Introducing

Make AI deep learning
your new standard
for tissue analysis

Oncotopix® Discovery is designed for anyone, and allows tissue-based researchers to tackle both simple and complex datasets to generate reliable quantitative results needed for breakthrough discoveries and publications.

Find out, how easy it is

Deep learning for all

Easy-to-use AI deep learning is now integrated as standard
in all of our analysis packages and research applications.

“Advances in deep learning […] have enabled the extraction of previously hidden information directly from routine histology images of cancer, providing potentially clinically useful information.”

Echle et al., DOI: 10.1038/s41416-020-01122-x

See it, Train it, Find it

With Oncotopix Discovery, anyone with an understanding of tissue morphology can train an AI deep learning APP to get accurate and reproducible results.

See it

Apply your tissue expertise and annotate the structures you want to identify. Our intuitive drawing tool allows for quick and seamless annotation.

No coding, no time-consuming training,
no image analysis experience required.

Train it

Leave the rest to Oncotopix Discovery.
The software will characterize the best features to robustly detect your structures even across heterogeneous tissues.

Find it

Once trained, the APP can be applied to large datasets, using batch processing for walk-away analysis.

Our deep learning APPs are designed to be enriched and reused. You can re-annotate regions and the APP will grow with your research.

Pre-trained knowledge

Powerful pre-trained nuclei segmentation APPs, suitable for brightfield and fluorescence applications, can be further tuned for even more specificity.

Best-in-class platform

Oncotopix Discovery is powered by Visiopharm’s best-in-class image analysis platform, combining 20 years of tissue expertise with innovative state-of-the-art technology. By combining your scientific knowledge with Visiopharm’s analysis expertise, you can generate the reliable quantitative data needed for your research studies and publications.

Use cases

Discover the limitless possibilities for deep learning image analysis.

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Tumor identification
Glomeruli identification
Mitotic 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.

Our 20 years of tissue experience, patented technology and the latest applications of AI deep learning have empowered thousands of projects, yielding results that produced hundreds of publications and countless scientific breakthroughs.

Yours is next.

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

Learn more

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