Powerful. Flexible. User-friendly. Dragonfly supports innovators in science and production with advanced software solutions for 3D visualization and analysis. Turn images into insights – and data from e.g. X-ray, FIB-SEM, or confocal microscopy into a competitive edge.

Make your project fly - with Dragonfly.

From straightforward visualization to AI-based segmentation and quantification – Dragonfly delivers the features you need for quick meaningful results. Get quantitative answers for your most demanding 2D, 3D and 4D imaging studies, including data from correlative and hyperspectral imaging systems, X-ray, SEM, FIB-SEM, ion beam, confocal microscopy and many more.

Science and Research

Let’s advance science together! Get visually impactful and quantitative results for your research with Dragonfly’s image processing solutions and AI toolchain.

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Industrial Solutions and Quality Assurance

Stay ahead of your industry with Dragonfly’s scientific imaging! Take non-destructive testing to the next level – and boost your production quality, speed and efficiency.

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Dragonfly 3D World

Discover the transformative capabilities of Dragonfly 3D World with Deep Learning, an innovative solution for image processing.


Dragonfly 3D World 2024.1 Release

More than just a new name, Dragonfly 3D world brings a host of improvements and new features to your dragonfly experience. Find out what's new via the release notes below. 

Battery anode cathode segmentation. Data courtesy of ZEISS.

Publications: inspiring research

Dragonfly is proud to support academic research and the advancement of imaging science. Hundreds of scientists rely on Dragonfly's software solutions for their imaging needs. Find a range of inspiring papers, articles and more at the link below.

Events for the Dragonfly community 

Alongside conferences, user group events and online webinars, there is almost always a local Dragonfly event happening at a location near you. Check out our upcoming events at the link below. 

Data courtesy of Hans Larsson, Department of Biology, Redpath Museum, McGill University