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What is BIOVIA ONE Lab?

BIOVIA ONE Lab is a powerful laboratory informatics platform designed to streamline workflows, enhance collaboration, and accelerate research across a variety of scientific domains. This comprehensive solution provides an integrated environment for managing laboratory data and processes, enabling researchers to make quicker, informed decisions. It is widely adopted by organizations in sectors including Life Sciences, Consumer Packaged Goods, and Energy & Materials, among others. ONE Lab's versatility accommodates needs in Research, Development, and Quality Assurance/Quality Control, addressing the specific requirements of scientists in different fields. The platform efficiently manages samples, experiments, data, inventory, and equipment while coordinating workflows through seamless integration with numerous laboratory instruments and software applications. By employing a unified data model across all operational areas, ONE Lab removes the artificial boundaries commonly found between Electronic Lab Notebooks (ELN), Laboratory Information Management Systems (LIMS), Laboratory Execution Systems (LES), and inventory management, fostering a more cohesive integration. This streamlined approach not only enhances efficiency but also significantly boosts the overall productivity of laboratory operations. Ultimately, BIOVIA ONE Lab allows scientists to concentrate on innovation and breakthroughs, free from the complications posed by disjointed systems. In doing so, it paves the way for a more effective and collaborative research environment.

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

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Dassault Systèmes

Date Founded

1981

Company Location

France

Company Website

www.3ds.com/products/biovia/one-lab

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

ELN

Not specified

Life Sciences

Not specified

LIMS

Not specified

Materials Science

Not specified

Categories and Features

Materials Science

Not specified

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