Advanced open-source parallel computing software available on github for ultrafast

 

digital holography

 

 

Real-time ultrahigh-speed digital hologram rendering for Doppler imaging and camera-based OCT — demonstrated up to 70,000 frames per second with Holovibes.

Our Service

Our core mission is to provide practical, global support for digital holography: high-throughput acquisition, real-time reconstruction, and reliable analysis pipelines that scale from a single workstation to multi-site clinical studies.

Flagship use cases include clinical-grade laser Doppler holography and real-time camera-based OCT, with strong support for microscopy, vibrometry, and other coherent-light modalities.

Inquiries: contact@digitalholography.org
Community & technical discussion: Discord

01

Open-source software

We build and maintain an open, performance-first software stack for digital holography: Holovibes for real-time, low-latency, ultra-high-throughput rendering; HoloDoppler for streamlined reconstruction and processing; and EyeFlow for automated, quantitative hemodynamic readouts in retinal Doppler holography.

Our engineering focus is not just speed — it is trust at scale: operator-independent automation, built-in quality control, versioned outputs, and auditable provenance, so results remain comparable across devices, sites, and time.

Explore and contribute on GitHub.

02

Applications: devices & workflows

We support teams building coherent-light imaging devices by providing concrete, reusable building blocks: GPU rendering pipelines, streaming-camera integration, structured data formats, and analysis workflows.

Our primary clinical translation track is laser Doppler holography: a fast, non-invasive functional assay of microcirculation that moves beyond “pretty pictures” toward quantitative, beat-resolved endpoints (waveforms, phase/delay, resistance–compliance signatures, and more).

We also support rapid development for camera-based OCT and dynamic holographic microscopy, where real-time rendering and short-time signal analysis are essential. Join our Discord and tell us what you’re building.

03

Education

We train students and engineers to deliver production-grade computational imaging: C++/CUDA performance engineering, high-speed camera streaming (e.g., CoaXPress), GPU memory/dataflow design, and robust signal processing in MATLAB/Python.

We also teach device co-design and workflow thinking — how to build systems that remain stable, reproducible, and maintainable when used every day in research or clinical environments.

We offer internship positions year-round.

Software, Devices & Education

We build open tools that make digital holography fast, reproducible, and deployable. Clone, run, benchmark, and extend — check our GitHub.

Holographic OCT
Camera-based OCT

Real-time rendering + short-time dynamics

Holographic photo-plethysmography
Holographic photo-plethysmography

Contactless vascular dynamics from coherent detection

Digital Holography Foundation
Digital Holography Foundation

Open science + performance engineering + education

Software Design
Software Design

CUDA/C++ pipelines, streaming I/O, reproducible builds

Device Design
Device Design

Open hardware guidance + signal processing templates

About Us

Our mission is to develop, share, and adapt open-source high-performance software for digital holography — so that computational imaging can be faster to build, easier to reproduce, and easier to translate.

We believe open-source is not just a licensing choice — it is a practical strategy for trust and speed. When pipelines are transparent, versioned, and testable, multicenter comparability becomes realistic, and clinical translation becomes safer.

In our clinical translation work (notably Doppler holography), we focus on the whole chain: acquisition → reconstruction → automated analysis → standardized reports. The end goal is to enable operator-independent, audit-trailed results suitable for real workflows (including structured exports that can plug into modern health data systems).