CLIJ: GPU-accelerated image processing for everyone
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F20%3A10245447" target="_blank" >RIV/61989100:27740/20:10245447 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1038/s41592-019-0650-1" target="_blank" >https://doi.org/10.1038/s41592-019-0650-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41592-019-0650-1" target="_blank" >10.1038/s41592-019-0650-1</a>
Alternative languages
Result language
angličtina
Original language name
CLIJ: GPU-accelerated image processing for everyone
Original language description
Modern microscopy generates staggering amounts of multidimensional image data that place increasing demands on processing flexibility and efficiency. One way to speed up image processing is to exploit the parallel processing capabilities of graphics processing units (GPU). Recently, GPU-acceleration was used in specific image-processing tasks such as reconstruction, image quality determination, image restoration, segmentation or visualization. However, in such tools, GPU code is fulfilling one specific purpose and is not intended to be reused in other contexts. By contrast, most common image processing tasks are solved by building flexible workflows consisting of simple operations in widely used tools such as ImageJ and Fiji. Most of these operations were however programmed at a time when GPUs were not commonly used for general-purpose processing. Therefore, typical workflows consisting of core ImageJ operations do not take advantage of GPUs. To address this issue, we developed a flexible and reusable platform for GPU-acceleration in Fiji.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_013%2F0001791" target="_blank" >EF16_013/0001791: IT4Innovations national supercomputing center - path to exascale</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Nature Methods
ISSN
1548-7091
e-ISSN
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Volume of the periodical
17
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
2
Pages from-to
5-6
UT code for WoS article
000508582900003
EID of the result in the Scopus database
2-s2.0-85075364591