ORS dragonfly 3d 2024.1 Scientific Image Processing full crack download

Dragonfly, a brand of Comet, develops advanced 3D visualization and analysis software for today’s most demanding 2D, 3D, and 4D imaging studies. Dragonfly’s software solutions support scientists and researchers to perform complex image analyses and industrial customers to gain actionable information about their products in a repeatable, reliable, and cost-efficient way.

Equipped with an advanced machine learning-based segmentation engine, Dragonfly’s products feature a user-friendly interface to transform powerful and accurate quantitative findings into high-impact visuals.

From the automotive or aerospace industries, to electronics, semiconductors or scientific research, Dragonfly is here to unleash the true potential of image processing.

What is Dragonfly software? – An overview

Dragonfly is a software platform for scientific image processing developed and distributed by Object Research Systems (ORS). Dragonfly can process CT images to extract quantitative information about various objects and materials. In addition to CT, it can treat various 2D/3D/4D scientific images, including data from correlative and hyperspectral imaging systems, SEM, FIB-SEM, ion beam, and confocal microscopy.

Dragonfly can handle most of the CT image analysis tasks required for materials and life science research. The typical analysis process looks as follows, and Dragonfly covers it all:

1. Load an image stack, usually in TIFF format.
2. Process the image to adjust the file size, reduce noise, enhance contrast, etc., if necessary.
3. Segment the image into phases, such as polymer, voids, and inclusions, for example.
4. Separate and index each object, such as the watershed transformation of multiple voids.
5. Quantitative analysis of the phase volume fraction and the size, shape, orientation, etc. of each object.
6. Generate high-resolution images, videos, graphs of quantitative measurements, etc. for reporting.

 

Dragonfly comes with hundreds of features, but here are some of the most often used: (See the full feature list.)

The main standard features include:

• Data handling and visualization
  • Import image stacks in various formats, including TIFF and DICOM.
  • Data transformation, including cropping, stitching, down/upsampling
  • Visualize 3D CT cross-sections at an arbitrary orientation and location
  • Sophisticated 3D rendering of the raw CT images and segmented volumes with customizable LUTs (lookup tables), lighting, camera settings, surface texture, etc.
  • Comparison of multiple data sets using synchronized view settings
  • Annotations and size measurements
• Image processing filters
  • Various noise reduction and contrast-enhancing filters
  • Ring artifact reduction
• Image segmentation
  • Easy-to-use machine learning segmentation
  • Interactive thresholding, partitioning, histographic, and automatic object segmentation
  • Various paintbrush modes for manual segmentation
  • ROI (region of interest) refinement tools
• Object separation
  • Object separation by investigating connected voxels in ROIs
  • Object separation by watershed transformation
• Quantification and measurements
  • Classifying, sorting, and measuring objects with parameters, such as size, shape, aspect ratio, orientation, location, intensity, etc.
  • Wall thickness analysis based on ROI and surface mesh
  • Pore network modeling and Open PNM extension
• Automation
  • Recording, editing, and running macros
  • Access to Python console to script routine operations
• Reporting
  • Exporting image stacks, ROIs, and quantitative analysis results
  • Generating high-resolution 2D and 3D rendered images
  • Creating 2D and 3D rendered videos

Optional modules include:

• Reconstruction
• Deep learning image segmentation
• Deep learning image processing, such as super-resolution
• Bone analysis

Dragonfly Crack is a powerful, multifaceted software platform for processing, visualizing, manipulating, and analyzing scientific datasets acquired with CT, micro-CT, microscopy, FIB-SEM, and other modalities. The supported activities can be divided into 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 for processing images and making basic measurements, as well as advanced features such as segmentation, are available in the left panel. Views of imported data and processed objects are contained in scenes in the workspace. Data properties and settings, as well as related process controls, can be found on the right. The Dragonfly interface also includes a number of contextual windows and dialog boxes that provide access to advanced features such as image processing, aligning slices in an image stack, analyzing objects, and more. Increase your productivity with industry-leading deep learning solutions and advanced quantitative workflows available in Dragonfly 2022.2. Vector field mapping of a 4D deformation study of a human vertebra subjected to continuous compression (CT data provided by TESCAN/sample provided by Rush University).

Features
1. Ease of use
Improve your productivity immediately with Dragonfly’s intuitive user interface
2. Data import
It’s always easy to import data into Dragonfly, whether your images come from leading microscope and imaging hardware vendors, medical device manufacturers, or RAW files generated by academic software
3. Visualize images
From using manipulation tools to adjusting window leveling and applying 3D presets, Dragonfly lets you quickly and easily inspect acquired image data
4. Post-processing
Dragonfly’s image filtering tools let you reduce image artifacts and restore image clarity, while other post-processing options include image stack alignment, image stitching, and image registration
5. Segmentation
Without proper segmentation, images may not achieve the desired quantitative description. With segmentation in Dragonfly, you can quickly identify and mark regions of interest and multiple ROIs. You can also train deep models and machine learning classifiers to automatically handle complex segmentation tasks.
6. Quantification
Dragonfly’s analysis tools provide unparalleled simplicity for counting, measuring, and characterizing image features. In addition, Dragonfly offers application-specific extension libraries designed to improve your dedicated workflows.
7. 3D Modeling
Dragonfly provides 3D modeling options such as meshes, graphs, and vector fields for use in a variety of visualization, simulation, and analysis applications.
8. Introduction
Bring your 3D objects to life with impressive animations, or present your findings with high-quality graphics.
9. Customization
You can extend the capabilities of Dragonfly by adding your own Python scripts to define custom tools and statistics generators, and by creating your own macros and plugins to describe new workflows.