacts. Standard filtration techniques, e.g., convolution- or Fourier transform-based methods are not always appropriate, since they may lower image resolution that was acquired by hi-tech and expensive microscopy systems. Thus, in this article it is proposed to filter such images using discrete wavelet transform (DWT). Newly developed Wavelet_Denoise plugin for free available Fiji software package demonstrates important possibilities of applying DWT to images: Decomposition of a filtered picture using various wavelet filters and levels of details with showing decomposed images and visualization of effects of back transformation of the picture with chosen level of suppression or denoising of wavelet coefficients. The Fiji framework allows, for example, using a plethora of various microscopic image formats for data opening, users can easily install the plugin through a menu command and the plugin supports processing 3D images in Z-stacks. The application of the plugin for removal of reconstruction artifacts and undesirable background in images acquired by super-resolved structured illumination microscopy is demonstrated as well.
    PracovištěFyziologický ústav
    KontaktLucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400
    Rok sběru2022
    Elektronická adresahttps://www.ias-iss.org/ojs/IAS/article/view/2432
Počet záznamů: 1