AI-powered biomedical image analysis
We provide automated biomedical image analysis as a service and develop cutting-edge image processing technology — scalable in throughput, consistent in quality.
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We provide automated biomedical image analysis as a service and develop cutting-edge image processing technology — scalable in throughput, consistent in quality.
Our interdisciplinary team of scientists and machine-learning experts combines human and artificial intelligence to turn terabytes of histopathology data into quantitative results. We develop novel, imaging-based, AI-powered biomarkers that leverage existing imaging assays with the power of deep-learning and extract revolutionary new information from biomedical images.
Unlike our competitors, we do not offer general purpose image analysis software. In contrast, we offer image analysis as an end-to-end service: Our clients upload their data and we take care of the complete image analysis process. This allows us to get most out of our deep-learning technology, tailored to the needs of each client.
| TomoTrace New | LMtrace® | 3dEMtrace | socomap | ||
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| Analysis Type | Endoplasmic Reticulum, Golgi Apparatus, Mitochondria, Plasma Membrane, and other ultrastructural cellular features |
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| Imaging Modality | Stained and unstained TEM tomogram | Light microscopy | Electron microscopy | Light microscopy | |
| Sample Analysis |
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| Prices | from 80 | from 100 | from 2,000 | from 500 | |
| Payment methods | Credit card (stripe), Wire transfer | ||||
| Processing time | 1–2 weeks | 1–2 weeks | 1–2 months | 1–2 weeks | |
All our annotation services are available from our ariadne.ai dashboard. Sign up for an account, and you can submit your datasets to our pipelines. You can track the status of each of your dataset, and download the results as soon as they are available.
Simply drag a file into the dashboard to upload it to our servers. All uploads are encrypted and processed part by part so that you can resume an upload in case it is interrupted.
Our valued clients are leading research institutions from all over the world.
