mlsanityData to 14 Oct 2026

GPU-accelerating ImageJ Macro image processing workflows using CLIJ

arXiv 2008.11799 ↗First posted 26 Aug 2020cs.MS cs.DC q-bio.QMcited by 1

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Abstract (arXiv)

This chapter introduces GPU-accelerated image processing in ImageJ/FIJI. The reader is expected to have some pre-existing knowledge of ImageJ Macro programming. Core concepts such as variables, for-loops, and functions are essential. The chapter provides basic guidelines for improved performance in typical image processing workflows. We present in a step-by-step tutorial how to translate a pre-existing ImageJ macro into a GPU-accelerated macro.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 26 Aug 2020.

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  1. 2025cubic: CUDA-accelerated 3D Bioimage Computingcited by 0