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What is Visiopharm?

In the last two decades, partnerships with forward-thinking individuals have led to the discovery, comprehension, and minimization of errors from biopsy through data, culminating in remarkable progress in tissue data mining technologies, precision, workflow, and automation. Delve into the fascinating world of image analysis and tissue mining within both multi- and highplexed images, where you can unearth clinically relevant patterns that illuminate disease mechanisms, turning your research tissue images into invaluable insights. Investigate the functionalities of CE-IVD APPs and workflows in image analysis, while also reimagining standardization through AI-driven pathology solutions that bolster diagnostic decision-making processes. The app center acts as your gateway to a vast repository of AI-enhanced applications, including those tailored to meet your unique needs. You can also explore our assortment of publications, guides, webinars, and posters to enrich your knowledge of digital pathology and observe how our software consistently aids our clients in their research endeavors. By harnessing these state-of-the-art tools and resources, you can elevate your work, play a vital role in the evolution of medical science, and pioneer new methods of diagnosis and treatment. The future of pathology is here, and embracing these advancements will undoubtedly propel your contributions to the field.

What is GeoMx Digital Spatial Profiler (DSP)?

Effectively tackle the challenges posed by tissue heterogeneity and the complex nature of microenvironments through the use of the GeoMx Digital Spatial Profiler (DSP), which is distinguished as the most adaptable and robust spatial multi-omic platform designed for the analysis of both FFPE and fresh frozen tissue samples. Unlike other spatial biology tools, GeoMx provides a non-destructive method for profiling RNA and protein expression across diverse tissue compartments and cell populations, all facilitated by an automated and scalable workflow that integrates seamlessly with traditional histology staining techniques. You have the capability to spatially profile the complete transcriptome alongside more than 570 protein targets, either individually or in combination, utilizing sample inputs like whole tissue sections, tissue microarrays (TMAs), or organoids. Opting for GeoMx DSP places you at the leading edge of spatial biology, enhancing your efforts in biomarker discovery and hypothesis validation. This platform empowers you to accurately delineate relevant boundaries, allowing for biology-driven profiling that zeroes in on the tissue microenvironments and cell types that are most critical to your research endeavors. By employing this groundbreaking method, your analyses not only become more comprehensive but also finely tuned to the specific biological questions you aim to address. Ultimately, this paves the way for deeper insights and more impactful findings in your field of study.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Visiopharm

Date Founded

2001

Company Location

Denmark

Company Website

visiopharm.com

Company Facts

Organization Name

nanoString

Company Location

United States

Company Website

nanostring.com/products/geomx-digital-spatial-profiler/geomx-dsp-overview/

Categories and Features

Categories and Features

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