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.
Visualization software shouldn't require months of study to understand; it should adapt to users rather than the other way around. We understand that. Dragonfly users feel right at home, becoming instantly productive in our intuitive user-interface and sensible workflows that don't make users struggle.
Importing images into Dragonfly is always easy, whether your images come from leading microscope and imaging hardware vendors or RAW files produced by academic software. User-friendly import lets users forget about file formats and focus on getting to work with the right images and the critical field-of-view.
No imaging system is without artifacts. Dragonfly's image processing tools are there for users to mitigate image artifacts and restore image clarity so that important features reveal themselves. Industry leading image filters and infinite extensibility empowers users to produce quantitative images with crisp features.
Like our namesake, the Dragonfly, our users experience Advanced Vision. Here, depth perception combines with highly evolved color sensation. Sophisticated but simple controls for color, transparency, shadowing and more mean that users can always relate their findings with eye-popping splendor.
Everyone loves beautiful images that convey new understanding about their favorite materials. But without proper image segmentation, images can fall short of needed quantitative descriptions. Image segmentation in Dragonfly lets users identify and label regions of interest, and conduct analyses on statistical properties.
Whether analyzing pores, fibers, grains, or anything else, Dragonfly's object analysis tools give users unsurpassed simplicity for counting, measuring, and characterizing image features. Interactive visual inspection with object coloring and highlighting means users will always visualize their analysis in meaningful ways.
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 3.5.1 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.
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.
Become instantly productive by creating optimized workflows that can accomplish your image processing and analysis goals faster than ever before.
Supported activities can be grouped under two basic concepts — visual display and object processing — and the application is designed in such a way that all of these activities can be accessed from the main application window. Tools to manipulate images, make basic measurements, and set display properties, as well as advanced functionality such as segmentation, are available in the tool panels on the left side. Object properties and other process controls can be found on the right. Views of imported data and processed objects are contained within scenes in the workspace.