Advanced Solutions for Scientific and Industrial Data

Dragonfly is a software platform for the intuitive inspection of multi-scale multi-modality image data. Its user-friendly experience translates into powerful quantitative findings with high-impact visuals, driven by nuanced easy-to-learn controls.

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Welcome to Dragonfly unparalleled segmentation unmatched rendering unsurpassed extensibility the future

Dragonfly organizes and delivers the features you need to accomplish meaningful results without wasting time.

Dragonfly results...


    Segmented Fish (Polypterus) Head

    Courtesy of Hans Larsson, McGill University

    Retina Cell Segmented by Deep Learning

    Courtesy of Christopher Bleck, NIH

    Microstructure of a New Alloy

    Courtesy of Piotr Bala, AGH UST

    Shale Rock Sample


    Segmented Shale Rock Sample


    3D Printed Aluminum Mesh

    Courtesy of Morgan Letenneur, ÉTS

    Plasma atomized pure Titanium powder


    3D Visualization of an Industrial Part


    3D Visualization of a Cheetah Skull

    Courtesy of DigiMorph

Workflow Ready and Extensible

Dragonfly is agnostic when it comes to what images users visualize and process. The same state-of-the-art tools can be brought to bear across a range of demanding research problems.

Dragonfly's Python Integration

Our product team can't think of everything. They don't have to. Thanks to an integrated Anaconda Python distribution, Dragonfly users can execute numpy and scipy functions directly in the application, deploy Python scripts that access Dragonfly data objects, and build their own plug-ins by leveraging the powerful image processing algorithms freely available in the Python ecosystem.

Dragonfly's ready-to-use Anaconda distribution for Dragonfly, which includes the best open-source computational packages for image processing, is based on Python 3.7 and includes numpy and scipy. Numpy is an extension for handling multi-dimensional arrays, while scipy provides tools for data preparation, image analysis, segmentation, and machine learning.

With auto-completion for known attributes and functions, Dragonfly's comprehensive Python console allows for easy execution of workflow steps so that you can take the software exactly where you need it to be.

Application Areas

Enhance your understanding of 3D scientific, industrial, and biomedical data acquired from almost any source, including microCT, X-ray microscopy, FIB-SEM and TEM systems, and other modalities.

Dragonfly provides the ideal framework for specialized workflows across a wide range of application areas with advanced post-processing capabilities that include 2D and 3D image processing, slice registration, object separation, as well as feature extraction and measurement tools.

Dragonfly refines the analysis and characterization of material samples to help researchers and engineers thoroughly understand the structures and physical properties of different materials and turn insights into innovation and improve product quality.

Dragonfly's advanced 3D imaging workflows offer capabilities for exploration and experimentation at multiple scales and dimensions for understanding the structures and properties of metals, composites, ceramics, polymers, fibrous materials and porous media, as well as batteries, fuel cells, and other energy materials.

Dragonfly facilitates the intuitive analysis of multi-modality biological and biomedical image data by letting researchers design and adapt segmentation and detection workflows to experimental setups in such domains as cellular biology, neuroscience, zoology and plant sciences, and bioengineering.

NOTE Dragonfly is NOT a clinically approved medical device. For clinical applications, ORS Visual Pro offers a full suite of advanced 3D visualization and analysis tools for the diagnostic evaluation of medical image data.

Leverage the full value of your mineralogy and petrology data and make detailed observations and characterization decisions with Dragonfly workflows that accelerate your understanding of reservoir and source rock samples, petrophysical data, and the properties of raw materials.

Dragonfly helps solve technological problems related to shrinking geometries, new materials, and increasingly complex structures and minimize time-to-result using workflows to gain an understanding of structure-property relationships, package construction, and reliability.

For manufacturing and industrial applications, including electronics, automotive, chip packaging, and additive manufacturing, Dragonfly provides wall thickness, inclusion analysis, pore quantification, and other analysis routines to investigate properties, perform failure analysis, and characterize process efficiency.

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