The walevet-based denoising of images in fiji, with exampleapplications in structured illumination microscopy
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378050%3A_____%2F21%3A00542949" target="_blank" >RIV/68378050:_____/21:00542949 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.ias-iss.org/ojs/IAS/article/view/2432" target="_blank" >https://www.ias-iss.org/ojs/IAS/article/view/2432</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5566/ias.2432" target="_blank" >10.5566/ias.2432</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The walevet-based denoising of images in fiji, with exampleapplications in structured illumination microscopy
Popis výsledku v původním jazyce
Filtration 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.
Název v anglickém jazyce
The walevet-based denoising of images in fiji, with exampleapplications in structured illumination microscopy
Popis výsledku anglicky
Filtration 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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20206 - Computer hardware and architecture
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Image Analysis and Stereology
ISSN
1580-3139
e-ISSN
—
Svazek periodika
40
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
SK - Slovenská republika
Počet stran výsledku
14
Strana od-do
3-16
Kód UT WoS článku
000639563600002
EID výsledku v databázi Scopus
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