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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Thermo Scientific Avizo Software stands out as a dependable and adaptable platform for the 3D visualization, analysis, and measurement of significant features derived from imaging datasets, empowering researchers and engineers to transform multi-dimensional microscopy and CT imagery into practical insights. The software supports a broad range of applications, from cutting-edge materials research to fully automated quality assurance and quality control workflows, allowing users to gain profound insights into materials and processes by converting intricate image data into quantifiable parameters and meaningful interpretations. It integrates advanced capabilities such as AI-driven image segmentation, enhancement, denoising, and conventional analysis tools, ensuring precise interpretation and measurement of critical sample attributes. Furthermore, the software allows users to overlay and register various types of imaging and spectroscopy data, irrespective of their format or resolution, facilitating a comprehensive visualization of results in multi-channel mode for correlative analysis. This enriching functionality not only enhances the understanding of complex datasets but also broadens the scope of exploration in scientific research.

Description

Dragonfly 3D World, developed by Object Research Systems (ORS), serves as a sophisticated software platform tailored for the visualization, analysis, and collaborative study of multidimensional images across various scientific and industrial domains. This platform boasts an array of robust features that facilitate the visualization, processing, and interpretation of 2D, 3D, and even 4D imaging data, which can be obtained from modalities like CT, MRI, and electron microscopy, among others. Users can engage in interactive exploration of intricate structures through real-time volume rendering, surface rendering, and orthogonal slicing capabilities. The integration of artificial intelligence within Dragonfly empowers users to harness deep learning techniques for tasks such as image segmentation, classification, and object detection, significantly enhancing analytical precision. Additionally, the software includes sophisticated quantitative analysis tools that allow for region-of-interest investigations, measurements, and statistical assessments. The user-friendly graphical interface of Dragonfly ensures that researchers can construct reproducible workflows and efficiently conduct batch processing, promoting consistency and productivity in their work. Ultimately, Dragonfly 3D World stands out as a vital resource for those seeking to push the boundaries of imaging analysis in their respective fields.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Keras No 
TensorFlow No 

Integrations

Keras Yes 
TensorFlow Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Thermo Fisher Scientific

Founded

2006

Country

United States

Website

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

Vendor Details

Company Name

Dragonfly

Founded

2004

Country

Canada

Website

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

Product Features

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

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