Nature MethodsBioinformaticsPeer-reviewed journal article
CLIJ: GPU-accelerated image processing for everyone
Robert HaaseiD, Löıc A. RoyeriD, Peter SteinbachiD, Deborah SchmidtiD, Alexandr DibroviD, Uwe SchmidtiD, MARTIN G. WEIGERTiD, Nicola MaghelliiD, Pavel TomančákiD, Florian JugiD, Eugene Wimberly MyersiD
- Citations
- 246
- FWCI
- 17.99
- Field percentile
- top 1%
Abstract
Graphics processing units (GPU) allow image processing at unprecedented speed. We present CLIJ, a Fiji plugin enabling end-users with entry level experience in programming to benefit from GPU-accelerated image processing. Freely programmable workflows can speed up image processing in Fiji by factor 10 and more using high-end GPU hardware and on affordable mobile computers with built-in GPUs.
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