We're happy to announce SPATIAL,
our browser based multiplex image analysis (spatial omics) tool.
We provide automated biomedical image analysis as a service and develop cutting-edge image processing technology — scalable in throughput, and consistent in quality.
You provide the data, and we do the rest — no need for complicated setups and in-house development.
Your data is our daily business. Our multidisciplinary expert team has spent thousands of hours doing microscopy and biomedical image analysis. They were trained and obtained their PhDs at well-known research institutions worldwide.
Today they use this expertise to develop new workflows and analyze the data of our customers. Their task is to provide you with individual solutions for your data.
Do not let your people work 6 months or longer on reinventing the wheel. Get in touch with our multidisciplinary team with several years of experience.
No need to hire expensive machine-learning experts or data scientists. Our experts have many years of experience and can process your data quickly and reliably.
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.
Use our online mesh viewer to take a quick look at your segmentation results, and share them with your colleagues.
Our multi-disciplinary team of computer scientists and Biology PhDs ensure highest scientific standards in your results. Our experience in setting up machine-learning pipelines greatly reduces the time between obtaining image data to finding statistical insights.
We have already been working with many research institutes worldwide on biomedical topics. Take a look at our other case studies here.
Our valued clients are leading research institutions from all over the world.
