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.
Footnotes
We did some minor adaptations to the text pointing readers to resources in order to gain most out of GPU-accelerated image processing. Furthermore, the behind lying ImageJ versus CLIJ operations benchmarking was entirely rewritten resulting in changes on Figure 1 and increased number of supplementary Figures giving deeper insights in which operation offers which speedup under which condition.