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What is Dragonfly 3D World?

Dragonfly 3D World, created by Object Research Systems (ORS), is an advanced software platform designed for the visualization, analysis, and collaborative exploration of multidimensional images applicable to numerous scientific and industrial sectors. This comprehensive platform features a wide range of powerful tools that support the visualization, processing, and interpretation of imaging data in 2D, 3D, and 4D formats, sourced from modalities such as CT, MRI, and electron microscopy, among others. Users can delve into complex structures through interactive approaches, including real-time volume rendering, surface rendering, and orthogonal slicing. The incorporation of artificial intelligence in Dragonfly allows users to apply deep learning methodologies for image segmentation, classification, and object detection, greatly improving the accuracy of their analyses. Furthermore, the software boasts advanced quantitative analysis capabilities that enable researchers to perform region-of-interest studies, conduct measurements, and execute statistical evaluations. The intuitive graphical interface of Dragonfly aids researchers in building reproducible workflows and streamlining batch processing, thereby enhancing both consistency and productivity in their tasks. With its extensive functionalities and user-friendly design, Dragonfly 3D World is an indispensable tool for professionals eager to expand the frontiers of imaging analysis in their fields. This innovative platform not only facilitates research but also fosters collaboration among scientists and industry experts, making it a cornerstone for future advancements.

What is Avizo Software?

Thermo Scientific Avizo Software is recognized as a versatile and reliable tool for 3D visualization, analysis, and measurement of essential features obtained from imaging datasets, enabling both researchers and engineers to convert multi-dimensional microscopy and CT images into actionable insights. It caters to a wide array of applications, ranging from innovative materials research to fully automated quality assurance and control processes, which equips users with the ability to extract valuable insights into materials and processes by turning complex image data into measurable parameters and significant interpretations. The software boasts sophisticated features like AI-enhanced image segmentation, improvement, denoising, and traditional analysis tools, which guarantee accurate measurement and interpretation of vital sample characteristics. Moreover, it facilitates the overlay and registration of diverse imaging and spectroscopy data types, regardless of their format or resolution, promoting a detailed visualization of results in multi-channel mode for correlative analysis. This enhanced functionality significantly deepens the understanding of intricate datasets while also expanding the horizons of exploration in the realm of scientific research. As a result, researchers can uncover new relationships and patterns that were previously obscured, further propelling innovation in their respective fields.

Media

Media

Integrations Supported

Keras
TensorFlow

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Dragonfly

Date Founded

2004

Company Location

Canada

Company Website

dragonfly.comet.tech/en/product-overview/dragonfly-3d-world

Company Facts

Organization Name

Thermo Fisher Scientific

Date Founded

2006

Company Location

United States

Company Website

www.thermofisher.com/mx/es/home/electron-microscopy/products/software-em-3d-vis/avizo-software.html

Categories and Features

Deep Learning

Not specified

Categories and Features

Materials Science

Not specified

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