Detailed Information on Publication Record
2021
The Wavelet-Based Denoising Of Images in Fiji, With Example Applications in Structured Illumination Microscopy
ČAPEK, Martin, Michaela BLAŽÍKOVÁ, Ivan NOVOTNÝ, Helena CHMELOVÁ, David SVOBODA et. al.Basic information
Original name
The Wavelet-Based Denoising Of Images in Fiji, With Example Applications in Structured Illumination Microscopy
Authors
ČAPEK, Martin (203 Czech Republic), Michaela BLAŽÍKOVÁ (203 Czech Republic), Ivan NOVOTNÝ (203 Czech Republic), Helena CHMELOVÁ (203 Czech Republic), David SVOBODA (203 Czech Republic, guarantor, belonging to the institution), Barbora RADOCHOVÁ (203 Czech Republic), Jiří JANÁČEK (203 Czech Republic) and Ondrej HORVÁTH
Edition
Image Analysis & Stereology, International Society for Stereology & Image Analysis, 2021, 1580-3139
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Slovenia
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 0.683
RIV identification code
RIV/00216224:14330/21:00121362
Organization unit
Faculty of Informatics
UT WoS
000639563600002
Keywords in English
discrete wavelet transform; Fiji plugin; image filtration; structured illumination microscopy
Tags
International impact, Reviewed
Změněno: 10/6/2021 22:19, doc. RNDr. David Svoboda, Ph.D.
Abstract
V originále
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.
Links
| EF16_013/0001775, research and development project |
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