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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F21%3A00542439" target="_blank" >RIV/67985823:_____/21:00542439 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14330/21:00121362

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>

Jazyk výsledku

angličtina

Název v původním jazyce

THE WAVELET-BASED DENOISING OF IMAGES IN FIJI, WITH EXAMPLE APPLICATIONS 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 WAVELET-BASED DENOISING OF IMAGES IN FIJI, WITH EXAMPLE APPLICATIONS 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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Image Analysis and Stereology

ISSN

1580-3139

e-ISSN

—

Svazek periodika

40

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

SI - Slovinská republika

Počet stran výsledku

14

Strana od-do

3-16

Kód UT WoS článku

000639563600002

EID výsledku v databázi Scopus

2-s2.0-85111492312