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What is ORS Dragonfly?

Dragonfly stands out as a versatile and user-friendly software solution that delivers quantitative analysis for a diverse array of imaging studies, including 2D, 3D, and 4D analyses, seamlessly managing data from various imaging modalities such as correlative and hyperspectral imaging, X-ray, SEM, FIB-SEM, ion beam, and confocal microscopy, in addition to more advanced applications. Its interactive inspection tools and comprehensive quantification workflows empower users to gain a profound insight into material structures and their properties. The software offers an extensive range of post-processing features, such as data restructuring, filtering, volume and slice registration, and image stitching, ensuring versatility in handling imaging data. Furthermore, it includes robust segmentation tools that facilitate the accurate labeling of image attributes. Dragonfly also tackles the challenges of image enhancement and segmentation through its sophisticated Deep Learning solutions. Users can effectively streamline their 3D analysis workflows with the help of easily customizable macros. The integration of Deep Learning capabilities revolutionizes the image processing domain, granting access to a commercially-supported Deep Learning engine that supports both the training and execution of custom networks, ultimately elevating the user experience. This cutting-edge approach not only inspires confidence in users, regardless of their skill level, but also enhances their efficiency in managing complex imaging challenges. Consequently, Dragonfly continues to innovate, making it a preferred choice for professionals seeking advanced imaging solutions.

What is BeWell Digital?

Medical professionals, including doctors and radiologists, can utilize an online DICOM viewer to access images, ensuring they achieve the high-quality visuals necessary for precise diagnoses. This platform facilitates seamless sharing of studies among radiologists, surgeons, physicians, and patients, eliminating the requirement for physical film prints. With its easy-to-navigate and user-friendly design, it offers vital image-viewing functionalities such as zooming, rotating, annotating, and panning. Users also have the ability to compare various image sets using different 2D, sagittal, and coronal perspectives to improve their analysis. Moreover, regular updates and enhancements to the viewer come at no extra charge, which significantly elevates patient care while boosting productivity through customized report templates that feature annotated images. The BeWell Digital system provides a streamlined and cohesive radiology experience that is simple to use. Furthermore, it alleviates the workload for technicians, cutting it by over 30% through efficient integration across various systems. By fostering collaboration and improving efficiency, it ultimately leads to enhanced healthcare results, ensuring that all stakeholders benefit from a more effective medical environment. This comprehensive approach not only addresses immediate needs but also paves the way for future advancements in medical imaging technology.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Object Research Systems

Date Founded

2004

Company Location

Canada

Company Website

www.theobjects.com/dragonfly/index.html

Company Facts

Organization Name

BeWell Digital

Date Founded

2021

Company Location

India

Company Website

bewelldigital.com

Categories and Features

Radiology

Image Fusion

Categories and Features

DICOM Viewers

Not specified

Radiology

Not specified

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