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About the Holoflow project

Holoflow is an open-source software project for high-performance signal processing and digital holography. It is developed by Jules Guillou under the scientific direction of Michael Atlan, a tenured researcher at CNRS, to support digital Doppler holography experiments and real-time retinal blood-flow imaging.

The project is organized as a layered stack. Holovibes is the interactive application used in the laboratory, Holoflow is its graph-based execution runtime, and smaller libraries provide reusable processing tasks, numerical operations, event routing, GPU resource management, and high-throughput file I/O.

The processing graph and laser Doppler angiography shown on the home page are based on the holographic processing described by Puyo et al.1 The example acquisition is derived from the dataset published by Atlan.2

  1. L. Puyo, M. Paques, M. Fink, J.-A. Sahel, and M. Atlan, “In vivo laser Doppler holography of the human retina,” Biomedical Optics Express, vol. 9, no. 9, pp. 4113–4129, 2018. https://doi.org/10.1364/BOE.9.004113. See also the site-wide reference. ↩

  2. M. Atlan, Doppler Holography Measurements of the Eye Fundus in a Volunteer – May 27, 2025 [Data set]. Zenodo, 2025. https://doi.org/10.5281/zenodo.16761111. Licensed under CC BY 4.0. See also the site-wide reference. ↩