<p>Current challenges in GPU-accelerated image processing for the life sciences</p>

Robert Haase

doi:10.7490/f1000research.1118912.1

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Haase R. Current challenges in GPU-accelerated image processing for the life sciences [version 1; not peer reviewed]. F1000Research 2022, 11:81 (slides) (https://doi.org/10.7490/f1000research.1118912.1)

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Current challenges in GPU-accelerated image processing for the life sciences

Robert Haase¹

Published 24 Jan 2022 (https://doi.org/10.7490/f1000research.1118912.1)

Author Affiliations

¹ DFG Cluster of Excellence 'Physics of Life', TU Dresden, Germany

Copyright © 2022 Haase R. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 24 Jan 2022

Current challenges in GPU-accelerated image processing for the life sciences
[version 1; not peer reviewed]

Robert Haase¹

Author Affiliations

¹ DFG Cluster of Excellence 'Physics of Life', TU Dresden, Germany

Abstract

Competing Interests

No competing interests were disclosed

Keywords

GPU-accelerated image processing, microscopy, processing grids of cells, clij, clesperanto

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