Canadian Dragonfly 3D image processing and analysis software

The Dragonfly software produced by Comet Technologies Canada (formerly ORS) can quickly transform complex microstructures into comprehensive research results, making it the best quantitative analysis platform for today's most challenging scientific and industrial 2D/3D/4D imaging research. It is widely used inMetal/alloy/composite materials, etcMaterials ScienceCells/animals and plants (such as mice/insects/wood/roots/bamboo) and other organismsLife SciencesPetroleum geology, etcEarth Science Field.

More and more scientific research and industrial fields are using 3D imaging equipment such as ion beam electron microscopy FIB-SEM, X-ray CT (including MicroCT/NanoCT), magnetic resonance MRI, serial sectioning microscope, etc. to scan and image various experimental or industrial samples to obtain internal 3D structures. Although the principles of these devices are different, the data obtained are all three-dimensional volumetric data. Dragonfly is a professional software for processing such 3D data.

utilizeDragonflyDeep learning technology is used for retinal cell segmentation, Data from the National Institutes of Health in the United States（NIHofChristopher Bleckprovide

main features

Advanced capabilities such as post-processing, feature extraction, quantization, and 3D modeling combined with optimal rendering techniques provide an ideal framework for creating stunning visual effects and can support professional workflows in various application fields.

Dragonfly workspace displays a 3D scene, with wall thickness analysis on the left and a 2D scene view on the right, displaying linear measurements of specific targets. Data provided by Dandong Huari Technology Electric Co., Ltd

• Easy to use, intuitive, and customizable interface
• Easily import 2D/3D/4D images, volume data, and proprietary data from microscope and CT scanner hardware
Integrate data from multiple sources and modalities into a single environment
• Provide post-processing functions such as data restructuring, filtering, volume and slice registration, image stitching, etc
• Use interactive inspection and measurement tools to evaluate material structure and properties
Utilizing Dragonfly's deep learning solution to meet the needs of image enhancement and segmentation
Powerful quantitative workflow can be used for feature measurement
The marked objects can be grouped and analyzed for distribution according to any metric
Share your research results using annotated screenshots and easily generated animation sequences
Use macros to automate your 3D analysis workflow and combine multiple macros for batch processing. Provide application extensions for specific needs
Dragonfly's organizers make it easy for you to manage data intensive projects
Dragonfly VizServer can be deployed within the enterprise, including remote network locations, providing all functionalities

image processing
Dragonfly software provides comprehensive image processing and analysis services, from processing obtained images to segmentation and quantification, everything is available. You can share your results through high-resolution annotated screenshots and animated sequences, and publish detailed research reports. The software has functions such as Import, Enhance, Segment, Quantify, Model, Present, etc. Dragonfly software provides various filtering tools from data reconstruction, registration, and 2D, 3D, and 4D stitching to smoothing images, sharpening edges, correcting uneven shadows, extracting features, and more, allowing you to reveal the true data in images and obtain quantitative, unbiased results. Dragonfly's automation tools also allow you to easily batch process multiple images.

Split Wizard
Dragonfly software can use artificial intelligence for image segmentation. Using the segmentation wizard, you only need to draw different features of interest in a subset of image data, and then train the model according to a predefined set of rules. The workflow of the segmentation wizard can smoothly guide you through the various steps of model training to publish robust deep learning and machine learning (classic) models for semantic segmentation. This allows even novice users to achieve good results in just a few minutes without the need to understand deep learning models or parameters.

Example of Segmentation Wizard user interface. Users are guided through options for deep learning model development & refinement of the models as needed

Deep learning
Take your image processing results to a new level and save a lot of tedious work time. The deep learning solution of Dragonfly software provides a simple, direct, and easy-to-use workflow that allows users of all levels to train neural networks for denoising, super-resolution, and semantic segmentation, achieving consistent, reproducible, and unbiased results.
Dragonfly contains advanced network architectures such as U-Net, U-Net SR, Sensor3D, etc., for users to quickly get started. Advanced users can use built-in tools to edit activation functions and other node behaviors, and try different settings for better results. The Visual Feedback option allows the model's inference to display the completion status of each iteration in real-time.

Application scenarios
Dragonfly software is widely used in various fields such as research and non-destructive testing. Its flexible workflow and powerful tools can meet your requirements for material property evaluation and simulation. For example, the research and development of ceramics, ceramic matrix composites (CMCs), and porous media can provide an ideal framework to correlate microstructure and composition; For composite and fiber materials, it can help researchers better understand the structure and behavior of these materials. Industrial parts inspection is one of the main applications of X-CT, which utilizes non-destructive imaging technology to achieve quality assurance through complete 3D part evaluation and evaluation of unique perspectives and critical areas inside the parts. For example, identifying and quantifying defects such as pores and cracks; Evaluate battery quality, especially suitable for industrial high-throughput scenarios such as lithium batteries.

Cross fiber mineral embedded structures in normal and Hyp (osteoporotic) mouse bones revealed by FIB-SEM sectioning microscopy. Journal of Structural Biology 212.2 (2020): 107603

Option Modules
Based on different applications, customers can choose from Bone Analysis module, Dragonfly VizServer enterprise centralized application module, Dragonfly Compute Framework (DCF) cluster application module, Dragonfly Organizer data management module, etc. Dragonfly software, as a sharp tool for scientific and industrial imaging research, will undoubtedly help your research and development to achieve results on the stage, and also bring you a trendy experience of AI deep learning solutions. Welcome to consult and purchase!Teachers who study the three-dimensional structure of the microscopic world are also welcome to register for the softwarefree trialActivity!