Vector field mapping of a 4D deformation study of human vertebrae undergoing continuous compression (CT data courtesy TESCAN/sample courtesy Rush University).
Image Services
Get the image processing, analysis, and reporting you need…
Our Image Services can provide you with everything you need to make the most of your X-ray CT, SEM, FIB-SEM, or other acquired scan data.
Segmentation of mixed wet carbonate. Courtesy of Imperial College London.
Dragonfly is the Premier Software Platform for Scientific Image Processing
Powerful, flexible, and user-friendly, Dragonfly delivers quantitative answers for today's most demanding 2D/3D/4D imaging studies, including data from correlative and hyperspectral imaging systems, X-ray, SEM, FIB-SEM, ion beam, and confocal microscopy, as well as other advanced applications.
Dragonfly with Deep Learning is a transformative solution for image processing. Experience the only commercially-supported Deep Learning engine that lets you train and execute custom networks to meet your own unique image enhancement and image segmentation challenges.
Ceramic Matrix Composite
Automatic segmentation of materials in synchrotron microCT. Images taken at the Advanced Light Source Beamline 8.3.2 (courtesy of Aly Badran, University of Colorado).
Rat Brain Tissue
Automatic segmentation of cellular anantomy in serial-blockface SEM (courtesy of Angel Paredes, Food and Drug Administration).
Chocolate Candy
Image sharpening of KitKat chocolate bar imaged by laboratory microCT (courtesy of IQBI Lab, McGill University).
Nematode C. elegans
Denoising of C. elegans imaged by serial section FIB-SEM (courtesy of Dr. Keana Scott, National Institute for Standards and Technology).
Dragonfly's 3D analysis workflows can be customized with Python or extended with add-ons from the Infinite Toolbox that implement specific tasks and workflows to suit your research objectives.
Choose from a library of extensions tailored to your particular scientific imaging application.
Bone Analysis
Systematic partitioning of images into cortical and trabecular bone, along with a suite of quantitative analysis tools for bone morphology measurements and mappings of anisotropy.
CT Reconstruction
CT Reconstruction provides benchmarked reconstruction algorithms, selectable parameters, iterative methods, a center of rotation finder, and previews for verifying selected settings.
Pore Network Modeling
Provides a ready-made framework for performing for a wide variety of pore network simulations that leverages the University of Waterloo's OpenPNM package.
Hyperspectral Imaging
Seamless integration of spectral and image domains in Dragonfly is the fastest way to interpret your richest multidimensional datasets.
