# GPU-accelerating ImageJ Macro image processing workflows using CLIJ

arXiv: https://arxiv.org/abs/2008.11799 · HTML: https://mlsanity.com/paper/2008.11799/

## Key facts

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

## Built on by (most cited first, 1 of 1)

- [cubic: CUDA-accelerated 3D Bioimage Computing](https://mlsanity.com/paper/2510.14143/) (2025)

## 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.