Because pathology deserves more breakthroughs

scroll down

Visiopharm software comprises the most comprehensive solution for digital pathology available today, implementing the latest technical breakthroughs in deep learning.

Don’t just read about deep learning. Start using it.

Use the latest advances in AI deep learning to advance your research and to answer the questions you didn’t think were possible.

Visiopharm is committed to keeping up with the pace of research in deep learning, and we continuously update our AI capabilities with the latest knowledge. The infinitely configurable environment gives you the tools and flexibility to keep growing with your research.

AI deep learning in three steps

The AI image analysis module facilitates automatic cell identification on H&E and IHC stained tissue sections – saving time and the staining of multiple sections. Advanced deep neural networks are made available in three easy steps.

Learn more about advanced AI features

Annotate

Annotate objects of interest using our drawing tool. Background labels are generated automatically.

Train

Train the network on your region of interest.

Run

Run the network on all your images and review the results.

Conquer all types of complex tissue challenges

Distill complex biology into the meaningful results you need.

Confounding artifacts

Substandard nuclear segmentation

Mediocre identification of tissue structures

Inadequate tumor/stroma separation

Poor detection of heterogeneity

Everyone deserves access to advanced AI

Develop AI protocols without the need for programming. Anyone in your lab can use deep learning to derive the insights for your next breakthrough.

Tedious manual workflows

Complicated post-processing steps

Complex AI terminology

Difficult to learn software

Insufficient shallow learning APPs

Trust the results and make impactful decisions

AI in the hands of pathologists enables more reliable results.

Variable results between operators

Problematic H&E morphology

Unacceptable lab-to-lab variability

Inefficient detection of invasive tissue

Laborious serial sectioning

Hard-to-compare staining

Endless possibilities

AI-enabled image analysis with Visiopharm software uses a teach-by-example methodology, which makes finding meaningful differences between biomarkers, cells and tissues straightforward, no matter the tissue type or stain used.

Use cases

Discover the limitless possibilities for image analysis.

Tumor identification

Glomeruli identification

Mitiotic identification

With automatic identification of tumor regions directly on IHC stained samples, use deep learning to eliminate tedious manual annotations and enable reliable analysis across multiple markers and stains.

Deep learning can automatically identify every glomerulus in all tissue sections, both saving time and increasing reproducibility which allows for more robust downstream analysis of cellular differences.

Deep learning can identify a full range of mitotic figure morphologies, allowing analysis across entire tissue samples and replacing tedious and error-prone manual enumeration approaches.

Decades of experience

Our decades of experience, proven technology and the latest applications of artificial intelligence and deep learning have empowered thousands of projects, yielding results that produced hundreds of publications and countless scientific breakthroughs – yours is next.

Request demo

I think that the huge benefit of Visiopharm is that you can develop your own custom algorithms a lot more efficiently than you can with other software products. The possibilities are virtually endless.
Stefan Hamann, Ph.D., Principal Scientist at the Translational Pathology Laboratory at Biogen

Research solutions

Learn more about our digital image analysis solutions for pathology research.

Learn more

Diagnostics solutions

Learn more about our digital image analysis solutions for pathology diagnostics.

Learn more

Ready-to-use APPs

Explore our APP Center with more than 100 ready-to-use APPs performing image analysis tasks for you.

Learn more