Biomedical vision beyond limits

We revolutionize biomedical imaging with cutting-edge computer vision.

Our mission

To bring the best biomedical computer vision for healthcare, research, and drug development.

7 Patents

20k Hours experience

21 Publications

Transforming spatial omics research
into cutting-edge technology

At Single-Cell Technologies, we transform the newest multi-omics research into AI-based biomedical image understanding, delivering faster and more accurate results through comprehensive software solutions.

Research & Development Today, pathologists face major challenges: a global shortage of experts, time-consuming tissue analysis, and manual cell counting. It doesn’t have to be this way. When processing and interpreting high-content and tissue microscopy images, our software automatically segments, categorizes, and annotates regions, down to the single-cell level. Automate your workflow and focus on what matters most.

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Digital pathology

Being at the forefront of biomedical research, we discovered the need for cutting-edge image-processing software. One that is effortless to use for non-coders yet endlessly customizable for those who code. A solution that is fast, accurate, and comprehensive. But nothing on the market met all these demands. So, we built it.

Coming soon

Personalised cancer treatment Precision medicine is shaping the future of oncology. Our mission is to support smarter, more precise patient care tailored to the individual. We are advancing digital pathology to support personalized cancer treatments using cutting-edge computer vision. This year, we are launching a pilot for a new product, an advanced digital pathology decision support system.

Coming soon

Revolutionize biomedical
research with BIAS

BIAS is an AI-based image processing solution designed to segment, categorize, annotate, and measure regions, down to the single-cell level.
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By transforming research into a comprehensive software-as-a-service platform, BIAS enables faster and more accurate image analysis.
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It is widely used for 2D and 3D high-content and tissue microscopy across various applications and supports the most commonly used microscopes on the market.

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